Rachael C. Kretsch

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 2%percentile

4.1Author DataRank

Indexed papers

2in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 2 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

De novo3D models of SARS-CoV-2 RNA elements from consensus experimental secondary structures

Nucleic Acids Research(2021)10.1093/nar/gkab119

Top 8%

2.8DataRank

Top 8%85 citations

Andrew M. Watkins, Jose Chacon, Rachael C. Kretsch, Wipapat Kladwang, Ivan N. Zheludev +5 more

Papers

Driven by 24 papers — median percentile 88. Top paper: “De novo3D models of SARS-CoV-2 RNA elements from consensus experimental secondary structures”.

De novo3D models of SARS-CoV-2 RNA elements from consensus experimental secondary structures

Nucleic Acids Research(2021)10.1093/nar/gkab119

Top 8%

2.8DataRank

Top 8%85 citations

Andrew M. Watkins, Jose Chacon, Rachael C. Kretsch, Wipapat Kladwang, Ivan N. Zheludev +5 more

Ribonanza: deep learning of RNA structure through dual crowdsourcing

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.02.24.581671

Top 16%

1.3DataRank

Top 16%35 citations

Rui Huang, Jill Townley, Rachael C. Kretsch, Thomas G. Karagianes, David B.T. Cox +31 more

Assessment of Nucleic Acid Structure Prediction in CASP16

Proteins Structure Function and Bioinformatics(2025)10.1002/prot.70072

N/A

0.470DataRank · unranked

22 citations

Alissa M. Hummer, Shujun He, Rongqing Yuan, Jing Zhang, Thomas G. Karagianes +4 more

CASP15 cryo‐EM protein and RNA targets: Refinement and analysis using experimental maps

Proteins Structure Function and Bioinformatics(2023)10.1002/prot.26644

N/A

0.416DataRank · unranked

15 citations

Rachael C. Kretsch, Luc Elliott, Joseph G. Beton, Andriy Kryshtafovych, Daniel J. Rigden +3 more

RNA target highlights in CASP15: Evaluation of predicted models by structure providers

(2023)10.22541/au.168487314.47726735/v1

N/A

0.165DataRank · unranked

2 citations

Ebbe Sloth Andersen, Janusz M. Bujnicki, Wah Chiu, Rhiju Das, Bingnan Luo +11 more

Tertiary folds of the SL5 RNA from the 5′ proximal region of SARS-CoV-2 and related coronaviruses

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.11.22.567964

N/A

0.165DataRank · unranked

2 citations

Lily Xu, Ivan N. Zheludev, Xueting Zhou, Rui Huang, Nye G +5 more

Assessment of three-dimensional RNA structure prediction in CASP15

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.04.25.538330

N/A

0DataRank · unranked

30 citations

Rachael C. Kretsch, Adam J. Simpkin, Thomas Mulvaney, Phillip Pham, Ramya Rangan +7 more

New prediction categories in CASP15

Desy publication database (The Deutsches Elektronen-Synchrotron)(2023)10.22541/au.168371643.39402261/v1

N/A

0DataRank · unranked

4 citations

Maciej Antczak, Marta Szachniuk, Rachael C. Kretsch, Ramya Rangan, Phillip Pham +11 more

RNA-Puzzles Round V: blind predictions of 23 RNA structures

Nature Methods(2024)10.1038/s41592-024-02543-9

N/A

0DataRank · unranked

65 citations

Yagoub Adam, Ryszard W. Adamiak, Maciej Antczak, Belisa R. H. de Aquino, Nagendar Goud Badepally +94 more

Functional Relevance of CASP16 Nucleic Acid Predictions as Evaluated by Structure Providers

Proteins Structure Function and Bioinformatics(2025)10.1002/prot.70043

N/A

0DataRank · unranked

12 citations

Reinhard Albrecht, Ebbe Sloth Andersen, Hsuan‐Ai Chen, Wah Chiu, Rhiju Das +28 more

Assessment of Protein Complex Predictions in CASP16 : Are We Making Progress?

Proteins Structure Function and Bioinformatics(2025)10.1002/prot.70068

N/A

0DataRank · unranked

8 citations

Rongqing Yuan, Andriy Kryshtafovych, Jimin Pei, Rachael C. Kretsch, R. Dustin Schaeffer +5 more

Engaging the Community: CASP Special Interest Groups

Proteins Structure Function and Bioinformatics(2025)10.1002/prot.26833

N/A

0DataRank · unranked

5 citations

Rachael C. Kretsch, Marcin Magnus, G.T. Montelione, Arne Elofsson

Blind Prediction of Complex Water and Ion Ensembles Around RNA in CASP16

Proteins Structure Function and Bioinformatics(2025)10.1002/prot.70079

N/A

0DataRank · unranked

1 citations

Elisa Posani, Eugene F. Baulin, Janusz M. Bujnicki, Giovanni Bussi, Thomas E. Cheatham +46 more

Functional relevance of CASP16 nucleic acid predictions as evaluated by structure providers

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.04.15.649049

N/A

0DataRank · unranked

10 citations

Reinhard Albrecht, Ebbe Sloth Andersen, Hsuan‐Ai Chen, Wah Chiu, Rhiju Das +28 more

Template-based RNA structure prediction advanced through a blind code competition

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.64898/2025.12.30.696949

N/A

0DataRank · unranked

2 citations

Shujun He, Toshiyuki Oda, G Gangadhareswar Rao, Yehyun Kim, Raehyun Kim +54 more

Complex Water Networks Visualized through 2.2-2.3 Å Cryogenic Electron Microscopy of RNA

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.01.23.634578

N/A

0DataRank · unranked

1 citations

Shanshan Li, Grigore Pintilie, Michael Z. Palo, David A. Case, Rhiju Das +3 more

Engaging the Community: CASP Special Interest Groups

(2025)10.22541/au.174524495.59335850/v1

N/A

0DataRank · unranked

0 citations

Rachael C. Kretsch, Marcin Magnus, G.T. Montelione, Arne Elofsson

Structure of hepcidin-bound ferroportin reveals iron homeostatic mechanisms

Nature(2020)10.1038/s41586-020-2668-z

N/A

0DataRank · unranked

340 citations

Caleigh M. Azumaya, Rachael C. Kretsch, Alexander S. Powers, Shane Gonen, Simon Schneider +5 more

Blind prediction of complex water and ion ensembles around RNA in CASP16

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.11.03.685595

N/A

0DataRank · unranked

0 citations

Elisa Posani, Eugene F. Baulin, Janusz M. Bujnicki, Giovanni Bussi, Thomas E. Cheatham +46 more

Cryo-EM and antisense targeting of the 28-kDa frameshift stimulation element from the SARS-CoV-2 RNA genome

Nature Structural & Molecular Biology(2021)10.1038/s41594-021-00653-y

N/A

0DataRank · unranked

172 citations

Ivan N. Zheludev, Rachel J. Hagey, Raphael Haslecker, Yixuan J. Hou, Rachael C. Kretsch +14 more

Cryo-EM and antisense targeting of the 28-kDa frameshift stimulation element from the SARS-CoV-2 RNA genome

UNC Libraries(2022)10.17615/q6mz-jr12

N/A

0DataRank · unranked

0 citations

Ivan N. Zheludev, Grigore Pintilie, Timothy P. Sheahan, Raphael Haslecker, Ralph S. Baric +14 more

Assessment of three‐dimensional RNA structure prediction in CASP15

Proteins Structure Function and Bioinformatics(2023)10.1002/prot.26602

N/A

0DataRank · unranked

154 citations

Rachael C. Kretsch, Adam J. Simpkin, Thomas Mulvaney, Phillip Pham, Ramya Rangan +7 more

New prediction categories in CASP15

Proteins Structure Function and Bioinformatics(2023)10.1002/prot.26515

N/A

0DataRank · unranked

61 citations

Maciej Antczak, Marta Szachniuk, Tomasz Żok, Rachael C. Kretsch, Ramya Rangan +12 more

RNA target highlights in CASP15: Evaluation of predicted models by structure providers

Proteins Structure Function and Bioinformatics(2023)10.1002/prot.26550

N/A

0DataRank · unranked

53 citations

Ebbe Sloth Andersen, Janusz M. Bujnicki, Wah Chiu, Rhiju Das, Bingnan Luo +11 more

Rachael C. Kretsch

Indexed papers

Top data-sharing exemplar

Papers