Rohini Muthuswami

763 total citations
42 papers, 505 citations indexed

About

Rohini Muthuswami is a scholar working on Molecular Biology, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Rohini Muthuswami has authored 42 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 11 papers in Epidemiology and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Rohini Muthuswami's work include Genomics and Chromatin Dynamics (11 papers), Chromatin Remodeling and Cancer (11 papers) and Research on Leishmaniasis Studies (8 papers). Rohini Muthuswami is often cited by papers focused on Genomics and Chromatin Dynamics (11 papers), Chromatin Remodeling and Cancer (11 papers) and Research on Leishmaniasis Studies (8 papers). Rohini Muthuswami collaborates with scholars based in India, United States and Japan. Rohini Muthuswami's co-authors include Joel W. Hockensmith, Rentala Madhubala, Anthony N. Imbalzano, Jeffrey A. Nickerson, Sneha Sudha Komath, Larry D. Mesner, Rakesh Radhakrishnan, Qiong Wu, Nimisha Mittal and Ruby Bansal and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Rohini Muthuswami

37 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rohini Muthuswami India 14 386 78 72 71 47 42 505
Dexin Qiu China 11 271 0.7× 18 0.2× 56 0.8× 51 0.7× 42 0.9× 21 446
Alhousseynou Sall Canada 10 297 0.8× 34 0.4× 29 0.4× 58 0.8× 109 2.3× 13 540
Joyphi C. P. Thijssen Netherlands 12 253 0.7× 30 0.4× 69 1.0× 96 1.4× 147 3.1× 13 446
Ramkumar Hariharan India 10 243 0.6× 19 0.2× 70 1.0× 42 0.6× 80 1.7× 16 410
Ilona Kaszak Poland 8 209 0.5× 27 0.3× 37 0.5× 38 0.5× 78 1.7× 12 439
Xianbo Huang China 15 328 0.8× 87 1.1× 21 0.3× 71 1.0× 106 2.3× 42 606
Manzar Hossain India 10 189 0.5× 30 0.4× 61 0.8× 22 0.3× 15 0.3× 11 290
Leanne Purins Australia 9 166 0.4× 45 0.6× 23 0.3× 21 0.3× 33 0.7× 12 525
Tuuli Välineva Finland 8 293 0.8× 184 2.4× 19 0.3× 124 1.7× 41 0.9× 8 545
Raquel Juárez Spain 8 724 1.9× 47 0.6× 19 0.3× 37 0.5× 107 2.3× 12 768

Countries citing papers authored by Rohini Muthuswami

Since Specialization
Citations

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

Fields of papers citing papers by Rohini Muthuswami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rohini Muthuswami

This figure shows the co-authorship network connecting the top 25 collaborators of Rohini Muthuswami. A scholar is included among the top collaborators of Rohini Muthuswami 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 Rohini Muthuswami. Rohini Muthuswami 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.
Vijayan, Ramachandran, et al.. (2025). Antifungal therapeutic potential of Candida albicans Fun30: screening and validation of novel inhibitors against Candida albicans. International Journal of Biological Macromolecules. 322(Pt 4). 147031–147031.
2.
3.
Ganguly, Nirmal Kumar, Harsh Pawar, Angamuthu Selvapandiyan, et al.. (2024). Leishmania parasite arginine deprivation response pathway influences the host macrophage lysosomal arginine sensing machinery. Medical Research Archives. 12(10).
4.
Mohapatra, Debendra K., et al.. (2023). In vitro screening of natural product-based compounds for leishmanicidal activity. Journal of Parasitic Diseases. 47(3). 644–658. 5 indexed citations
5.
Roy, Gargi, et al.. (2022). Chromatin-Remodeling Factor BRG1 Is a Negative Modulator of L. donovani in IFNγ Stimulated and Infected THP-1 Cells. Frontiers in Cellular and Infection Microbiology. 12. 860058–860058. 5 indexed citations
6.
Dutta, Anindita, et al.. (2022). CD Spectroscopy to Study DNA-Protein Interactions. Journal of Visualized Experiments. 2 indexed citations
7.
Radhakrishnan, Rakesh, et al.. (2022). On the Interaction Between SMARCAL1 and BRG1. Frontiers in Cell and Developmental Biology. 10. 870815–870815.
8.
Radhakrishnan, Rakesh, et al.. (2021). Altering mammalian transcription networking with ADAADi: An inhibitor of ATP-dependent chromatin remodeling. PLoS ONE. 16(5). e0251354–e0251354. 4 indexed citations
9.
Bansal, Ruby, et al.. (2019). A Plant like Cytochrome P450 Subfamily CYP710C1 Gene in Leishmania donovani Encodes Sterol C-22 Desaturase and its Over-expression Leads to Resistance to Amphotericin B. PLoS neglected tropical diseases. 13(4). e0007260–e0007260. 10 indexed citations
10.
Bansal, Ruby, et al.. (2019). Stigmasterol as a potential biomarker for amphotericin B resistance in Leishmania donovani. Journal of Antimicrobial Chemotherapy. 75(4). 942–950. 17 indexed citations
11.
Mittal, Nimisha, Rohini Muthuswami, & Rentala Madhubala. (2017). The mitochondrial SIR2 related protein 2 (SIR2RP2) impacts Leishmania donovani growth and infectivity. PLoS neglected tropical diseases. 11(5). e0005590–e0005590. 20 indexed citations
12.
Ahmad, Hafiz M., et al.. (2016). FosB regulates expression of miR-22 during PMA induced differentiation of K562 cells to megakaryocytes. Biochimie. 133. 1–6. 12 indexed citations
13.
Wu, Qiong, Hang Cui, Scott E. LeBlanc, et al.. (2016). Targeting the chromatin remodeling enzyme BRG1 increases the efficacy of chemotherapy drugs in breast cancer cells. Oncotarget. 7(19). 27158–27175. 43 indexed citations
14.
Muthuswami, Rohini, et al.. (2015). SMARCAL1 Negatively Regulates C-Myc Transcription By Altering The Conformation Of The Promoter Region. Scientific Reports. 5(1). 17910–17910. 16 indexed citations
15.
Gupta, Meghna, Mohit Mazumder, Karthik Dhatchinamoorthy, et al.. (2015). Ligand‐induced conformation changes drive ATP hydrolysis and function in SMARCAL1. FEBS Journal. 282(19). 3841–3859. 7 indexed citations
16.
Goswami, Shyamal K., et al.. (2012). Global Epigenetic Changes Induced by SWI2/SNF2 Inhibitors Characterize Neomycin-Resistant Mammalian Cells. PLoS ONE. 7(11). e49822–e49822. 22 indexed citations
17.
Ashraf, Mohammad Javad, et al.. (2010). N-Acetyl-d-glucosaminylphosphatidylinositol De-N-acetylase from Entamoeba histolytica. Journal of Biological Chemistry. 286(4). 2543–2549. 9 indexed citations
18.
Hockensmith, Joel W., et al.. (2009). Elucidating the mechanism of DNA-dependent ATP hydrolysis mediated by DNA-dependent ATPase A, a member of the SWI2/SNF2 protein family. Nucleic Acids Research. 37(10). 3332–3341. 13 indexed citations
19.
Sahni, Narinder Singh, et al.. (2008). Unique motifs identify PIG-A proteins from glycosyltransferases of the GT4 family. BMC Evolutionary Biology. 8(1). 168–168. 4 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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