Rucha Chandwaskar

1.1k total citations · 1 hit paper
8 papers, 914 citations indexed

About

Rucha Chandwaskar is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Rucha Chandwaskar has authored 8 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 2 papers in Infectious Diseases and 2 papers in Molecular Biology. Recurrent topics in Rucha Chandwaskar's work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and Galectins and Cancer Biology (2 papers). Rucha Chandwaskar is often cited by papers focused on T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and Galectins and Cancer Biology (2 papers). Rucha Chandwaskar collaborates with scholars based in United States, India and Netherlands. Rucha Chandwaskar's co-authors include Ana C. Anderson, Vijay K. Kuchroo, József Kármán, Mitsuomi Hirashima, William D. Hastings, Lisa Bregoli, Charles Lei, Ee Wern Su, David E. Anderson and Nasim Kassam and has published in prestigious journals such as Science, The Journal of Immunology and Antiviral Research.

In The Last Decade

Rucha Chandwaskar

8 papers receiving 903 citations

Hit Papers

Promotion of Tissue Inflammation by the Immune Receptor T... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rucha Chandwaskar United States 7 790 327 262 98 43 8 914
Rachelle G. Veenstra United States 7 1.1k 1.4× 599 1.8× 182 0.7× 90 0.9× 41 1.0× 7 1.3k
Ruihan Tang China 7 399 0.5× 232 0.7× 137 0.5× 47 0.5× 44 1.0× 20 585
Alexandra B. Pucsek United States 4 557 0.7× 365 1.1× 194 0.7× 36 0.4× 24 0.6× 4 720
Ken-mei Sakata Japan 8 586 0.7× 122 0.4× 278 1.1× 28 0.3× 59 1.4× 13 702
Paul G. Pavicic United States 12 436 0.6× 337 1.0× 166 0.6× 55 0.6× 53 1.2× 37 762
Noriyasu Seki Japan 13 407 0.5× 163 0.5× 206 0.8× 49 0.5× 38 0.9× 26 693
Erika Falisi Italy 9 1.2k 1.5× 560 1.7× 217 0.8× 57 0.6× 31 0.7× 10 1.3k
Heba Nowyhed United States 12 670 0.8× 274 0.8× 179 0.7× 25 0.3× 59 1.4× 17 867
Mohamed ElTanbouly United States 11 477 0.6× 296 0.9× 121 0.5× 70 0.7× 20 0.5× 15 675
Arianna Capucetti Italy 4 441 0.6× 333 1.0× 193 0.7× 26 0.3× 38 0.9× 8 736

Countries citing papers authored by Rucha Chandwaskar

Since Specialization
Citations

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

Fields of papers citing papers by Rucha Chandwaskar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rucha Chandwaskar

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

All Works

8 of 8 papers shown
1.
Singh, Savita, Priyanka Sharma, Rucha Chandwaskar, et al.. (2024). A quest for universal anti-SARS-CoV-2 T cell assay: systematic review, meta-analysis, and experimental validation. npj Vaccines. 9(1). 3–3. 8 indexed citations
2.
Chandwaskar, Rucha, Saurabh Gupta, Aishwarya Sharma, et al.. (2024). Dysregulation of T cell response in the pathogenesis of inflammatory bowel disease. Scandinavian Journal of Immunology. 100(6). e13412–e13412. 5 indexed citations
3.
Sadhu, Srikanth, Ritika Khatri, Anna Z. Mykytyn, et al.. (2023). Fangchinoline inhibits SARS-CoV-2 and MERS-CoV entry. Antiviral Research. 220. 105743–105743. 6 indexed citations
4.
Chandwaskar, Rucha & Amit Awasthi. (2019). Emerging Roles of Th9 Cells as an Anti-tumor Helper T Cells. International Reviews of Immunology. 38(5). 204–211. 13 indexed citations
5.
Anderson, Ana C., Rucha Chandwaskar, David H. Lee, et al.. (2012). A Transgenic Model of Central Nervous System Autoimmunity Mediated by CD4+ and CD8+ T and B Cells. The Journal of Immunology. 188(5). 2084–2092. 54 indexed citations
6.
Dardalhon, Valérie, Ana C. Anderson, József Kármán, et al.. (2010). Tim-3/Galectin-9 Pathway: Regulation of Th1 Immunity through Promotion of CD11b+Ly-6G+ Myeloid Cells. The Journal of Immunology. 185(3). 1383–1392. 231 indexed citations
7.
Anderson, Ana C., Rucha Chandwaskar, David H. Lee, & Vijay K. Kuchroo. (2008). Cutting Edge: The Idd3 Genetic Interval Determines Regulatory T Cell Function through CD11b+CD11c− APC. The Journal of Immunology. 181(11). 7449–7452. 17 indexed citations
8.
Anderson, Ana C., David E. Anderson, Lisa Bregoli, et al.. (2007). Promotion of Tissue Inflammation by the Immune Receptor Tim-3 Expressed on Innate Immune Cells. Science. 318(5853). 1141–1143. 580 indexed citations breakdown →

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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