Arjun Saha

1.2k total citations
40 papers, 902 citations indexed

About

Arjun Saha is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Spectroscopy. According to data from OpenAlex, Arjun Saha has authored 40 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 6 papers in Atomic and Molecular Physics, and Optics and 5 papers in Spectroscopy. Recurrent topics in Arjun Saha's work include Protein Structure and Dynamics (6 papers), Advanced Chemical Physics Studies (6 papers) and Electrocatalysts for Energy Conversion (4 papers). Arjun Saha is often cited by papers focused on Protein Structure and Dynamics (6 papers), Advanced Chemical Physics Studies (6 papers) and Electrocatalysts for Energy Conversion (4 papers). Arjun Saha collaborates with scholars based in United States, India and China. Arjun Saha's co-authors include Krishnan Raghavachari, Anil B. Mukherjee, Zhongjian Zhang, Arieh Warshel, Goutam Chandra, Yi‐Ching Lee, Rupak K. Bhadra, Chinmoy Sarkar, Manisha Ray and Shiyong Peng and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Arjun Saha

38 papers receiving 890 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arjun Saha United States 17 345 226 174 90 89 40 902
Arianna Fornili United Kingdom 18 506 1.5× 154 0.7× 152 0.9× 45 0.5× 29 0.3× 42 803
Patrick Lagüe Canada 21 810 2.3× 150 0.7× 69 0.4× 148 1.6× 42 0.5× 59 1.2k
Yongfang Zhao China 18 1.2k 3.5× 255 1.1× 251 1.4× 128 1.4× 52 0.6× 51 2.0k
Scott Horowitz United States 23 1000 2.9× 61 0.3× 259 1.5× 146 1.6× 68 0.8× 43 1.6k
Åge A. Skjevik Norway 10 1.0k 3.0× 221 1.0× 112 0.6× 131 1.5× 49 0.6× 13 1.4k
Taras V. Pogorelov United States 19 1.0k 2.9× 283 1.3× 171 1.0× 89 1.0× 86 1.0× 47 1.4k
Shobhna Kapoor India 23 1.1k 3.1× 79 0.3× 279 1.6× 113 1.3× 133 1.5× 75 1.6k
Paul A. Sigala United States 19 732 2.1× 225 1.0× 269 1.5× 86 1.0× 39 0.4× 28 1.3k
Ànna Pavlova United States 20 756 2.2× 169 0.7× 188 1.1× 107 1.2× 44 0.5× 44 1.4k
Ewald Pauwels Belgium 20 240 0.7× 214 0.9× 212 1.2× 172 1.9× 49 0.6× 60 1.1k

Countries citing papers authored by Arjun Saha

Since Specialization
Citations

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

Fields of papers citing papers by Arjun Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arjun Saha

This figure shows the co-authorship network connecting the top 25 collaborators of Arjun Saha. A scholar is included among the top collaborators of Arjun Saha 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 Arjun Saha. Arjun Saha 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.
Saha, Arjun, et al.. (2025). Exploring the binding free energy landscape of intrinsically disordered protein–protein interactions: insights into the AF9–BCOR complex implicated in leukemia. Physical Chemistry Chemical Physics. 27(19). 10023–10035. 1 indexed citations
2.
Zhou, Jiao, Xiang Liu, Yan Xu, et al.. (2025). Computational and Experimental Study of the Conformational Variation of the Catalytic Residue His41 of the SARS-CoV-2 Main Protease. The Journal of Physical Chemistry B. 129(21). 5198–5206. 1 indexed citations
3.
4.
Sharma, Shilpa, et al.. (2025). MnM-W-MMGBSA: A Computational Strategy to Improve Relative Binding Free Energies of Protein–Protein Interaction Systems. The Journal of Physical Chemistry B. 129(49). 12685–12701.
5.
Arnold, Leggy A., et al.. (2024). Exploring structural features of sleep-enhancing peptides derived from casein hydrolysates by chemometrics and random forest methodology. Food Chemistry. 461. 140838–140838. 12 indexed citations
6.
McCarver, Stefan J., Luke Elizabeth Hanna, Aaron A. Thompson, et al.. (2024). Structure-Based Optimization of Selective and Brain Penetrant CK1δ Inhibitors for the Treatment of Circadian Disruptions. ACS Medicinal Chemistry Letters. 15(4). 486–492. 1 indexed citations
7.
8.
Jonnalagadda, Deepa, Yasuyuki Kihara, Aran Groves, et al.. (2023). FTY720 requires vitamin B12-TCN2-CD320 signaling in astrocytes to reduce disease in an animal model of multiple sclerosis. Cell Reports. 42(12). 113545–113545. 7 indexed citations
9.
Saha, Arjun & Arieh Warshel. (2021). Simulating the directional translocation of a substrate by the AAA+ motor in the 26S proteasome. Proceedings of the National Academy of Sciences. 118(23). 4 indexed citations
10.
Saha, Arjun, et al.. (2017). Bond Activation and Hydrogen Evolution from Water through Reactions with M3S4 (M = Mo, W) and W3S3 Anionic Clusters. The Journal of Physical Chemistry A. 121(8). 1760–1767. 7 indexed citations
11.
12.
Khaibullina, Alfia, Nicholas J. Kenyon, Martha Quezado, et al.. (2012). In a Model of Batten Disease, Palmitoyl Protein Thioesterase-1 Deficiency Is Associated with Brown Adipose Tissue and Thermoregulation Abnormalities. PLoS ONE. 7(11). e48733–e48733. 11 indexed citations
13.
Tserentsoodol, Nomingerel, et al.. (2012). Selective loss of RPGRIP1-dependent ciliary targeting of NPHP4, RPGR and SDCCAG8 underlies the degeneration of photoreceptor neurons. Cell Death and Disease. 3(7). e355–e355. 36 indexed citations
14.
Saha, Arjun, et al.. (2011). Photoswitching Magnetic Crossover in Organic Molecular Systems. The Journal of Physical Chemistry A. 115(8). 1371–1379. 25 indexed citations
15.
Zhang, Zhongjian, Arjun Saha, Chinmoy Sarkar, et al.. (2010). Omega-3 and omega-6 fatty acids suppress ER- and oxidative stress in cultured neurons and neuronal progenitor cells from mice lacking PPT1. Neuroscience Letters. 479(3). 292–296. 41 indexed citations
16.
Saha, Arjun, et al.. (2010). Lack of an Endogenous Anti-inflammatory Protein in Mice Enhances Colonization of B16F10 Melanoma Cells in the Lungs. Journal of Biological Chemistry. 285(14). 10822–10831. 58 indexed citations
17.
Wei, Hui, Zhongjian Zhang, Arjun Saha, et al.. (2010). Disruption of adaptive energy metabolism and elevated ribosomal p-S6K1 levels contribute to INCL pathogenesis: partial rescue by resveratrol. Human Molecular Genetics. 20(6). 1111–1121. 42 indexed citations
18.
Saha, Arjun, Sung‐Jo Kim, Zhongjian Zhang, et al.. (2008). RAGE signaling contributes to neuroinflammation in infantile neuronal ceroid lipofuscinosis. FEBS Letters. 582(27). 3823–3831. 25 indexed citations
19.
Saha, Arjun, et al.. (2006). PCR-based identification ofVibrio choleraeand the closely related speciesVibrio mimicususing the large chromosomalorisequence ofVibrio cholerae. FEMS Microbiology Letters. 257(1). 84–91. 10 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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