Sheela Ramanathan

2.9k total citations · 1 hit paper
99 papers, 2.3k citations indexed

About

Sheela Ramanathan is a scholar working on Immunology, Oncology and Genetics. According to data from OpenAlex, Sheela Ramanathan has authored 99 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Immunology, 32 papers in Oncology and 22 papers in Genetics. Recurrent topics in Sheela Ramanathan's work include Immune Cell Function and Interaction (40 papers), T-cell and B-cell Immunology (30 papers) and Cytokine Signaling Pathways and Interactions (23 papers). Sheela Ramanathan is often cited by papers focused on Immune Cell Function and Interaction (40 papers), T-cell and B-cell Immunology (30 papers) and Cytokine Signaling Pathways and Interactions (23 papers). Sheela Ramanathan collaborates with scholars based in Canada, United States and India. Sheela Ramanathan's co-authors include Subburaj Ilangumaran, Philippe Poussier, Julien Gagnon, Robert Rottapel, Chantal LeBlanc, Diwakar Bobbala, Marian Mayhue, Alfredo Menéndez, Gerardo Ferbeyre and Caroline Saucier and has published in prestigious journals such as Blood, Molecular Cell and The Journal of Immunology.

In The Last Decade

Sheela Ramanathan

97 papers receiving 2.2k citations

Hit Papers

Singularities in Science, Technology and Society: Typolog... 2025 2026 2025 5 10 15
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Singularities in Science, Technology and Society: Typologies, Comparative Analyses, and Interpretive Frameworks
    2025 16 citations Sheela Ramanathan et al. profile →

Peers

Sheela Ramanathan
Ming-Hong Xie United States
Ana M. Gamero United States
Eleonora Franzè Italy
Tangsheng Yi United States
Angelamaria Rizzo Italy
Motomi Yamazaki Japan
Sören T. Eichhorst Germany
Lawrence J. Saubermann United States
Masaki Inoue Japan
Shosaku Narumi Japan
Ming-Hong Xie United States
Sheela Ramanathan
Citations per year, relative to Sheela Ramanathan Sheela Ramanathan (= 1×) peers Ming-Hong Xie

Countries citing papers authored by Sheela Ramanathan

Since Specialization
Citations

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

Fields of papers citing papers by Sheela Ramanathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheela Ramanathan

This figure shows the co-authorship network connecting the top 25 collaborators of Sheela Ramanathan. A scholar is included among the top collaborators of Sheela Ramanathan 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 Sheela Ramanathan. Sheela Ramanathan 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.
Ramanathan, Sheela, et al.. (2025). Singularities in Science, Technology and Society: Typologies, Comparative Analyses, and Interpretive Frameworks. 39–79. 16 indexed citations breakdown →
2.
Lucier, Jean‐François, Awais Ullah Ihsan, Dominique Lévesque, et al.. (2025). Essential Role of NLRC5 in Cancer Immune Surveillance and Cancer Immunoediting. Scandinavian Journal of Immunology. 102(2). e70047–e70047.
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Khan, Md Gulam Musawwir, Dominique Lévesque, Jean‐François Lucier, et al.. (2024). The Tumor Suppressor SOCS1 Diminishes Tolerance to Oxidative Stress in Hepatocellular Carcinoma. Cancers. 16(2). 292–292. 3 indexed citations
5.
Ghosh, Amit, Diwakar Bobbala, Marie‐Josée Boucher, et al.. (2023). IL-15 Prevents the Development of T-ALL from Aberrant Thymocytes with Impaired DNA Repair Functions and Increased NOTCH1 Activation. Cancers. 15(3). 671–671. 2 indexed citations
6.
Lévesque, Dominique, et al.. (2023). NLRC5-CIITA Fusion Protein as an Effective Inducer of MHC-I Expression and Antitumor Immunity. International Journal of Molecular Sciences. 24(8). 7206–7206. 6 indexed citations
7.
Khan, Md Gulam Musawwir, Nadia Boufaied, Mehdi Yeganeh, et al.. (2023). SOCS1 Deficiency Promotes Hepatocellular Carcinoma via SOCS3-Dependent CDKN1A Induction and NRF2 Activation. Cancers. 15(3). 905–905. 12 indexed citations
8.
Variya, Bhavesh C., et al.. (2022). An improved method for isolation and flow cytometric characterization of intrahepatic leukocytes from fatty and fibrotic liver tissues. The Anatomical Record. 306(5). 1011–1030. 5 indexed citations
9.
Brouillette, Éric, Céline Ster, Jean‐François Lucier, et al.. (2021). Relative virulence of Staphylococcus aureus bovine mastitis strains representing the main Canadian spa types and clonal complexes as determined using in vitro and in vivo mastitis models. Journal of Dairy Science. 104(11). 11904–11921. 8 indexed citations
10.
Ramanathan, Sheela, et al.. (2021). The MHC Class-I Transactivator NLRC5: Implications to Cancer Immunology and Potential Applications to Cancer Immunotherapy. International Journal of Molecular Sciences. 22(4). 1964–1964. 29 indexed citations
11.
Ihsan, Awais Ullah, et al.. (2020). ADE and hyperinflammation in SARS-CoV2 infection- comparison with dengue hemorrhagic fever and feline infectious peritonitis. Cytokine. 136. 155256–155256. 24 indexed citations
12.
Khan, Md Gulam Musawwir, Amit Ghosh, Bhavesh C. Variya, et al.. (2020). Prognostic significance of SOCS1 and SOCS3 tumor suppressors and oncogenic signaling pathway genes in hepatocellular carcinoma. BMC Cancer. 20(1). 774–774. 18 indexed citations
13.
Allard‐Chamard, Hugues, Hemant Kumar Mishra, Marian Mayhue, et al.. (2020). Interleukin-15 in autoimmunity. Cytokine. 136. 155258–155258. 45 indexed citations
14.
Khan, Md Gulam Musawwir, et al.. (2019). Hepatocyte growth control by SOCS1 and SOCS3. Cytokine. 121. 154733–154733. 31 indexed citations
15.
Rakotoarivelo, Volatiana, Bhavesh C. Variya, Subburaj Ilangumaran, Marie‐France Langlois, & Sheela Ramanathan. (2018). Inflammation in human adipose tissues–Shades of gray, rather than white and brown. Cytokine & Growth Factor Reviews. 44. 28–37. 13 indexed citations
16.
Bobbala, Diwakar, et al.. (2018). Essential role of suppressor of cytokine signaling 1 (SOCS1) in hepatocytes and macrophages in the regulation of liver fibrosis. Cytokine. 124. 154501–154501. 19 indexed citations
17.
Bobbala, Diwakar, Md Gulam Musawwir Khan, Sheela Ramanathan, et al.. (2017). Expression of SOCS1 and the downstream targets of its putative tumor suppressor functions in prostate cancer. BMC Cancer. 17(1). 157–157. 18 indexed citations
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Ilangumaran, Subburaj, et al.. (2003). Suppressor of cytokine signaling 1 attenuates IL-15 receptor signaling in CD8+ thymocytes. Blood. 102(12). 4115–4122. 40 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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