Jasmine Young

11.0k total citations · 1 hit paper
31 papers, 2.3k citations indexed

About

Jasmine Young is a scholar working on Molecular Biology, Materials Chemistry and Information Systems and Management. According to data from OpenAlex, Jasmine Young has authored 31 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 18 papers in Materials Chemistry and 7 papers in Information Systems and Management. Recurrent topics in Jasmine Young's work include Enzyme Structure and Function (18 papers), Protein Structure and Dynamics (17 papers) and Scientific Computing and Data Management (7 papers). Jasmine Young is often cited by papers focused on Enzyme Structure and Function (18 papers), Protein Structure and Dynamics (17 papers) and Scientific Computing and Data Management (7 papers). Jasmine Young collaborates with scholars based in United States, United Kingdom and Japan. Jasmine Young's co-authors include John Westbrook, Christine Zardecki, Helen M. Berman, David S. Goodsell, S.K. Burley, Andreas Prlić, Peter W. Rose, Wolfgang F. Bluhm, Philip E. Bourne and Cole Christie and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Nature Methods.

In The Last Decade

Jasmine Young

29 papers receiving 2.3k citations

Hit Papers

The RCSB Protein Data Bank: redesigned web site and web s... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jasmine Young United States 16 1.8k 521 505 189 151 31 2.3k
Rafaël Najmanovich Canada 29 1.8k 1.0× 491 0.9× 634 1.3× 125 0.7× 115 0.8× 60 2.3k
Andreas Prlić United States 21 2.4k 1.4× 575 1.1× 422 0.8× 164 0.9× 180 1.2× 41 3.0k
José M. Duarte United States 24 1.5k 0.9× 477 0.9× 357 0.7× 138 0.7× 101 0.7× 46 2.1k
Natalya S. Bogatyreva Russia 17 1.6k 0.9× 365 0.7× 437 0.9× 247 1.3× 107 0.7× 29 2.4k
Diane Joseph‐McCarthy United States 32 1.7k 1.0× 408 0.8× 547 1.1× 310 1.6× 192 1.3× 78 2.8k
P. Therese Lang United States 11 1.8k 1.0× 614 1.2× 773 1.5× 301 1.6× 126 0.8× 13 2.4k
Matthew J. O’Meara United States 17 2.0k 1.1× 547 1.0× 656 1.3× 173 0.9× 115 0.8× 29 2.7k
Hao Fan Singapore 29 2.1k 1.2× 368 0.7× 478 0.9× 158 0.8× 151 1.0× 93 3.0k
Marc F. Lensink France 26 2.4k 1.4× 734 1.4× 819 1.6× 186 1.0× 102 0.7× 83 3.0k
Friedrich Rippmann Germany 18 1.9k 1.1× 366 0.7× 924 1.8× 216 1.1× 120 0.8× 41 2.6k

Countries citing papers authored by Jasmine Young

Since Specialization
Citations

This map shows the geographic impact of Jasmine Young's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jasmine Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jasmine Young more than expected).

Fields of papers citing papers by Jasmine Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jasmine Young. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jasmine Young. The network helps show where Jasmine Young may publish in the future.

Co-authorship network of co-authors of Jasmine Young

This figure shows the co-authorship network connecting the top 25 collaborators of Jasmine Young. A scholar is included among the top collaborators of Jasmine Young based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jasmine Young. Jasmine Young is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bittrich, Sebastian, Jennifer R. Fleming, Sreenath Nair, et al.. (2025). MolViewSpec: a Mol* extension for describing and sharing molecular visualizations. Nucleic Acids Research. 53(W1). W408–W414.
2.
Choudhary, Preeti, Zukang Feng, John M. Berrisford, et al.. (2024). PDB NextGen Archive: centralizing access to integrated annotations and enriched structural information by the Worldwide Protein Data Bank. Database. 2024. 6 indexed citations
3.
Flatt, Justin W., Brian P. Hudson, Irina Persikova, et al.. (2024). Frozen in Motion: FAIR and Sustainable Data Management in Cryo-EM at the Worldwide Protein Data Bank. Microscopy and Microanalysis. 30(Supplement_1). 1 indexed citations
4.
Bittrich, Sebastian, Mihály Váradi, Sameer Velankar, et al.. (2024). Describing and Sharing Molecular Visualizations Using the MolViewSpec Toolkit. Current Protocols. 4(7). e1099–e1099. 3 indexed citations
5.
Burley, S.K., Helen M. Berman, Wah Chiu, et al.. (2022). Electron microscopy holdings of the Protein Data Bank: the impact of the resolution revolution, new validation tools, and implications for the future. Biophysical Reviews. 14(6). 1281–1301. 20 indexed citations
6.
Feng, Zukang, John Westbrook, Raul Sala, et al.. (2021). Enhanced validation of small-molecule ligands and carbohydrates in the Protein Data Bank. Structure. 29(4). 393–400.e1. 21 indexed citations
7.
Young, Jasmine, John M. Berrisford, & Minyu Chen. (2021). wwPDB biocuration: on the front line of structural biology. Nature Methods. 18(5). 431–432. 4 indexed citations
8.
Woods, Robert J., et al.. (2020). Tools to Find Glycoproteins in the Protein Data Bank and Generate Realistic 3D Structures for Them. The FASEB Journal. 34(S1). 1–1. 1 indexed citations
9.
Goodsell, David S., Christine Zardecki, Luigi Di Costanzo, et al.. (2019). RCSB Protein Data Bank: Enabling biomedical research and drug discovery. Protein Science. 29(1). 52–65. 233 indexed citations
10.
Shao, Chenghua, Huanwang Yang, John Westbrook, et al.. (2017). Multivariate Analyses of Quality Metrics for Crystal Structures in the PDB Archive. Structure. 25(3). 458–468. 27 indexed citations
11.
Burley, S.K., Helen M. Berman, Cole Christie, et al.. (2017). RCSB Protein Data Bank: Sustaining a living digital data resource that enables breakthroughs in scientific research and biomedical education. Protein Science. 27(1). 316–330. 215 indexed citations
12.
Yang, Huanwang, Ezra Peisach, John Westbrook, et al.. (2016). DCC: a Swiss army knife for structure factor analysis and validation. Journal of Applied Crystallography. 49(3). 1081–1084. 17 indexed citations
13.
Rose, Peter W., Andreas Prlić, Chunxiao Bi, et al.. (2014). The RCSB Protein Data Bank: views of structural biology for basic and applied research and education. Nucleic Acids Research. 43(D1). D345–D356. 421 indexed citations
14.
Berman, Helen M., Buvaneswari Coimbatore Narayanan, Luigi Di Costanzo, et al.. (2013). Trendspotting in the Protein Data Bank. FEBS Letters. 587(8). 1036–1045. 61 indexed citations
15.
Rose, Peter W., Chunxiao Bi, Wolfgang F. Bluhm, et al.. (2012). The RCSB Protein Data Bank: new resources for research and education. Nucleic Acids Research. 41(D1). D475–D482. 379 indexed citations
16.
Bluhm, Wolfgang F., Bi Chen, Dimitris Dimitropoulos, et al.. (2011). Quality assurance for the query and distribution systems of the RCSB Protein Data Bank. Database. 2011(0). bar003–bar003. 7 indexed citations
17.
Bourne, Philip E., Chunxiao Bi, Wolfgang F. Bluhm, et al.. (2011). The evolution of the RCSB Protein Data Bank website. Wiley Interdisciplinary Reviews Computational Molecular Science. 1(5). 782–789. 7 indexed citations
18.
Rose, Peter W., Bi Chen, Wolfgang F. Bluhm, et al.. (2010). The RCSB Protein Data Bank: redesigned web site and web services. Nucleic Acids Research. 39(Database). D392–D401. 516 indexed citations breakdown →
19.
Dutta, Shuchismita, Jasmine Young, G. Jawahar Swaminathan, et al.. (2008). Data Deposition and Annotation at the Worldwide Protein Data Bank. Molecular Biotechnology. 42(1). 1–13. 89 indexed citations
20.
Andrec, Michael, David A. Snyder, Zhiyong Zhou, et al.. (2007). A large data set comparison of protein structures determined by crystallography and NMR: Statistical test for structural differences and the effect of crystal packing. Proteins Structure Function and Bioinformatics. 69(3). 449–465. 96 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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