Reshmi Parameswaran

805 citations
28 papers · 537 · h-index 13

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Galectins and Cancer Biology
    • Immunotherapy and Immune Responses
    • CAR-T cell therapy research

Papers in

    • Immune Cell Function and Interaction 9
    • T-cell and B-cell Immunology 6
    • Immunotherapy and Immune Responses 3
    • Glycosylation and Glycoproteins Research 3
    • TGF-β signaling in diseases 3

Reshmi Parameswaran

25 papers receiving 532 citations

Peers

Reshmi Parameswaran
Comparison fields: 5 of 65
  • Immunology 224
  • Oncology 170
  • Hematology 53
  • Genetics 37
  • Molecular Biology 199
Replace Karen R. McLachlan with:
Karen R. McLachlan United States
Ganapathy Sriram United States
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Nicholas A. Zorko United States
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Citations per field
00.5×2.9×
Karen R. McLachlan · 1×
Citations per year

Countries citing papers authored by Reshmi Parameswaran

Since Specialization
Citations

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

Fields of papers citing papers by Reshmi Parameswaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Reshmi Parameswaran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Reshmi Parameswaran Line = papers co-authored together Reshmi Parameswaran links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201697
2 202263
3 201848
4 201047
5 201947
6 201334
7 201433
8 200923
9 200720
10 200319
11 201618
12 202215
13 200214
14 202112
15 201910
16 202510
17 20017
18 20096
19 20233
20 20043

About Reshmi Parameswaran

Reshmi Parameswaran is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Public Health, Environmental and Occupational Health, having authored 28 papers that have together received 537 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), CAR-T cell therapy research (7 papers), T-cell and B-cell Immunology (6 papers), Acute Lymphoblastic Leukemia research (5 papers), Glycosylation and Glycoproteins Research (3 papers), Immunotherapy and Immune Responses (3 papers), TGF-β signaling in diseases (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Immunology (224 citations), Oncology (170 citations), Hematology (53 citations), Genetics (37 citations) and Molecular Biology (199 citations). Reshmi Parameswaran has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Parameswaran Ramakrishnan, Abhishek Asthana, Keman Zhang, John Groffen, Nora Heisterkamp, Rose Beck, David N. Wald, Kalpana Gupta, Zhiqiang Xia and Dov Zipori. Their work appears in journals such as Nature Communications, Blood, Cancer Research, Frontiers in Immunology and Molecular Cancer Therapeutics.

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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