Bhaskar Saha

7.9k total citations
222 papers, 6.0k citations indexed

About

Bhaskar Saha is a scholar working on Public Health, Environmental and Occupational Health, Immunology and Epidemiology. According to data from OpenAlex, Bhaskar Saha has authored 222 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Public Health, Environmental and Occupational Health, 89 papers in Immunology and 60 papers in Epidemiology. Recurrent topics in Bhaskar Saha's work include Research on Leishmaniasis Studies (93 papers), Trypanosoma species research and implications (48 papers) and Immune Cell Function and Interaction (31 papers). Bhaskar Saha is often cited by papers focused on Research on Leishmaniasis Studies (93 papers), Trypanosoma species research and implications (48 papers) and Immune Cell Function and Interaction (31 papers). Bhaskar Saha collaborates with scholars based in India, United States and Iran. Bhaskar Saha's co-authors include Gopal Murugaiyan, Prashant Chauhan, Ramkumar Mathur, Amit Awasthi, Sunil Martin, Maryam Nemati, Abdollah Jafarzadeh, Sara Jafarzadeh, Gyan C. Mishra and Ramanamurthy Boppana and has published in prestigious journals such as New England Journal of Medicine, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Bhaskar Saha

215 papers receiving 5.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bhaskar Saha India 40 2.1k 2.0k 1.7k 1.3k 783 222 6.0k
Monique F. Stins United States 54 1.3k 0.7× 1.8k 0.9× 1.2k 0.7× 2.3k 1.8× 1.0k 1.3× 89 8.3k
Anirban Basu India 49 2.2k 1.1× 1.7k 0.8× 728 0.4× 2.2k 1.7× 1.7k 2.2× 186 7.4k
Chiou‐Feng Lin Taiwan 47 2.3k 1.1× 1.1k 0.6× 794 0.5× 2.1k 1.7× 2.1k 2.6× 186 6.3k
Thomas E. Lane United States 54 767 0.4× 4.5k 2.2× 1.8k 1.1× 2.0k 1.6× 1.9k 2.4× 168 10.6k
Peter Ghazal United Kingdom 50 453 0.2× 2.7k 1.4× 3.7k 2.2× 4.1k 3.2× 633 0.8× 226 9.4k
Geneviève Milon France 50 3.2k 1.6× 2.8k 1.4× 2.2k 1.3× 1.4k 1.1× 583 0.7× 144 7.6k
Holly Cherwinski United States 29 719 0.3× 6.4k 3.1× 1.3k 0.8× 2.5k 2.0× 572 0.7× 36 11.1k
Jennifer Wang United States 42 423 0.2× 2.1k 1.1× 1.7k 1.0× 1.9k 1.5× 1.0k 1.3× 169 7.3k
Yee-Shin Lin Taiwan 53 4.1k 2.0× 1.4k 0.7× 1.2k 0.7× 2.0k 1.5× 3.4k 4.3× 168 7.9k
Ulrich Kalinke Germany 58 883 0.4× 8.2k 4.1× 2.3k 1.4× 3.8k 3.0× 2.1k 2.6× 241 14.1k

Countries citing papers authored by Bhaskar Saha

Since Specialization
Citations

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

Fields of papers citing papers by Bhaskar Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bhaskar Saha

This figure shows the co-authorship network connecting the top 25 collaborators of Bhaskar Saha. A scholar is included among the top collaborators of Bhaskar 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 Bhaskar Saha. Bhaskar 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.
Nayak, Debadatta, et al.. (2025). Manipulation of macrophage signaling by Leishmania virulence factors. Virulence. 16(1). 2549802–2549802.
2.
Roy, Kamalika, Avishek Bhuniya, Sarbari Ghosh, et al.. (2024). High monocytic MDSC signature predicts multi-drug resistance and cancer relapse in non-Hodgkin lymphoma patients treated with R-CHOP. Frontiers in Immunology. 14. 1303959–1303959. 10 indexed citations
3.
Krueger, James G., Sandra Garcet, Sanjay Kumar, et al.. (2024). 265 Modulation of disease-central cytokine pathways with TAK-279, a highly selective oral tyrosine kinase 2 (TYK2) inhibitor, defines clinical response in patients with psoriasis. Journal of Investigative Dermatology. 144(8). S46–S46. 1 indexed citations
4.
Nemati, Maryam, et al.. (2024). Generation of immune cells from induced pluripotent stem cells (iPSCs): Their potential for adoptive cell therapy. Human Immunology. 85(5). 110836–110836.
5.
Das, Shibali, Surya Prakash Pandey, Raki Sudan, et al.. (2023). SHIP1 inhibition via 3-alpha-amino-cholestane enhances protection against Leishmania infection. Cytokine. 171. 156373–156373. 4 indexed citations
6.
Srivastava, Ankita, Arathi Nair, Surya Prakash Pandey, et al.. (2023). Toll-like receptor 2 selectively modulates Ras isoforms expression in Leishmania major infection. Cytokine. 169. 156301–156301. 2 indexed citations
7.
Saha, Bhaskar, et al.. (2023). Decoding the contextual duality of CD40 functions. Human Immunology. 84(11). 590–599. 1 indexed citations
8.
Nair, Arathi & Bhaskar Saha. (2023). Regulation of Ras-GTPase Signaling and Localization by Post-Translational Modifications. MDPI (MDPI AG). 1(2). 97–116. 4 indexed citations
9.
Nath, Priyatosh, et al.. (2023). Olive leaves extract alleviates inflammation and modifies the intrinsic apoptotic signal in the leukemic bone marrow. Frontiers in Immunology. 13. 1054186–1054186.
10.
11.
Zhao, Ling, et al.. (2023). Interleukin-7 potentiates MAPK10-elicited host-protective vaccine against Leishmania donovani. Cytokine. 174. 156475–156475. 4 indexed citations
12.
Patidar, Ashok, et al.. (2023). TLR2, TLR3, TLR4, TLR9 and TLR11 expression on effector CD4+ T-cell subsets in Leishmania donovani infection. Experimental Parasitology. 255. 108645–108645. 5 indexed citations
13.
Mesquita, Inês, Bhaskar Saha, Fernanda Rey-Stolle, et al.. (2023). Leishmania donovani Induces Multiple Dynamic Responses in the Metabolome Associated with Amastigote Differentiation and Maturation Inside the Human Macrophage. Journal of Proteome Research. 22(7). 2256–2270.
14.
Jafarzadeh, Abdollah, Arathi Nair, Sara Jafarzadeh, et al.. (2021). Immunological role of keratinocytes in leishmaniasis. Parasite Immunology. 43(9). e12870–e12870. 9 indexed citations
15.
Saha, Bhaskar, et al.. (2021). CD40L protects against mouse hepatitis virus-induced neuroinflammatory demyelination. PLoS Pathogens. 17(12). e1010059–e1010059. 7 indexed citations
16.
Patidar, Ashok, et al.. (2019). LmjMAPK10 offers protection against Leishmania donovani infection. Parasite Immunology. 42(2). e12687–e12687. 4 indexed citations
17.
18.
Chauhan, Prashant, Deepa Shukla, Debprasad Chattopadhyay, & Bhaskar Saha. (2017). Redundant and regulatory roles for Toll-like receptors inLeishmaniainfection. Clinical & Experimental Immunology. 190(2). 167–186. 36 indexed citations
19.
Naveed, Abdul Khaliq, Jiaming Li, Bhaskar Saha, Abhinav Saxena, & George Vachtsevanos. (2012). A Reasoning Architecture for Expert Troubleshooting of Complex Processes. Annual Conference of the PHM Society. 4(1). 2 indexed citations
20.
Das, Gobardhan, H. Vohra, Bhaskar Saha, Javed N. Agrewala, & G. C. Mishra. (1999). Apoptosis of Th1-like cells in experimental tuberculosis (TB). 67. 501–502. 2 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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