John H. Lewis

2.3k total citations · 1 hit paper
21 papers, 1.8k citations indexed

About

John H. Lewis is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cell Biology. According to data from OpenAlex, John H. Lewis has authored 21 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Cardiology and Cardiovascular Medicine and 7 papers in Cell Biology. Recurrent topics in John H. Lewis's work include Cardiomyopathy and Myosin Studies (7 papers), Cellular Mechanics and Interactions (5 papers) and Ion channel regulation and function (5 papers). John H. Lewis is often cited by papers focused on Cardiomyopathy and Myosin Studies (7 papers), Cellular Mechanics and Interactions (5 papers) and Ion channel regulation and function (5 papers). John H. Lewis collaborates with scholars based in United States, France and United Kingdom. John H. Lewis's co-authors include Roderick MacKinnon, Morgan Sheng, D. Doyle, Eunjoon Kim, Alice A. Lee, Roderick MacKinnon, Rama Ranganathan, E. Michael Ostap, Joseph M. Laakso and Henry Shuman and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

John H. Lewis

19 papers receiving 1.8k citations

Hit Papers

Crystal Structures of a Complexed and Peptide-Free Membra... 1996 2026 2006 2016 1996 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John H. Lewis United States 12 1.3k 638 420 416 139 21 1.8k
Montserrat Samsó United States 24 1.5k 1.1× 338 0.5× 287 0.7× 649 1.6× 86 0.6× 56 1.8k
András Málnási‐Csizmadia Hungary 23 1.4k 1.1× 815 1.3× 168 0.4× 1.1k 2.6× 320 2.3× 70 2.5k
Vadim A. Klenchin United States 24 1.6k 1.2× 857 1.3× 523 1.2× 140 0.3× 43 0.3× 36 2.5k
Sarah E. Rice United States 23 2.1k 1.6× 1.8k 2.8× 310 0.7× 311 0.7× 196 1.4× 46 3.3k
Abdellatif Fattoum France 21 787 0.6× 689 1.1× 165 0.4× 342 0.8× 98 0.7× 53 1.4k
Ryoki Ishikawa Japan 21 874 0.6× 865 1.4× 318 0.8× 318 0.8× 493 3.5× 40 2.0k
John A. Putkey United States 34 2.2k 1.6× 275 0.4× 364 0.9× 939 2.3× 124 0.9× 69 3.0k
Srinagesh V. Koushik United States 18 1.1k 0.8× 218 0.3× 274 0.7× 198 0.5× 67 0.5× 21 1.5k
Manuel D. Leonetti United States 20 2.2k 1.6× 276 0.4× 364 0.9× 224 0.5× 69 0.5× 33 2.7k
Shohei Maékawa Japan 25 1.4k 1.0× 1.1k 1.7× 384 0.9× 180 0.4× 68 0.5× 89 2.2k

Countries citing papers authored by John H. Lewis

Since Specialization
Citations

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

Fields of papers citing papers by John H. Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John H. Lewis. 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 John H. Lewis. The network helps show where John H. Lewis may publish in the future.

Co-authorship network of co-authors of John H. Lewis

This figure shows the co-authorship network connecting the top 25 collaborators of John H. Lewis. A scholar is included among the top collaborators of John H. Lewis 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 John H. Lewis. John H. Lewis 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.
Lewis, John H., et al.. (2025). Examination of conformational dynamics of AdiC transporter with fluorescence-polarization microscopy. The Journal of General Physiology. 157(3).
2.
Zhou, Yufeng, John H. Lewis, & Zhe Lü. (2023). Tracking multiple conformations occurring on angstrom-and-millisecond scales in single amino-acid-transporter molecules. eLife. 12. 1 indexed citations
3.
Lewis, John H. & Zhe Lü. (2019). Energetics of ångström-scale conformational changes in an RCK domain of the MthK K+ channel. Nature Structural & Molecular Biology. 26(9). 808–815. 5 indexed citations
4.
Lewis, John H. & Zhe Lü. (2019). Integrating spatiotemporal features of a ligand-regulated, multi-state allosteric protein. Nature Structural & Molecular Biology. 26(9). 816–822. 6 indexed citations
5.
Lewis, John H. & Zhe Lü. (2019). Resolution of ångström-scale protein conformational changes by analyzing fluorescence anisotropy. Nature Structural & Molecular Biology. 26(9). 802–807. 11 indexed citations
6.
Lewis, John H., et al.. (2017). Deconvolution of Camera Instrument Response Functions. Biophysical Journal. 112(6). 1214–1220. 2 indexed citations
7.
Lewis, John H., et al.. (2016). Accessible, Feature-Rich Software for Rigorous Model Fitting using Maximum Likelihood Estimation. Biophysical Journal. 110(3). 331a–331a. 1 indexed citations
8.
Fenix, Aidan M., Nilay Taneja, John H. Lewis, et al.. (2016). Expansion and concatenation of nonmuscle myosin IIA filaments drive cellular contractile system formation during interphase and mitosis. Molecular Biology of the Cell. 27(9). 1465–1478. 91 indexed citations
9.
Lewis, John H., et al.. (2016). MEMLET: An Easy-to-Use Tool for Data Fitting and Model Comparison Using Maximum-Likelihood Estimation. Biophysical Journal. 111(2). 273–282. 44 indexed citations
10.
Lewis, John H., Michael J. Greenberg, Joseph M. Laakso, Henry Shuman, & E. Michael Ostap. (2012). Calcium Regulation of Myosin-I Tension Sensing. Biophysical Journal. 102(12). 2799–2807. 25 indexed citations
11.
Laakso, Joseph M., John H. Lewis, Henry Shuman, & E. Michael Ostap. (2009). Control of myosin-I force sensing by alternative splicing. Proceedings of the National Academy of Sciences. 107(2). 698–702. 36 indexed citations
12.
Lewis, John H. & Robert C. Savage. (2009). Two-Knife Scar Excision. Annals of The Royal College of Surgeons of England. 91(1). 84–84.
13.
Laakso, Joseph M., John H. Lewis, Henry Shuman, & E. Michael Ostap. (2008). Myosin I Can Act As a Molecular Force Sensor. Science. 321(5885). 133–136. 182 indexed citations
14.
Manceva, Slobodanka D., Tianming Lin, Huy Quang Pham, et al.. (2007). Calcium Regulation of Calmodulin Binding to and Dissociation from the Myo1c Regulatory Domain. Biochemistry. 46(42). 11718–11726. 30 indexed citations
15.
Lewis, John H., et al.. (2006). Temperature Dependence of Nucleotide Association and Kinetic Characterization of Myo1b. Biochemistry. 45(38). 11589–11597. 26 indexed citations
16.
Lü, Zhe, Eric Blanc, Weili Jin, et al.. (1999). Solution structure of potassium channel-inhibiting scorpion toxin Lq2. Proteins Structure Function and Bioinformatics. 34(4). 417–426. 14 indexed citations
17.
Jin, Weili, et al.. (1999). Mechanisms of Inward-Rectifier K+ Channel Inhibition by Tertiapin-Q. Biochemistry. 38(43). 14294–14301. 96 indexed citations
18.
Ranganathan, Rama, John H. Lewis, & Roderick MacKinnon. (1996). Spatial Localization of the K+ Channel Selectivity Filter by Mutant Cycle–Based Structure Analysis. Neuron. 16(1). 131–139. 252 indexed citations
19.
Doyle, D., Alice A. Lee, John H. Lewis, et al.. (1996). Crystal Structures of a Complexed and Peptide-Free Membrane Protein–Binding Domain: Molecular Basis of Peptide Recognition by PDZ. Cell. 85(7). 1067–1076. 960 indexed citations breakdown →
20.
Lewis, John H. & Robert W. Mendicino. (1995). Squamous cell carcinoma of the great toe.. PubMed. 33(5). 482–5. 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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