Jack A. Henderson

600 total citations
16 papers, 367 citations indexed

About

Jack A. Henderson is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Jack A. Henderson has authored 16 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 2 papers in Infectious Diseases. Recurrent topics in Jack A. Henderson's work include Protein Structure and Dynamics (9 papers), Computational Drug Discovery Methods (5 papers) and Lipid Membrane Structure and Behavior (5 papers). Jack A. Henderson is often cited by papers focused on Protein Structure and Dynamics (9 papers), Computational Drug Discovery Methods (5 papers) and Lipid Membrane Structure and Behavior (5 papers). Jack A. Henderson collaborates with scholars based in United States, China and Norway. Jack A. Henderson's co-authors include Jana Shen, Neha Verma, Yandong Huang, Vinícius M. de Oliveira, Cheng‐Chieh Tsai, Ruibin Liu, Ruibin Liu, Julie A. Harris, Irving M. Liebow and Herman K. Hellerstein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Jack A. Henderson

14 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jack A. Henderson United States 12 255 116 62 51 40 16 367
Xianjin Xu United States 14 478 1.9× 221 1.9× 29 0.5× 80 1.6× 73 1.8× 37 645
Kathryn M. Hart United States 9 483 1.9× 130 1.1× 33 0.5× 117 2.3× 46 1.1× 13 609
Eleonora Gianti United States 13 217 0.9× 53 0.5× 51 0.8× 21 0.4× 28 0.7× 20 388
Jennifer M. Bui Canada 13 418 1.6× 102 0.9× 12 0.2× 103 2.0× 48 1.2× 26 540
Artur Meller United States 9 345 1.4× 144 1.2× 90 1.5× 78 1.5× 6 0.1× 14 451
Abdessamad Ababou United Kingdom 12 308 1.2× 27 0.2× 26 0.4× 59 1.2× 24 0.6× 20 512
Wei Zu Chen China 15 360 1.4× 91 0.8× 79 1.3× 132 2.6× 30 0.8× 30 466
Sara E. Nichols United States 11 483 1.9× 202 1.7× 51 0.8× 54 1.1× 58 1.4× 14 603
Marine E. Bozdaganyan Russia 14 361 1.4× 164 1.4× 48 0.8× 151 3.0× 62 1.6× 27 595
Exequiel Barrera Argentina 12 317 1.2× 43 0.4× 22 0.4× 63 1.2× 35 0.9× 27 440

Countries citing papers authored by Jack A. Henderson

Since Specialization
Citations

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

Fields of papers citing papers by Jack A. Henderson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack A. Henderson. 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 Jack A. Henderson. The network helps show where Jack A. Henderson may publish in the future.

Co-authorship network of co-authors of Jack A. Henderson

This figure shows the co-authorship network connecting the top 25 collaborators of Jack A. Henderson. A scholar is included among the top collaborators of Jack A. Henderson 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 Jack A. Henderson. Jack A. Henderson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Milgram, Benjamin C., Natasja Brooijmans, Jack A. Henderson, et al.. (2025). Discovery of STX-721, a Covalent, Potent, and Highly Mutant-Selective EGFR/HER2 Exon20 Insertion Inhibitor for the Treatment of Non-Small Cell Lung Cancer. Journal of Medicinal Chemistry. 68(3). 2403–2421.
2.
Henderson, Jack A., et al.. (2022). A Guide to the Continuous Constant pH Molecular Dynamics Methods in Amber and CHARMM [Article v1.0]. PubMed. 4(1). 1563–1563. 18 indexed citations
3.
Harris, Julie A., et al.. (2022). GPU-Accelerated All-Atom Particle-Mesh Ewald Continuous Constant pH Molecular Dynamics in Amber. Journal of Chemical Theory and Computation. 18(12). 7510–7527. 58 indexed citations
4.
Huang, Yandong, Jack A. Henderson, & Jana Shen. (2021). Continuous Constant pH Molecular Dynamics Simulations of Transmembrane Proteins. Methods in molecular biology. 2302. 275–287. 11 indexed citations
5.
Liu, Ruibin, Neha Verma, Jack A. Henderson, Shaoqi Zhan, & Jana Shen. (2021). Profiling MAP kinase cysteines for targeted covalent inhibitor design. RSC Medicinal Chemistry. 13(1). 54–63. 12 indexed citations
6.
Henderson, Jack A. & Jana Shen. (2021). Exploring the pH- and Ligand-Dependent Flap Dynamics of Malarial Plasmepsin II. Journal of Chemical Information and Modeling. 62(1). 150–158. 8 indexed citations
7.
Henderson, Jack A., Cole R. Michel, Nichole Reisdorph, et al.. (2020). Multivalent lipid targeting by the calcium-independent C2A domain of synaptotagmin-like protein 4/granuphilin. Journal of Biological Chemistry. 296. 100159–100159. 14 indexed citations
8.
Henderson, Jack A., et al.. (2020). Assessment of proton-coupled conformational dynamics of SARS and MERS coronavirus papain-like proteases: Implication for designing broad-spectrum antiviral inhibitors. The Journal of Chemical Physics. 153(11). 115101–115101. 42 indexed citations
9.
Verma, Neha, Jack A. Henderson, & Jana Shen. (2020). Proton-Coupled Conformational Activation of SARS Coronavirus Main Proteases and Opportunity for Designing Small-Molecule Broad-Spectrum Targeted Covalent Inhibitors. Journal of the American Chemical Society. 142(52). 21883–21890. 62 indexed citations
10.
Henderson, Jack A., Yandong Huang, Oliver Beckstein, & Jana Shen. (2020). Alternative proton-binding site and long-distance coupling in Escherichia coli sodium–proton antiporter NhaA. Proceedings of the National Academy of Sciences. 117(41). 25517–25522. 20 indexed citations
11.
Ma, Shuhua, Jack A. Henderson, & Jana Shen. (2020). Exploring the pH-Dependent Structure–Dynamics–Function Relationship of Human Renin. Journal of Chemical Information and Modeling. 61(1). 400–407. 9 indexed citations
12.
Huang, Yandong, Zhi Yue, Cheng‐Chieh Tsai, Jack A. Henderson, & Jana Shen. (2018). Predicting Catalytic Proton Donors and Nucleophiles in Enzymes: How Adding Dynamics Helps Elucidate the Structure–Function Relationships. The Journal of Physical Chemistry Letters. 9(6). 1179–1184. 32 indexed citations
13.
Henderson, Jack A., et al.. (2018). How Ligand Protonation State Controls Water in Protein–Ligand Binding. The Journal of Physical Chemistry Letters. 9(18). 5440–5444. 28 indexed citations
14.
Bass, Hank W., et al.. (2015). Regional Structure and Function in Bronchiectasis1, 2, 3. American Review of Respiratory Disease.
15.
Henderson, Jack A., et al.. (2015). Membrane Docking of the Synaptotagmin 7 C2A Domain: Computation Reveals Interplay between Electrostatic and Hydrophobic Contributions. Biochemistry. 54(37). 5696–5711. 17 indexed citations
16.
Hellerstein, Herman K., et al.. (1961). Two step exercise test as a test of cardiac function in chronic rheumatic heart disease and in arteriosclerotic heart disease with old myocardial infarction. The American Journal of Cardiology. 7(2). 234–252. 36 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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