Sitharam Ramaswami

559 total citations
17 papers, 292 citations indexed

About

Sitharam Ramaswami is a scholar working on Cancer Research, Molecular Biology and Immunology. According to data from OpenAlex, Sitharam Ramaswami has authored 17 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cancer Research, 9 papers in Molecular Biology and 7 papers in Immunology. Recurrent topics in Sitharam Ramaswami's work include NF-κB Signaling Pathways (8 papers), Immune Response and Inflammation (4 papers) and interferon and immune responses (2 papers). Sitharam Ramaswami is often cited by papers focused on NF-κB Signaling Pathways (8 papers), Immune Response and Inflammation (4 papers) and interferon and immune responses (2 papers). Sitharam Ramaswami collaborates with scholars based in United States, Taiwan and Norway. Sitharam Ramaswami's co-authors include Ivana Vancurova, Ashish Juvekar, Chandra C. Ghosh, Subrata Manna, Mahmut Celiker, Dennis Davidson, Luciano Galdieri, Takayuki Abe, Sagi Shapira and Raúl Rabadán and has published in prestigious journals such as Nature Communications, Immunity and The Journal of Immunology.

In The Last Decade

Sitharam Ramaswami

15 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sitharam Ramaswami United States 8 159 103 76 60 34 17 292
Anne-Sophie Gallouët France 9 145 0.9× 135 1.3× 41 0.5× 80 1.3× 30 0.9× 11 309
Ratakorn Srisuttee Thailand 12 162 1.0× 44 0.4× 56 0.7× 88 1.5× 20 0.6× 22 337
Lidia Cosentino Canada 12 235 1.5× 95 0.9× 149 2.0× 63 1.1× 61 1.8× 18 508
Pushpa Gnanaraj India 10 65 0.4× 150 1.5× 60 0.8× 26 0.4× 45 1.3× 19 326
Thinh Chau United States 7 155 1.0× 75 0.7× 26 0.3× 92 1.5× 11 0.3× 9 317
Geom-Seog Seo South Korea 10 100 0.6× 99 1.0× 61 0.8× 56 0.9× 15 0.4× 25 363
Iain Ewing United Kingdom 5 95 0.6× 35 0.3× 60 0.8× 99 1.6× 63 1.9× 11 289
Raimund Sprenger Germany 8 245 1.5× 63 0.6× 40 0.5× 107 1.8× 22 0.6× 10 427
Benfan Wang Canada 8 185 1.2× 115 1.1× 80 1.1× 98 1.6× 13 0.4× 12 325
Floor de Kort Netherlands 6 217 1.4× 112 1.1× 48 0.6× 103 1.7× 23 0.7× 7 467

Countries citing papers authored by Sitharam Ramaswami

Since Specialization
Citations

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

Fields of papers citing papers by Sitharam Ramaswami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sitharam Ramaswami

This figure shows the co-authorship network connecting the top 25 collaborators of Sitharam Ramaswami. A scholar is included among the top collaborators of Sitharam Ramaswami 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 Sitharam Ramaswami. Sitharam Ramaswami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Coudray, Nicolas, Anna Yeaton, Sitharam Ramaswami, et al.. (2025). Contrastive learning uncovers cellular interactions and morphologies in the tumor microenvironment of lung adenocarcinoma linked to immunotherapy response. Scientific Reports. 15(1). 34373–34373.
2.
Ramaswami, Sitharam, Nedim Durmuş, Yu Chen, et al.. (2025). Epigenetic aging acceleration among World Trade Center-exposed community members. Scientific Reports. 15(1). 33942–33942.
3.
Sakellaropoulos, Theodore, Catherine Do, Guimei Jiang, et al.. (2024). MethNet: a robust approach to identify regulatory hubs and their distal targets from cancer data. Nature Communications. 15(1). 6027–6027. 1 indexed citations
4.
Tuminello, Stephanie, Sitharam Ramaswami, Nedim Durmuş, et al.. (2024). Genome-wide DNA methylation profiles and breast cancer among World Trade Center survivors. Environmental Epidemiology. 8(3). e313–e313. 1 indexed citations
5.
Chang, Stephanie H., Hua Zhou, André L. Moreira, et al.. (2023). Digital spatial profiling to predict recurrence in grade 3 stage I lung adenocarcinoma. Journal of Thoracic and Cardiovascular Surgery. 168(3). 648–657.e8. 3 indexed citations
6.
Dellicour, Simon, Samuel L. Hong, Bram Vrancken, et al.. (2021). Dispersal dynamics of SARS-CoV-2 lineages during the first epidemic wave in New York City. PLoS Pathogens. 17(5). e1009571–e1009571. 18 indexed citations
7.
Margolis, Benjamin, Fanny Dao, Selim Mısırlıoğlu, et al.. (2021). CCNE1 amplification among metastatic sites in patients with gynecologic high-grade serous carcinoma. Gynecologic Oncology Reports. 37. 100850–100850. 3 indexed citations
8.
Steranka, Jared P., Zuojian Tang, Mark Grivainis, et al.. (2019). Transposon insertion profiling by sequencing (TIPseq) for mapping LINE-1 insertions in the human genome. Mobile DNA. 10(1). 8–8. 20 indexed citations
9.
Abe, Takayuki, Albert Lee, Sitharam Ramaswami, et al.. (2017). Germ-Cell-Specific Inflammasome Component NLRP14 Negatively Regulates Cytosolic Nucleic Acid Sensing to Promote Fertilization. Immunity. 46(4). 621–634. 37 indexed citations
10.
Ramaswami, Sitharam & Matthew S. Hayden. (2015). Electrophoretic Mobility Shift Assay Analysis of NF-κB DNA Binding. Methods in molecular biology. 1280. 3–13. 6 indexed citations
11.
Manna, Subrata, et al.. (2013). Proteasome Inhibition by Bortezomib Increases IL-8 Expression in Androgen-Independent Prostate Cancer Cells: The Role of IKKα. The Journal of Immunology. 191(5). 2837–2846. 29 indexed citations
12.
Juvekar, Ashish, et al.. (2011). Electrophoretic Mobility Shift Assay Analysis of NFκB Transcriptional Regulation by Nuclear IκBα. Methods in molecular biology. 809. 49–62. 6 indexed citations
13.
Ramaswami, Sitharam, Subrata Manna, Ashish Juvekar, et al.. (2011). Chromatin Immunoprecipitation Analysis of NFκB Transcriptional Regulation by Nuclear IκBα in Human Macrophages. Methods in molecular biology. 809. 121–134. 10 indexed citations
14.
Juvekar, Ashish, Subrata Manna, Sitharam Ramaswami, et al.. (2011). Bortezomib Induces Nuclear Translocation of IκBα Resulting in Gene-Specific Suppression of NF-κB–Dependent Transcription and Induction of Apoptosis in CTCL. Molecular Cancer Research. 9(2). 183–194. 84 indexed citations
15.
Ghosh, Chandra C., Sitharam Ramaswami, Ashish Juvekar, et al.. (2010). Gene-Specific Repression of Proinflammatory Cytokines in Stimulated Human Macrophages by Nuclear IκBα. The Journal of Immunology. 185(6). 3685–3693. 50 indexed citations
16.
Ramaswami, Sitharam, et al.. (2009). Role of Acetylation in the NFkB Dependent Transcription of Proinflammatory Cytokines in Stimulated Human Macrophages. The FASEB Journal. 23(S1). 1 indexed citations
17.
Juvekar, Ashish, et al.. (2008). Proteasome inhibitors induce apoptosis of prostate cancer cells by inducing nuclear translocation of IκBα. Archives of Biochemistry and Biophysics. 475(2). 156–163. 23 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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