Philip E. Bourne

42.3k total citations · 5 hit papers
255 papers, 16.6k citations indexed

About

Philip E. Bourne is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Philip E. Bourne has authored 255 papers receiving a total of 16.6k indexed citations (citations by other indexed papers that have themselves been cited), including 193 papers in Molecular Biology, 61 papers in Materials Chemistry and 36 papers in Computational Theory and Mathematics. Recurrent topics in Philip E. Bourne's work include Protein Structure and Dynamics (79 papers), Enzyme Structure and Function (57 papers) and Bioinformatics and Genomic Networks (37 papers). Philip E. Bourne is often cited by papers focused on Protein Structure and Dynamics (79 papers), Enzyme Structure and Function (57 papers) and Bioinformatics and Genomic Networks (37 papers). Philip E. Bourne collaborates with scholars based in United States, United Kingdom and Germany. Philip E. Bourne's co-authors include Ilya N. Shindyalov, Lei Xie, Julia Ponomarenko, John Westbrook, Helen M. Berman, Li Xie, Alessandro Sette, Wolfgang F. Bluhm, Huynh‐Hoa Bui and Helge Weissig and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Philip E. Bourne

250 papers receiving 16.3k citations

Hit Papers

The Protein Data Bank 1998 2026 2007 2016 2002 1998 2008 2010 2016 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip E. Bourne United States 55 11.9k 3.4k 2.4k 1.3k 1.2k 255 16.6k
Sándor Vajda United States 58 12.0k 1.0× 3.5k 1.0× 2.8k 1.2× 1.8k 1.3× 1.3k 1.1× 239 16.6k
Haim J. Wolfson Israel 61 11.7k 1.0× 3.3k 1.0× 3.7k 1.5× 1.3k 1.0× 885 0.8× 176 16.5k
Alexandre M. J. J. Bonvin Netherlands 68 17.6k 1.5× 2.7k 0.8× 3.8k 1.6× 1.8k 1.3× 1.7k 1.5× 265 22.5k
Gert Vriend Netherlands 63 15.3k 1.3× 1.9k 0.6× 3.7k 1.6× 893 0.7× 1.5k 1.2× 192 21.0k
Matthew P. Jacobson United States 63 11.4k 1.0× 2.6k 0.8× 2.3k 0.9× 884 0.7× 822 0.7× 200 17.2k
Gregory L. Warren United States 19 13.8k 1.2× 2.1k 0.6× 4.2k 1.7× 644 0.5× 1.2k 1.0× 32 18.8k
Alexey V. Onufriev United States 37 13.7k 1.1× 2.5k 0.7× 3.4k 1.4× 701 0.5× 669 0.6× 100 19.0k
Ray Luo United States 43 12.6k 1.1× 2.3k 0.7× 3.3k 1.4× 691 0.5× 612 0.5× 180 17.5k
Jens Meiler United States 63 11.7k 1.0× 2.4k 0.7× 2.9k 1.2× 1.1k 0.9× 553 0.5× 447 16.3k
Thomas Lengauer Germany 67 13.5k 1.1× 4.7k 1.4× 1.3k 0.6× 762 0.6× 1.3k 1.1× 360 25.8k

Countries citing papers authored by Philip E. Bourne

Since Specialization
Citations

This map shows the geographic impact of Philip E. Bourne'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 Philip E. Bourne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip E. Bourne more than expected).

Fields of papers citing papers by Philip E. Bourne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip E. Bourne. 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 Philip E. Bourne. The network helps show where Philip E. Bourne may publish in the future.

Co-authorship network of co-authors of Philip E. Bourne

This figure shows the co-authorship network connecting the top 25 collaborators of Philip E. Bourne. A scholar is included among the top collaborators of Philip E. Bourne 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 Philip E. Bourne. Philip E. Bourne 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.
Zhao, Zheng & Philip E. Bourne. (2024). Advances in reversible covalent kinase inhibitors. Medicinal Research Reviews. 45(2). 629–653. 5 indexed citations
2.
Draizen, Eli J., Stella Veretnik, Cameron Mura, & Philip E. Bourne. (2024). Deep generative models of protein structure uncover distant relationships across a continuous fold space. Nature Communications. 15(1). 8094–8094. 6 indexed citations
3.
Draizen, Eli J., et al.. (2024). Prop3D: A flexible, Python-based platform for machine learning with protein structural properties and biophysical data. BMC Bioinformatics. 25(1). 11–11. 1 indexed citations
4.
McKiernan, Erin C., Lorena A. Barba, Philip E. Bourne, et al.. (2023). Policy recommendations to ensure that research software is openly accessible and reusable. PLoS Biology. 21(7). e3002204–e3002204. 7 indexed citations
5.
Bourne, Philip E.. (2021). Is “bioinformatics” dead?. PLoS Biology. 19(3). e3001165–e3001165. 10 indexed citations
6.
Bonazzi, Vivien & Philip E. Bourne. (2017). Should biomedical research be like Airbnb?. PLoS Biology. 15(4). e2001818–e2001818. 3 indexed citations
7.
Krumholz, Harlan M., Philip E. Bourne, Richard E. Kuntz, et al.. (2016). Data Acquisition, Curation, and Use for a Continuously Learning Health System: A Vital Direction for Health and Health Care. NAM Perspectives. 6(9). 4 indexed citations
8.
Xie, Lei, et al.. (2014). Towards Structural Systems Pharmacology to Study Complex Diseases and Personalized Medicine. PLoS Computational Biology. 10(5). e1003554–e1003554. 48 indexed citations
9.
Xie, Li, et al.. (2011). Drug Discovery Using Chemical Systems Biology: Weak Inhibition of Multiple Kinases May Contribute to the Anti-Cancer Effect of Nelfinavir. PLoS Computational Biology. 7(4). e1002037–e1002037. 125 indexed citations
10.
Kinnings, Sarah, et al.. (2010). The Mycobacterium tuberculosis Drugome and Its Polypharmacological Implications. PLoS Computational Biology. 6(11). e1000976–e1000976. 83 indexed citations
11.
Ponomarenko, Julia, et al.. (2010). IEDB-3D: structural data within the immune epitope database. Nucleic Acids Research. 39(Database). D1164–D1170. 50 indexed citations
12.
Xie, Li, Jerry Li, Lei Xie, & Philip E. Bourne. (2009). Drug Discovery Using Chemical Systems Biology: Identification of the Protein-Ligand Binding Network To Explain the Side Effects of CETP Inhibitors. PLoS Computational Biology. 5(5). e1000387–e1000387. 206 indexed citations
13.
Veretnik, Stella, J. Lynn Fink, & Philip E. Bourne. (2008). Computational Biology Resources Lack Persistence and Usability. PLoS Computational Biology. 4(7). e1000136–e1000136. 28 indexed citations
14.
Yang, Song, Russell F. Doolittle, & Philip E. Bourne. (2005). Phylogeny determined by protein domain content. Proceedings of the National Academy of Sciences. 102(2). 373–378. 165 indexed citations
15.
Bourne, Philip E.. (2004). The Protein Data Bank and lessons in data management. Briefings in Bioinformatics. 5(1). 23–30. 17 indexed citations
16.
Berman, Helen M., Talapady N. Bhat, Wolfgang F. Bluhm, et al.. (2002). The Protein Data Bank (PDB) | NIST. Acta Crystallographica Section D Biological Crystallography. 58. 4 indexed citations
17.
Bhat, Talapady N., Philip E. Bourne, Zukang Feng, et al.. (2001). The PDB Data Uniformity Project | NIST. Nucleic Acids Research. 29(1). 1 indexed citations
18.
Weissig, Helge, Ilya N. Shindyalov, & Philip E. Bourne. (1998). Macromolecular Structure Databases: Past Progress and Future Challenges. Acta Crystallographica Section D Biological Crystallography. 54(6). 1085–1094. 3 indexed citations
19.
Shindyalov, Ilya N. & Philip E. Bourne. (1997). Protein data representation and query using optimized data decomposition. Computer applications in the biosciences. 13(5). 487–496. 6 indexed citations
20.
Fitzgerald, Paula M.D., et al.. (1996). The mmCIF dictionary: community review and final approval. Acta Crystallographica Section A Foundations of Crystallography. 52(a1). C575–C575. 7 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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