Prashanta Silwal
Impact in
- Biological Psychiatry top 10%
- Immunology top 10%
- interferon and immune responses
Papers in
- Epidemiology 19
- Autophagy in Disease and Therapy 14
- Mycobacterium research and diagnosis 5
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- Inflammasome and immune disorders 4
- Co-authors
- Eun‐Kyeong Jo (27 shared papers)Jin Kyung Kim (12 shared papers)Seungwha Paik (4 shared papers)Chihiro Sasakawa (1 shared paper)Chaeuk Chung (4 shared papers)Jae–Min Yuk (3 shared papers)Young Jae Kim (9 shared papers)In Soo Kim (8 shared papers)
- Journals
- Immune Network (3 papers)Virulence (3 papers)Experimental & Molecular Medicine (3 papers)Cells (3 papers)Journal of Hematology & Oncology (2 papers)
- Partner nations
- South KoreaPuerto RicoUnited States
In The Last Decade
Prashanta Silwal
38 papers receiving 1.8k citations
Prashanta Silwal's Hit Papers
Peers
Comparison fields: 5 of 112
- Biological Psychiatry 53
- Immunology 365
- Physiology 80
- Infectious Diseases 258
- Epidemiology 422
Countries citing papers authored by Prashanta Silwal
This map shows the geographic impact of Prashanta Silwal'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 Prashanta Silwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashanta Silwal more than expected).
Fields of papers citing papers by Prashanta Silwal
This network shows the impact of papers produced by Prashanta Silwal. 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 Prashanta Silwal. The network helps show where Prashanta Silwal may publish in the future.
Co-authors
The 25 scholars most cited alongside Prashanta Silwal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An update on the regulatory mechanisms of NLRP3 inflammasome activation Hit paper breakdown → | 2021 | 618 |
| 2 | 2020 | 158 | |
| 3 | 2020 | 120 | |
| 4 | Cellular Senescence in Intervertebral Disc Aging and Degeneration: Molecular Mechanisms and Potential Therapeutic Opportunities Hit paper breakdown → | 2023 | 111 |
| 5 | 2020 | 104 | |
| 6 | 2020 | 102 | |
| 7 | 2020 | 81 | |
| 8 | 2019 | 62 | |
| 9 | 2018 | 61 | |
| 10 | 2020 | 58 | |
| 11 | 2022 | 44 | |
| 12 | 2019 | 28 | |
| 13 | 2019 | 26 | |
| 14 | 2020 | 25 | |
| 15 | 2021 | 24 | |
| 16 | 2021 | 23 | |
| 17 | 2021 | 21 | |
| 18 | 2021 | 20 | |
| 19 | 2023 | 19 | |
| 20 | 2023 | 19 |
About Prashanta Silwal
Prashanta Silwal is a scholar working on Epidemiology, Molecular Biology, Immunology, Physiology and Pathology and Forensic Medicine, having authored 39 papers that have together received 1.9k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (14 papers), Calcium signaling and nucleotide metabolism (7 papers), Mycobacterium research and diagnosis (5 papers), Mast cells and histamine (4 papers), Inflammasome and immune disorders (4 papers), Spine and Intervertebral Disc Pathology (4 papers), Adenosine and Purinergic Signaling (4 papers) and Quinazolinone synthesis and applications (3 papers). The work is most often cited by research in Biological Psychiatry (53 citations), Immunology (365 citations), Physiology (80 citations), Infectious Diseases (258 citations) and Epidemiology (422 citations). Prashanta Silwal has collaborated with scholars based in South Korea, Puerto Rico and United States. Frequent co-authors include Eun‐Kyeong Jo, Jin Kyung Kim, Seungwha Paik, Chihiro Sasakawa, Chaeuk Chung, Jae–Min Yuk, Young Jae Kim, In Soo Kim, In-Soo Kim and Robert L. Modlin. Their work appears in journals such as Immune Network, Virulence, Experimental & Molecular Medicine, Cells and Journal of Hematology & Oncology.
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.