Swati Choksi

6.6k citations
42 papers · 5.1k indexed · 3 hit papers · h-index 23
Topics
Cell death mechanisms and regulation (17 papers)Immune Response and Inflammation (10 papers)NF-κB Signaling Pathways (8 papers)

In The Last Decade

Swati Choksi

40 papers receiving 5.1k citations

Hit Papers

Plasma membrane translocation of trimerized MLKL protein ...20122026201620212013201220212505007501000

Peers

Swati Choksi
Comparison fields: 5 of 127
  • Molecular Biology 3.5k
  • Immunology 2.0k
  • Cancer Research 953
  • Epidemiology 804
  • Oncology 682
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 of co-authors of Swati Choksi

This figure shows the co-authorship network connecting the top 25 collaborators of Swati Choksi. A scholar is included among the top collaborators of Swati Choksi 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 Swati Choksi. Swati Choksi 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
#WorkIndexed citations
1
Necroptosis and tumor progressionbreakdown →
294
2 120
3 13
4 17
5 5
6 36
7 152
8 1
9
Plasma membrane translocation of trimerized MLKL protein is required for TNF-induced necroptosisbreakdown →
1044
10 55
11 281
12 429
13 19
14 354
15
In vitro study of interaction between vecuronium and roxatidine acetate at neuromuscular junction
2
16 13
17 5
18 13
19 57
20 30

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) and NF-κB Signaling Pathways (8 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

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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