Jason B. Cross

3.4k total citations
27 papers, 1.0k citations indexed

About

Jason B. Cross is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Jason B. Cross has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 7 papers in Oncology. Recurrent topics in Jason B. Cross's work include Computational Drug Discovery Methods (10 papers), Protein Structure and Dynamics (5 papers) and Metal and Thin Film Mechanics (3 papers). Jason B. Cross is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Protein Structure and Dynamics (5 papers) and Metal and Thin Film Mechanics (3 papers). Jason B. Cross collaborates with scholars based in United States, United Kingdom and Canada. Jason B. Cross's co-authors include Christine Humblet, Junaid Baber, David C. Thompson, K. Brajesh, Yongbo Hu, Kristi Fan, H. Bernhard Schlegel, Vasanthanathan Poongavanam, Ramachandran Vijayan and Jan Kihlberg and has published in prestigious journals such as Journal of the American Chemical Society, Chemistry of Materials and Analytical Chemistry.

In The Last Decade

Jason B. Cross

26 papers receiving 974 citations

Peers

Jason B. Cross
Sergio Wong United States
Thompson N. Doman United States
Alfonso T. García‐Sosa Estonia
Tatu Pantsar Finland
Miriam Sgobba Italy
Andrew Krueger United States
Zhongjie Liang China
Irene Nobeli United Kingdom
Miquel Duran‐Frigola Spain
Glyn Williams United Kingdom
Sergio Wong United States
Jason B. Cross
Citations per year, relative to Jason B. Cross Jason B. Cross (= 1×) peers Sergio Wong

Countries citing papers authored by Jason B. Cross

Since Specialization
Citations

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

Fields of papers citing papers by Jason B. Cross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason B. Cross. 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 Jason B. Cross. The network helps show where Jason B. Cross may publish in the future.

Co-authorship network of co-authors of Jason B. Cross

This figure shows the co-authorship network connecting the top 25 collaborators of Jason B. Cross. A scholar is included among the top collaborators of Jason B. Cross 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 Jason B. Cross. Jason B. Cross 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.
Petrotchenko, Evgeniy V., et al.. (2025). Characterization of the KRas G12D-inhibitor interactions by differential HDX-MS and molecular dynamics simulations. Computational and Structural Biotechnology Journal. 27. 3618–3624. 1 indexed citations
2.
Nagy, Endre V., Evgeniy V. Petrotchenko, Konstantin Popov, et al.. (2025). A Hit Prioritization Strategy for Compound Library Screening Using LiP-MS and Molecular Dynamics Simulations Applied to KRas G12D Inhibitors. Analytical Chemistry. 97(37). 20228–20236.
3.
Le, Xiuning, Jacqulyne Robichaux, Monique B. Nilsson, et al.. (2023). 1377P Differential impact of EGFR exon 20 insertion location on tyrosine kinase inhibitor sensitivity. Annals of Oncology. 34. S790–S790. 2 indexed citations
4.
Lai, Ying, Michael J. Tuvim, Jeremy Leitz, et al.. (2022). Screening of Hydrocarbon-Stapled Peptides for Inhibition of Calcium-Triggered Exocytosis. Frontiers in Pharmacology. 13. 891041–891041. 7 indexed citations
5.
Vijayan, Ramachandran, Jan Kihlberg, Jason B. Cross, & Vasanthanathan Poongavanam. (2021). Enhancing preclinical drug discovery with artificial intelligence. Drug Discovery Today. 27(4). 967–984. 104 indexed citations
6.
Chung, Injae, Riccardo Serreli, Jason B. Cross, et al.. (2021). Cork-in-bottle mechanism of inhibitor binding to mammalian complex I. Science Advances. 7(20). 31 indexed citations
7.
Zhang, Xin, Jason B. Cross, Jan Antoinette C. Romero, et al.. (2018). In-silico guided discovery of novel CCR9 antagonists. Journal of Computer-Aided Molecular Design. 32(4). 573–582. 3 indexed citations
8.
Cross, Jason B.. (2017). Methods for Virtual Screening of GPCR Targets: Approaches and Challenges. Methods in molecular biology. 1705. 233–264. 4 indexed citations
9.
Yu, Helena A., Cami S. Sima, Darren R. Feldman, et al.. (2016). Phase 1 study of twice weekly pulse dose and daily low-dose erlotinib as initial treatment for patients with EGFR-mutant lung cancers. Annals of Oncology. 28(2). 278–284. 44 indexed citations
10.
Mesleh, Michael F., Jason B. Cross, Jing Zhang, et al.. (2016). Fragment-based discovery of DNA gyrase inhibitors targeting the ATPase subunit of GyrB. Bioorganic & Medicinal Chemistry Letters. 26(4). 1314–1318. 52 indexed citations
11.
Petrocchi, Alessia, Elisabetta Leo, Matthew M. Hamilton, et al.. (2016). Identification of potent and selective MTH1 inhibitors. Bioorganic & Medicinal Chemistry Letters. 26(6). 1503–1507. 52 indexed citations
12.
Zhang, Jing, Jan Antoinette C. Romero, Jennifer Goss, et al.. (2015). Biarylsulfonamide CCR9 inhibitors for inflammatory bowel disease. Bioorganic & Medicinal Chemistry Letters. 25(17). 3661–3664. 15 indexed citations
13.
Friesner, Daniel, et al.. (2014). Policy Note. Journal of Economic Issues. 48(3). 871–886. 3 indexed citations
14.
Duca, José S. & Jason B. Cross. (2013). Quantum mechanical approaches to structurally informed design. International Journal of Quantum Chemistry. 114(5). 305–313. 1 indexed citations
15.
Brooijmans, Natasja, Jason B. Cross, & Christine Humblet. (2010). Biased retrieval of chemical series in receptor-based virtual screening. Journal of Computer-Aided Molecular Design. 24(12). 1053–1062. 3 indexed citations
16.
Unwalla, Rayomand J., Jason B. Cross, Sumeet Salaniwal, et al.. (2010). Using a homology model of cytochrome P450 2D6 to predict substrate site of metabolism. Journal of Computer-Aided Molecular Design. 24(3). 237–256. 32 indexed citations
17.
Feyfant, Eric, et al.. (2010). Fragment-Based Drug Design. Methods in molecular biology. 685. 241–252. 21 indexed citations
18.
Li, Jie, Jason B. Cross, Thom Vreven, et al.. (2005). Lysine carboxylation in proteins: OXA‐10 β‐lactamase. Proteins Structure Function and Bioinformatics. 61(2). 246–257. 38 indexed citations
19.
Birck, Catherine, Jason B. Cross, Clemens Schulze‐Briese, et al.. (2004). X-ray Crystal Structure of the Acylated β-Lactam Sensor Domain of BlaR1 from Staphylococcus aureus and the Mechanism of Receptor Activation for Signal Transduction. Journal of the American Chemical Society. 126(43). 13945–13947. 41 indexed citations
20.
Cross, Jason B. & H. Bernhard Schlegel. (2001). Molecular orbital studies of titanium nitride chemical vapor deposition: gas phase β-elimination. Chemical Physics Letters. 340(3-4). 343–347. 12 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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