Peter C. Jordan

3.2k total citations
90 papers, 2.6k citations indexed

About

Peter C. Jordan is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Peter C. Jordan has authored 90 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 34 papers in Atomic and Molecular Physics, and Optics and 33 papers in Biomedical Engineering. Recurrent topics in Peter C. Jordan's work include Lipid Membrane Structure and Behavior (33 papers), Ion channel regulation and function (27 papers) and Spectroscopy and Quantum Chemical Studies (22 papers). Peter C. Jordan is often cited by papers focused on Lipid Membrane Structure and Behavior (33 papers), Ion channel regulation and function (27 papers) and Spectroscopy and Quantum Chemical Studies (22 papers). Peter C. Jordan collaborates with scholars based in United States, Germany and Netherlands. Peter C. Jordan's co-authors include Michael B. Partenskii, G. Miloshevsky, Richard E. Kozack, G. Stark, Shen‐Shu Sung, H. C. Longuet–Higgins, Mingjun Cai, Shen Shu Sung, Howard H. Patterson and Paul B. Dorain and has published in prestigious journals such as The Journal of Chemical Physics, Academy of Management Journal and The Journal of Physical Chemistry B.

In The Last Decade

Peter C. Jordan

89 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter C. Jordan United States 32 1.5k 836 732 379 308 90 2.6k
Gábor Laczkó United States 22 1.1k 0.7× 550 0.7× 200 0.3× 415 1.1× 61 0.2× 49 2.0k
H. Peter Lu United States 21 1.4k 0.9× 807 1.0× 572 0.8× 78 0.2× 142 0.5× 31 2.7k
Godfrey S. Beddard United Kingdom 30 1.4k 0.9× 1.4k 1.6× 133 0.2× 298 0.8× 81 0.3× 101 2.9k
Jörge Peón Mexico 29 1.4k 0.9× 1.5k 1.8× 221 0.3× 447 1.2× 92 0.3× 76 3.7k
W. Patrick Ambrose United States 24 783 0.5× 985 1.2× 1.0k 1.4× 173 0.5× 78 0.3× 50 2.7k
Yiwei Jia United States 18 892 0.6× 1.1k 1.3× 179 0.2× 210 0.6× 61 0.2× 24 2.0k
Elsa C. Y. Yan United States 32 2.2k 1.4× 1.8k 2.2× 335 0.5× 760 2.0× 153 0.5× 79 4.0k
Renske M. van der Veen Switzerland 25 689 0.5× 630 0.8× 162 0.2× 135 0.4× 103 0.3× 68 2.7k
Ivan Rivalta Italy 31 1.4k 1.0× 939 1.1× 135 0.2× 232 0.6× 90 0.3× 100 2.8k
Udo W. Schmitt United States 15 547 0.4× 1.4k 1.6× 217 0.3× 431 1.1× 95 0.3× 18 2.1k

Countries citing papers authored by Peter C. Jordan

Since Specialization
Citations

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

Fields of papers citing papers by Peter C. Jordan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter C. Jordan. 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 Peter C. Jordan. The network helps show where Peter C. Jordan may publish in the future.

Co-authorship network of co-authors of Peter C. Jordan

This figure shows the co-authorship network connecting the top 25 collaborators of Peter C. Jordan. A scholar is included among the top collaborators of Peter C. Jordan 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 Peter C. Jordan. Peter C. Jordan 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.
Miloshevsky, G., A. Hassanein, & Peter C. Jordan. (2010). Conformational Changes in the ApcT Amino Acid Transporter: Monte Carlo Normal Mode Following. Biophysical Journal. 98(3). 687a–687a. 1 indexed citations
2.
Miloshevsky, G., A. Hassanein, & Peter C. Jordan. (2010). Shape-dependent global deformation modes of large protein structures. Journal of Molecular Structure. 972(1-3). 41–50. 2 indexed citations
3.
Miloshevsky, G., A. Hassanein, & Peter C. Jordan. (2010). Antiport Mechanism for Cl−/H+ in ClC-ec1 from Normal-Mode Analysis. Biophysical Journal. 98(6). 999–1008. 18 indexed citations
4.
Miloshevsky, G., A. Hassanein, & Peter C. Jordan. (2009). Slow Gating in ClC Chloride Channels: Normal Mode Analysis. Biophysical Journal. 96(3). 470a–470a. 3 indexed citations
5.
Miloshevsky, G., et al.. (2009). Continuum Multi-dielectric Treatment Of Fluctuations And Breakdown In Membranes With Embedded Charges. Biophysical Journal. 96(3). 663a–663a. 1 indexed citations
6.
Partenskii, Michael B. & Peter C. Jordan. (2009). “Squishy capacitor” model for electrical double layers and the stability of charged interfaces. Physical Review E. 80(1). 11112–11112. 9 indexed citations
7.
Jordan, Peter C.. (2005). Fifty Years of Progress in Ion Channel Research. IEEE Transactions on NanoBioscience. 4(1). 3–9. 17 indexed citations
8.
Jordan, Peter C., et al.. (2004). Ionic Permeation Free Energy in Gramicidin: A Semimicroscopic Perspective. Biophysical Journal. 86(6). 3529–3541. 23 indexed citations
9.
Miloshevsky, G. & Peter C. Jordan. (2004). Gating Gramicidin Channels in Lipid Bilayers: Reaction Coordinates and the Mechanism of Dissociation. Biophysical Journal. 86(1). 92–104. 37 indexed citations
10.
Miloshevsky, G. & Peter C. Jordan. (2004). Anion Pathway and Potential Energy Profiles along Curvilinear Bacterial ClC Cl− Pores: Electrostatic Effects of Charged Residues. Biophysical Journal. 86(2). 825–835. 53 indexed citations
11.
Jordan, Peter C., et al.. (2003). Modeling Permeation Energetics in the KcsA Potassium Channel. Biophysical Journal. 84(5). 2814–2830. 35 indexed citations
12.
Duca, Karen & Peter C. Jordan. (1997). Ion-water and water-water interactions in a gramicidinlike channel: effects due to group polarizability and backbone flexibility. Biophysical Chemistry. 65(2-3). 123–141. 25 indexed citations
13.
Partenskii, Michael B., et al.. (1996). A semi-microscopic Monte Carlo study of permeation energetics in a gramicidin-like channel: the origin of cation selectivity. Biophysical Journal. 70(1). 121–134. 52 indexed citations
14.
Sancho, M., et al.. (1995). Extended dipolar chain model for ion channels: electrostriction effects and the translocational energy barrier. Biophysical Journal. 68(2). 427–433. 23 indexed citations
15.
Partenskii, Michael B., et al.. (1994). Influence of a channel-forming peptide on energy barriers to ion permeation, viewed from a continuum dielectric perspective. Biophysical Journal. 67(4). 1429–1438. 20 indexed citations
16.
Jordan, Peter C.. (1990). Ion-water and ion-polypeptide correlations in a gramicidin-like channel. A molecular dynamics study. Biophysical Journal. 58(5). 1133–1156. 70 indexed citations
17.
Cai, Mingjun & Peter C. Jordan. (1990). How does vestibule surface charge affect ion conduction and toxin binding in a sodium channel?. Biophysical Journal. 57(4). 883–891. 55 indexed citations
18.
Jordan, Peter C., et al.. (1989). How electrolyte shielding influences the electrical potential in transmembrane ion channels. Biophysical Journal. 55(6). 1041–1052. 78 indexed citations
19.
Sung, Shen‐Shu & Peter C. Jordan. (1989). The channel properties of possible gramicidin dimers. Journal of Theoretical Biology. 140(3). 369–380. 8 indexed citations
20.

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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