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

Xiao Wang

University of Washington

ORCID: 0000-0003-4435-7098

Also affiliated with Purdue University West Lafayette

Biochemistry, Genetics and Molecular BiologyMaterials ScienceComputer 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 1%percentile
4.6Author DataRank

Indexed papers

4in 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 4 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 →

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.

Prediction of protein assemblies, the next frontier: The CASP14‐CAPRI experiment

Proteins Structure Function and Bioinformatics(2021)10.1002/prot.26222
Top 9%
2.3DataRank
Top 9%127 citations

Guillaume Brysbaert, Théo Mauri, Nurul Nadzirin, Sameer Velankar, Raphaël A. G. Chaleil +95 more

Papers

Driven by 17 papers — median percentile 76. Top paper: “Prediction of protein assemblies, the next frontier: The CASP14‐CAPRI experiment”.

Prediction of protein assemblies, the next frontier: The CASP14‐CAPRI experiment

Proteins Structure Function and Bioinformatics(2021)10.1002/prot.26222
Top 9%
2.3DataRank
Top 9%127 citations

Guillaume Brysbaert, Théo Mauri, Nurul Nadzirin, Sameer Velankar, Raphaël A. G. Chaleil +95 more

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

Discriminating physiological from non‐physiological interfaces in structures of protein complexes: A community‐wide study

PROTEOMICS(2023)10.1002/pmic.202200323
Top 25%
0.815DataRank
Top 25%26 citations

Qifang Xu, Gerardo Tauriello, Lorenzo Pantolini, Torsten Schwede, Frédéric Cazals +41 more

Protein Docking Model Evaluation by Graph Neural Networks

Frontiers in Molecular Biosciences(2021)10.3389/fmolb.2021.647915
N/A
0.692DataRank · unranked
100 citations

Sean T. Flannery, Daisuke Kihara, Xiao Wang

NuFold: end-to-end approach for RNA tertiary structure prediction with flexible nucleobase center representation

Nature Communications(2025)10.1038/s41467-025-56261-7
N/A
0.598DataRank · unranked
53 citations

Zicong Zhang, Nabil Ibtehaz, Xiao Wang, Tsukasa Nakamura, Pranav Punuru +2 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
0.581DataRank · unranked
47 citations

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

DAQ-Score Database: assessment of map–model compatibility for protein structure models from cryo-EM maps

Nature Methods(2023)10.1038/s41592-023-01876-1
Top 36%
0.544DataRank
Top 36%18 citations

Xiao Wang, Genki Terashi, Daisuke Kihara, Tsukasa Nakamura

DiffModeler: Large Macromolecular Structure Modeling in Low-Resolution Cryo-EM Maps Using Diffusion Model

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.01.20.576370
N/A
0.543DataRank · unranked
9 citations

Zhu Han, Genki Terashi, Manav Taluja, Daisuke Kihara, Xiao Wang

Scalable network estimation withL0penalty

Statistical Analysis and Data Mining The ASA Data Science Journal(2020)10.1002/sam.11483
N/A
0.174DataRank · unranked
2 citations

Hongtu Zhu, Xiao Wang, Kim‐Anh Do, Junghi Kim

Protein Model Refinement for Cryo-EM Maps Using DAQ score

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.08.23.505034
N/A
0.104DataRank · unranked
1 citations

Xiao Wang, Daisuke Kihara, Genki Terashi

CryoREAD: de novo structure modeling for nucleic acids in cryo-EM maps using deep learning

Nature Methods(2023)10.1038/s41592-023-02032-5
N/A
0DataRank · unranked
49 citations

Genki Terashi, Daisuke Kihara, Xiao Wang

OC_Finder: Osteoclast Segmentation, Counting, and Classification Using Watershed and Deep Learning

Frontiers in Bioinformatics(2022)10.3389/fbinf.2022.819570
N/A
0DataRank · unranked
10 citations

Mizuho Kittaka, Yilin He, Yiwei Zhang, Yasuyoshi Ueki, Daisuke Kihara +1 more

Protein model refinement for cryo-EM maps using AlphaFold2 and the DAQ score

Acta Crystallographica Section D Structural Biology(2022)10.1107/s2059798322011676
N/A
0DataRank · unranked
18 citations

Xiao Wang, Daisuke Kihara, Genki Terashi

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

Surface-based protein domains retrieval methods from a SHREC2021 challenge

Journal of Molecular Graphics and Modelling(2021)10.1016/j.jmgm.2021.108103
N/A
0DataRank · unranked
3 citations

Tunde Aderinwale, Charles Christoffer, Woong‐Hee Shin, Genki Terashi, Xiao Wang +19 more

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

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