Swati Choksi

6.6k citations
42 papers · 5.1k indexed · 3 hit papers · h-index 23
  • Immunology top 1%
    • Immune Response and Inflammation 10
    • Phagocytosis and Immune Regulation 6
    • Immunotherapy and Immune Responses 6
    • interferon and immune responses 5
    • Immune cells in cancer 5
    • T-cell and B-cell Immunology 5
    • NF-κB Signaling Pathways 8
    • Cell death mechanisms and regulation 17
  • Oncology top 5%

Swati Choksi

40 papers receiving 5.1k citations

Hit Papers

Necroptosis and tumor progression29420122026201620212505007501000

Peers

Swati Choksi
Comparison fields: 5 of 127
  • Immunology 2.0k
  • Cancer Research 953
  • Molecular Biology 3.5k
  • Oncology 682
  • Epidemiology 804
Replace Mingui Fu with:
Mingui Fu United States
Adrian T. Ting United States
Sudan He China
Steven J. Bensinger United States
Heng Lin Taiwan
Vera Goossens Belgium
Dimitris L. Kontoyiannis Greece
Nozomi Takahashi Belgium
Dhananjaya V. Kalvakolanu United States
Douglas K. Miller United States
Swati Choksi relative to Mingui Fu United States Mingui Fu's profile →
Citations per field
00.5×1.5×
Mingui Fu · 1×
Citations per year

Countries citing papers authored by Swati Choksi

Since Specialization
Citations

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

Fields of papers citing papers by Swati Choksi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Swati Choksi, 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 Swati Choksi Line = papers co-authored together Swati Choksi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Necroptosis and tumor progressionbreakdown →
2021294
2 2021120
3 202013
4 201917
5 20195
6 201736
7 2016152
8 20141
9
Plasma membrane translocation of trimerized MLKL protein is required for TNF-induced necroptosisbreakdown →
20131044
10 201155
11 2010281
12 2007429
13 200619
14 2004354
15
In vitro study of interaction between vecuronium and roxatidine acetate at neuromuscular junction
20022
16 200213
17 19985
18 199813
19 199757
20 199430

About Swati Choksi

Swati Choksi is a scholar working on Immunology, Cancer Research and Molecular Biology, having authored 42 papers that have together received 5.1k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (17 papers), Immune Response and Inflammation (10 papers), NF-κB Signaling Pathways (8 papers), Phagocytosis and Immune Regulation (6 papers), Immunotherapy and Immune Responses (6 papers), interferon and immune responses (5 papers), Immune cells in cancer (5 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Immunology (2.0k citations), Cancer Research (953 citations) and Molecular Biology (3.5k citations). Swati Choksi has collaborated with scholars based in United States, China and Thailand. Frequent co-authors include Zheng-gang Liu, Siriporn Jitkaew, You‐Sun Kim, Zhenyu Cai, Michael K. Morgan, Jie Zhao, Hsueh‐Cheng Chiang, Zheng Gang Liu, Yvona Ward and Jie Liu.

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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