Sivakumar Prasanth Kumar

57 papers receiving 711 citations

Sivakumar Prasanth Kumar's Hit Papers

The NLR family of innate immune and cell death sensors 2024 · 98 citations
980+1Years since publication255075

Peers

Sivakumar Prasanth Kumar
Comparison fields: 5 of 91
  • Computational Theory and Mathematics 263
  • Pharmacology 52
  • Organic Chemistry 139
  • Molecular Biology 303
  • Infectious Diseases 76
Replace Clement Agoni with:
Clement Agoni South Africa
Thales Kronenberger Germany
Kiran Bharat Lokhande India
Rajendra Bhadane Finland
Conrad V. Simoben Germany
Radoslav Krivák Czechia
Foysal Ahammad Saudi Arabia
Khattab Al-Khafaji Türkiye
Thirumurthy Madhavan India
Gabriela Bitencourt‐Ferreira Brazil
Sivakumar Prasanth Kumar relative to Clement Agoni South Africa Clement Agoni's profile →
Citations per field
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Clement Agoni · 1×
Citations per year

Countries citing papers authored by Sivakumar Prasanth Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sivakumar Prasanth Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sivakumar Prasanth Kumar. 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 Sivakumar Prasanth Kumar. The network helps show where Sivakumar Prasanth Kumar may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The NLR family of innate immune and cell death sensors
Hit paper breakdown →
202498
2 202036
3 202136
4 201327
5 202223
6 201922
7 201319
8 201519
9 201319
10 201517
11 201917
12 201116
13 202116
14 202016
15 201716
16 201215
17 201414
18 201814
19 201714
20 201713

About Sivakumar Prasanth Kumar

Sivakumar Prasanth Kumar is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Infectious Diseases and Plant Science, having authored 58 papers that have together received 724 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (29 papers), Protein Structure and Dynamics (9 papers), Synthesis and biological activity (5 papers), Inflammasome and immune disorders (4 papers), HIV/AIDS drug development and treatment (4 papers), vaccines and immunoinformatics approaches (4 papers), interferon and immune responses (3 papers) and Phytochemicals and Antioxidant Activities (3 papers). The work is most often cited by research in Computational Theory and Mathematics (263 citations), Pharmacology (52 citations), Organic Chemistry (139 citations), Molecular Biology (303 citations) and Infectious Diseases (76 citations). Sivakumar Prasanth Kumar has collaborated with scholars based in India, United States and United Arab Emirates. Frequent co-authors include Himanshu Pandya, Yogesh T. Jasrai, Chirag Patel, Rakesh Rawal, Thirumala‐Devi Kanneganti, Prakash C. Jha, Rebecca E. Tweedell, Balamurugan Sundaram, Himanshu A. Pandya and Saumya Patel. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, RSC Advances, SAR and QSAR in environmental research, Chemico-Biological Interactions and Proceedings of the National Academy of Sciences.

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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