John M. Tang

882 total citations
24 papers, 711 citations indexed

About

John M. Tang is a scholar working on Molecular Biology, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, John M. Tang has authored 24 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 12 papers in Biomedical Engineering and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in John M. Tang's work include Ion channel regulation and function (13 papers), Nanopore and Nanochannel Transport Studies (12 papers) and Lipid Membrane Structure and Behavior (10 papers). John M. Tang is often cited by papers focused on Ion channel regulation and function (13 papers), Nanopore and Nanochannel Transport Studies (12 papers) and Lipid Membrane Structure and Behavior (10 papers). John M. Tang collaborates with scholars based in United States, Netherlands and Switzerland. John M. Tang's co-authors include Bob Eisenberg, Deborah J. Nelson, Lawrence G. Palmer, J.L. Rae, Ryan J. White, Eric N. Ervin, Henry S. White, Paul S. Cremer, Bo Zhang and Susan Daniel and has published in prestigious journals such as Journal of Clinical Investigation, Applied Physics Letters and The Journal of Physical Chemistry B.

In The Last Decade

John M. Tang

23 papers receiving 688 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John M. Tang United States 14 523 248 244 89 65 24 711
Richard A. Levis United States 15 507 1.0× 359 1.4× 195 0.8× 213 2.4× 56 0.9× 17 703
H. Oetliker Switzerland 12 478 0.9× 340 1.4× 258 1.1× 219 2.5× 35 0.5× 24 775
Michael George Germany 19 634 1.2× 442 1.8× 326 1.3× 288 3.2× 89 1.4× 45 1.0k
Timm Danker Germany 20 640 1.2× 212 0.9× 86 0.4× 118 1.3× 27 0.4× 29 1.1k
M.I. Glavinoviċ Canada 16 490 0.9× 412 1.7× 117 0.5× 39 0.4× 30 0.5× 61 783
Fred J. Julian United States 12 265 0.5× 281 1.1× 161 0.7× 252 2.8× 24 0.4× 13 664
M. Kordaš Slovenia 13 317 0.6× 339 1.4× 94 0.4× 107 1.2× 41 0.6× 33 644
C S Hui United States 17 580 1.1× 515 2.1× 330 1.4× 175 2.0× 65 1.0× 35 762
T. Hoshiko United States 16 372 0.7× 230 0.9× 96 0.4× 126 1.4× 25 0.4× 47 714
R. F. Rakowski United States 6 416 0.8× 237 1.0× 52 0.2× 121 1.4× 21 0.3× 8 521

Countries citing papers authored by John M. Tang

Since Specialization
Citations

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

Fields of papers citing papers by John M. Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John M. Tang

This figure shows the co-authorship network connecting the top 25 collaborators of John M. Tang. A scholar is included among the top collaborators of John M. Tang 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 M. Tang. John M. Tang 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.
Tang, John M., et al.. (2012). Single-channel measurements of an N-acetylneuraminic acid-inducible outer membrane channel in Escherichia coli. European Biophysics Journal. 41(3). 259–271. 8 indexed citations
2.
Goryll, Michael, et al.. (2007). Integrated electrodes on a silicon based ion channel measurement platform. Biosensors and Bioelectronics. 23(2). 183–190. 24 indexed citations
3.
Ervin, Eric N., et al.. (2007). AC Conductance of Transmembrane Protein Channels. The Number of Ionized Residue Mobile Counterions at Infinite Dilution. The Journal of Physical Chemistry B. 111(30). 9165–9171. 10 indexed citations
4.
White, Ryan J., Bo Zhang, Susan Daniel, et al.. (2006). Ionic Conductivity of the Aqueous Layer Separating a Lipid Bilayer Membrane and a Glass Support. Langmuir. 22(25). 10777–10783. 86 indexed citations
5.
Goryll, Michael, et al.. (2006). Integrated Platform for Ion Channel Sensing. 2. 1165–1168. 1 indexed citations
6.
Goryll, Michael, Stephen M. Goodnick, T. J. Thornton, et al.. (2005). Integrated sensor design using ion channels inserted into lipid bilayer membranes. 207. 302–304. 1 indexed citations
7.
Miedema, Henk, Jenny Wierenga, John M. Tang, et al.. (2004). Permeation Properties of an Engineered Bacterial OmpF Porin Containing the EEEE-Locus of Ca2+ Channels. Biophysical Journal. 87(5). 3137–3147. 71 indexed citations
8.
Goryll, Michael, Stephen M. Goodnick, T. J. Thornton, et al.. (2004). Ion Channel Sensor on a Silicon Support. MRS Proceedings. 820. 1 indexed citations
9.
Goryll, Michael, Stephen M. Goodnick, T. J. Thornton, et al.. (2004). Teflon™-coated silicon apertures for supported lipid bilayer membranes. Applied Physics Letters. 85(15). 3307–3309. 27 indexed citations
10.
Goryll, Michael, et al.. (2003). Silicon-based ion channel sensor. Superlattices and Microstructures. 34(3-6). 451–457. 18 indexed citations
11.
Eisenberg, Bob, et al.. (2002). Structure-function study of Porins. TechConnect Briefs. 2(2002). 64–67. 6 indexed citations
12.
Tang, John M., et al.. (2002). Three-Dimensional Continuum Simulations of Ion Transport Through Biological Ion Channels: Effect of Charge Distribution in the Constriction Region of Porin. Journal of Computational Electronics. 1(3). 335–340. 21 indexed citations
13.
Wang, Jinsong, John M. Tang, & Bob Eisenberg. (1992). A calcium conducting channel akin to a calcium pump. The Journal of Membrane Biology. 130(2). 163–81. 12 indexed citations
14.
Tang, John M., Jiaxin Wang, & Bob Eisenberg. (1992). [10] Perfusing patch pipettes. Methods in enzymology on CD-ROM/Methods in enzymology. 207. 176–181. 13 indexed citations
15.
Tang, John M., et al.. (1990). Perfusing pipettes. Pflügers Archiv - European Journal of Physiology. 416(3). 347–350. 43 indexed citations
16.
Tang, John M., Jixin Wang, & Bob Eisenberg. (1989). K+-selective channel from sarcoplasmic reticulum of split lobster muscle fibers.. The Journal of General Physiology. 94(2). 261–278. 20 indexed citations
17.
Tang, John M., et al.. (1986). A cation channel in frog lens epithelia responsive to pressure and calcium. The Journal of Membrane Biology. 93(3). 259–269. 93 indexed citations
18.
Nelson, Deborah J., Elizabeth R. Jacobs, John M. Tang, Janice M. Zeller, & R C Bone. (1985). Immunoglobulin G-induced single ionic channels in human alveolar macrophage membranes.. Journal of Clinical Investigation. 76(2). 500–507. 32 indexed citations
19.
Tang, John M., et al.. (1985). Electrophysiology and noise analysis of K+-depolarized epithelia of frog skin. American Journal of Physiology-Cell Physiology. 249(5). C421–C429. 40 indexed citations
20.
Nelson, Deborah J., John M. Tang, & Lawrence G. Palmer. (1984). Single-channel recordings of apical membrane chloride conductance in A6 epithelial cells. The Journal of Membrane Biology. 80(1). 81–89. 142 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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