Jyotirmoy Das

1.8k total citations
95 papers, 1.4k citations indexed

About

Jyotirmoy Das is a scholar working on Molecular Biology, Endocrinology and Ecology. According to data from OpenAlex, Jyotirmoy Das has authored 95 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 32 papers in Endocrinology and 25 papers in Ecology. Recurrent topics in Jyotirmoy Das's work include Vibrio bacteria research studies (31 papers), Bacteriophages and microbial interactions (24 papers) and Microbial infections and disease research (15 papers). Jyotirmoy Das is often cited by papers focused on Vibrio bacteria research studies (31 papers), Bacteriophages and microbial interactions (24 papers) and Microbial infections and disease research (15 papers). Jyotirmoy Das collaborates with scholars based in India, Sweden and United States. Jyotirmoy Das's co-authors include Jack Maniloff, Chitra Dutta, Rukhsana Chowdhury, Gautam K. Sahu, К. Ray Chaudhuri, Archana Pan, Sabyasachi Chakrabarti, Keya Sen, Soumalee Basu and Rupak K. Bhadra and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Chemical Physics.

In The Last Decade

Jyotirmoy Das

91 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jyotirmoy Das India 21 574 444 318 305 195 95 1.4k
Jeremy A. Yethon Canada 15 688 1.2× 318 0.7× 370 1.2× 192 0.6× 350 1.8× 18 1.5k
Sheila MacIntyre United Kingdom 26 819 1.4× 546 1.2× 312 1.0× 324 1.1× 642 3.3× 45 1.5k
David W. Niesel United States 28 457 0.8× 402 0.9× 665 2.1× 112 0.4× 331 1.7× 59 1.9k
Michelle L. Kirtley United States 22 638 1.1× 301 0.7× 363 1.1× 187 0.6× 466 2.4× 34 1.5k
Amit Meir United States 13 466 0.8× 359 0.8× 189 0.6× 173 0.6× 256 1.3× 21 1.3k
Ian J. Glomski United States 19 737 1.3× 193 0.4× 284 0.9× 152 0.5× 256 1.3× 27 1.4k
M.C. Prévost France 13 1.1k 2.0× 330 0.7× 383 1.2× 65 0.2× 273 1.4× 20 2.2k
Victoria Auerbuch United States 19 503 0.9× 316 0.7× 577 1.8× 93 0.3× 331 1.7× 32 1.7k
Joel A. Bozue United States 23 1.0k 1.8× 247 0.6× 161 0.5× 328 1.1× 509 2.6× 61 1.6k
Roman G. Gerlach Germany 23 742 1.3× 600 1.4× 327 1.0× 415 1.4× 485 2.5× 47 1.9k

Countries citing papers authored by Jyotirmoy Das

Since Specialization
Citations

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

Fields of papers citing papers by Jyotirmoy Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jyotirmoy Das

This figure shows the co-authorship network connecting the top 25 collaborators of Jyotirmoy Das. A scholar is included among the top collaborators of Jyotirmoy Das 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 Jyotirmoy Das. Jyotirmoy Das 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
2.
Verma, Deepti, et al.. (2023). Differential DNA Methylation of MicroRNA-Encoding Genes in Psoriatic Epidermis Highlights the Wnt Pathway. Journal of Investigative Dermatology. 143(8). 1594–1597.e14. 2 indexed citations
3.
Das, Jyotirmoy, et al.. (2023). methylR: a graphical interface for comprehensive DNA methylation array data analysis. Bioinformatics. 39(4). 2 indexed citations
4.
Das, Jyotirmoy, et al.. (2023). Selected β-Glucans Act as Immune-Training Agents by Improving Anti-Mycobacterial Activity in Human Macrophages: A Pilot Study. Journal of Innate Immunity. 15(1). 751–764. 9 indexed citations
5.
Sayyab, Shumaila, Eirini Apostolou, Muhammad Rizwan, et al.. (2022). Epigenetic rewiring of pathways related to odour perception in immune cells exposed to SARS-CoV-2in vivoandin vitro. Epigenetics. 17(13). 1875–1891. 7 indexed citations
6.
Andersson, Henrik, et al.. (2022). The Olfactomedin-4-Defined Human Neutrophil Subsets Differ in Proteomic Profile in Healthy Individuals and Patients with Septic Shock. Journal of Innate Immunity. 15(1). 351–364. 3 indexed citations
7.
Sayyab, Shumaila, et al.. (2022). The spectrum of tuberculosis described as differential DNA methylation patterns in alveolar macrophages and alveolar T cells. Clinical Epigenetics. 14(1). 175–175. 9 indexed citations
8.
Zhu, Geyunjian Harry, Mohammad Azharuddin, Rakibul Islam, et al.. (2021). Innate Immune Invisible Ultrasmall Gold Nanoparticles—Framework for Synthesis and Evaluation. ACS Applied Materials & Interfaces. 13(20). 23410–23422. 15 indexed citations
9.
Das, Jyotirmoy, et al.. (2009). Management of A Case of Endobronchial Blood Clot in the Post Operative Period. SHILAP Revista de lepidopterología. 1 indexed citations
10.
Majumder, Rinku, et al.. (1996). Physical map of the genome of Vibrio cholerae 569B and localization of genetic markers. Journal of Bacteriology. 178(4). 1105–1112. 23 indexed citations
11.
Chakrabarti, Sabyasachi, К. Ray Chaudhuri, Keya Sen, & Jyotirmoy Das. (1996). Porins of Vibrio cholerae: purification and characterization of OmpU. Journal of Bacteriology. 178(2). 524–530. 97 indexed citations
12.
Bhadra, Rupak K., et al.. (1994). Genome size and restriction fragment length polymorphism analysis ofVibrio choleraestrains belonging to different serovars and biotypes. FEMS Microbiology Letters. 115(2-3). 329–334. 22 indexed citations
13.
Poddar, Saibal K., et al.. (1985). Heterogeneous Progeny Viruses Are Produced by a Budding Enveloped Phage. Intervirology. 23(4). 208–221. 13 indexed citations
14.
Das, Goutam & Jyotirmoy Das. (1983). Radiation-sensitive mutant of hypertoxinogenic strain 569B of Vibrio cholerae. Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis. 109(1). 21–30. 10 indexed citations
15.
Maniloff, Jack, et al.. (1982). Mycoplasma Viruses. Intervirology. 18(4). 177–188. 12 indexed citations
16.
Maniloff, Jack, Jyotirmoy Das, & Jan A. Nowak. (1978). Single--stranded DNA mycoplasmaviruses. Cold Spring Harbor Monograph Archive. 8. 177–184. 2 indexed citations
17.
Nowak, Jan A., Jack Maniloff, & Jyotirmoy Das. (1978). Electron microscopy of single-stranded mycoplasmavirus DNA. FEMS Microbiology Letters. 4(2). 59–61. 3 indexed citations
18.
Maniloff, Jack, Jyotirmoy Das, & J. Christensen. (1977). Viruses of Mycoplasmas and Spiroplasmas. Advances in virus research. 21. 343–380. 41 indexed citations
19.
Das, Jyotirmoy & Jack Maniloff. (1976). Replication of mycoplasmavirus MVL51: Attachment of MVL51 parental DNA to host cell membrane. Proceedings of the National Academy of Sciences. 73(5). 1489–1493. 13 indexed citations
20.
Das, Jyotirmoy, et al.. (1972). Dark and light repair in ultraviolet-irradiated Acholeplasma laidlawii. Biochimica et Biophysica Acta (BBA) - Nucleic Acids and Protein Synthesis. 259(2). 189–197. 21 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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