🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Sai Raghavendra Maddhuri Venkata Subramaniya

Purdue University West Lafayette

ORCID: 0000-0002-1696-7676
Biochemistry, Genetics and Molecular BiologyMaterials Science

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 4%percentile
0.871Author DataRank

Indexed papers

1in 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 1 indexed paper 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 →

Top data-sharing exemplar

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

Outcomes of the EMDataResource cryo-EM Ligand Modeling Challenge

Nature Methods(2024)10.1038/s41592-024-02321-7
Top 23%
0.871DataRank
Top 23%18 citations

Andriy Kryshtafovych, Grigore Pintilie, S.K. Burley, Jiri Cerny, Vincent B. Chen +76 more

Papers

Driven by 12 papers — median percentile 77. Top paper: “Outcomes of the EMDataResource cryo-EM Ligand Modeling Challenge”.

Outcomes of the EMDataResource cryo-EM Ligand Modeling Challenge

Nature Methods(2024)10.1038/s41592-024-02321-7
Top 23%
0.871DataRank
Top 23%18 citations

Andriy Kryshtafovych, Grigore Pintilie, S.K. Burley, Jiri Cerny, Vincent B. Chen +76 more

AttentiveDist: Protein Inter-Residue Distance Prediction Using Deep Learning with Attention on Quadruple Multiple Sequence Alignments

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.11.24.396770
N/A
0DataRank · unranked
4 citations

Genki Terashi, Yuki Kagaya, Sai Raghavendra Maddhuri Venkata Subramaniya, Charles Christoffer, Daisuke Kihara +1 more

Emap2sec+: Detecting Protein and DNA/RNA Structures in Cryo-EM Maps of Intermediate Resolution Using Deep Learning

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.08.22.262675
N/A
0DataRank · unranked
2 citations

Eman Alnabati, Tunde Aderinwale, Sai Raghavendra Maddhuri Venkata Subramaniya, Genki Terashi, Daisuke Kihara +1 more

Detecting protein and DNA/RNA structures in cryo-EM maps of intermediate resolution using deep learning

Nature Communications(2021)10.1038/s41467-021-22577-3
N/A
0DataRank · unranked
47 citations

Eman Alnabati, Tunde Aderinwale, Sai Raghavendra Maddhuri Venkata Subramaniya, Genki Terashi, Daisuke Kihara +1 more

Analyzing effect of quadruple multiple sequence alignments on deep learning based protein inter-residue distance prediction

Scientific Reports(2021)10.1038/s41598-021-87204-z
N/A
0DataRank · unranked
27 citations

Genki Terashi, Yuki Kagaya, Sai Raghavendra Maddhuri Venkata Subramaniya, Charles Christoffer, Daisuke Kihara +1 more

Protein contact map refinement for improving structure prediction using generative adversarial networks

Bioinformatics(2021)10.1093/bioinformatics/btab220
N/A
0DataRank · unranked
13 citations

Genki Terashi, Aashish Jain, Yuki Kagaya, Daisuke Kihara, Sai Raghavendra Maddhuri Venkata Subramaniya

Super-Resolution Cryo-EM Maps With 3D Deep Generative Networks

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.01.12.426430
N/A
0DataRank · unranked
5 citations

Genki Terashi, Daisuke Kihara, Sai Raghavendra Maddhuri Venkata Subramaniya

Residue-wise local quality estimation for protein models from cryo-EM maps

Nature Methods(2022)10.1038/s41592-022-01574-4
N/A
0DataRank · unranked
60 citations

Xiao Wang, Sai Raghavendra Maddhuri Venkata Subramaniya, J.J.G. Tesmer, Daisuke Kihara, Genki Terashi

Enhancing cryo-EM maps with 3D deep generative networks for assisting protein structure modeling

Bioinformatics(2023)10.1093/bioinformatics/btad494
N/A
0DataRank · unranked
18 citations

Genki Terashi, Daisuke Kihara, Sai Raghavendra Maddhuri Venkata Subramaniya

Outcomes of the EMDataResource Cryo-EM Ligand Modeling Challenge

Research Square(2024)10.21203/rs.3.rs-3864137/v1
N/A
0DataRank · unranked
2 citations

Andriy Kryshtafovych, Grigore Pintilie, S.K. Burley, Jiri Cerny, Vincent Chen +76 more

Protein Contact Map Denoising Using Generative Adversarial Networks

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.06.26.174300
N/A
0DataRank · unranked
9 citations

Genki Terashi, Aashish Jain, Yuki Kagaya, Daisuke Kihara, Sai Raghavendra Maddhuri Venkata Subramaniya

Integrative Protein Assembly With LZerD and Deep Learning in CAPRI 47–55

Proteins Structure Function and Bioinformatics(2025)10.1002/prot.26818
N/A
0DataRank · unranked
3 citations

Yuki Kagaya, Jacob Verburgt, Genki Terashi, Woong‐Hee Shin, Anika Jain +8 more