Sunil Nath

1.9k total citations
77 papers, 1.5k citations indexed

About

Sunil Nath is a scholar working on Molecular Biology, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Sunil Nath has authored 77 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 14 papers in Biomedical Engineering and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Sunil Nath's work include ATP Synthase and ATPases Research (47 papers), Mitochondrial Function and Pathology (42 papers) and Photosynthetic Processes and Mechanisms (13 papers). Sunil Nath is often cited by papers focused on ATP Synthase and ATPases Research (47 papers), Mitochondrial Function and Pathology (42 papers) and Photosynthetic Processes and Mechanisms (13 papers). Sunil Nath collaborates with scholars based in India, Germany and United States. Sunil Nath's co-authors include John Villadsen, Siddhartha Jain, Subhash Chand, Vandana Gupta, Helmut Hustedt, Wolf‐Dieter Deckwer, H. R. Schütte, Ravikrishnan Elangovan, Costas S. Patrickios and T. Alan Hatton and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and Scientific Reports.

In The Last Decade

Sunil Nath

76 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunil Nath India 24 1.1k 242 149 110 96 77 1.5k
Michael M. Domach United States 23 1.2k 1.1× 436 1.8× 61 0.4× 8 0.1× 69 0.7× 70 1.8k
A. Ghosh India 17 588 0.6× 121 0.5× 35 0.2× 22 0.2× 48 0.5× 84 1.3k
Zhenyu Lu China 20 599 0.6× 86 0.4× 32 0.2× 14 0.1× 118 1.2× 55 1.4k
Claudio Botrè Italy 18 345 0.3× 143 0.6× 15 0.1× 16 0.1× 280 2.9× 78 921
Yunshan Wu China 18 438 0.4× 78 0.3× 41 0.3× 5 0.0× 45 0.5× 44 1.2k
Gerson Kegeles United States 23 776 0.7× 201 0.8× 7 0.0× 48 0.4× 63 0.7× 59 1.6k
David J. Cox United States 24 989 0.9× 134 0.6× 27 0.2× 3 0.0× 47 0.5× 66 1.8k
Stephen S. Chen United States 13 782 0.7× 424 1.8× 23 0.2× 30 0.3× 6 0.1× 18 1.3k
Henry Schneider Canada 30 1.5k 1.4× 1.2k 4.8× 45 0.3× 5 0.0× 25 0.3× 77 2.7k
M. Bier United States 24 758 0.7× 641 2.6× 18 0.1× 9 0.1× 216 2.3× 61 1.7k

Countries citing papers authored by Sunil Nath

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Nath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunil Nath. 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 Sunil Nath. The network helps show where Sunil Nath may publish in the future.

Co-authorship network of co-authors of Sunil Nath

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil Nath. A scholar is included among the top collaborators of Sunil Nath 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 Sunil Nath. Sunil Nath 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.
Nath, Sunil. (2025). An account of a century of ATP research. Biosystems. 256. 105527–105527. 1 indexed citations
2.
Nath, Sunil. (2025). Rethinking the Classical Chemiosmotic Theory. Biological Theory. 3 indexed citations
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Nath, Sunil. (2022). Electrophysiological Experiments Revalidate the Two-ion Theory of Energy Coupling and ATP Synthesis. Function. 3(2). zqac004–zqac004. 6 indexed citations
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Nath, Sunil. (2022). Network representation and analysis of energy coupling mechanisms in cellular metabolism by a graph-theoretical approach. Theory in Biosciences. 141(3). 249–260. 15 indexed citations
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Nath, Sunil. (2021). Energy landscapes and dynamics of ion translocation through membrane transporters: a meeting ground for physics, chemistry, and biology. Journal of Biological Physics. 47(4). 401–433. 21 indexed citations
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Singh, J. P., et al.. (2020). Time-Resolved Oxygen Exchange Measurements Offer Novel Mechanistic Insights into Enzyme-Catalyzed ATP Synthesis during Photophosphorylation. The Journal of Physical Chemistry B. 124(25). 5139–5148. 17 indexed citations
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Nath, Sunil. (2019). Coupling in ATP synthesis: Test of thermodynamic consistency and formulation in terms of the principle of least action. Chemical Physics Letters. 723. 118–122. 12 indexed citations
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Nath, Sunil. (2018). Optimality principle for the coupled chemical reactions of ATP synthesis and its molecular interpretation. Chemical Physics Letters. 699. 212–217. 27 indexed citations
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Jain, Siddhartha & Sunil Nath. (2000). Kinetic model of ATP synthase: pH dependence of the rate of ATP synthesis. FEBS Letters. 476(3). 113–117. 27 indexed citations
20.
Nath, Sunil & Siddhartha Jain. (2000). Kinetic Modeling of ATP Synthesis by ATP Synthase and Its Mechanistic Implications. Biochemical and Biophysical Research Communications. 272(3). 629–633. 31 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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