Anil KC
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Immunotherapy and Immune Responses
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 10
- T-cell and B-cell Immunology 8
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 2
- Genetics 4
- Diabetes and associated disorders 3
- Co-authors
- Hongbo Chi (9 shared papers)Prem Basel (1 shared paper)Lingyun Long (3 shared papers)Jordy Saravia (4 shared papers)Yogesh Dhungana (5 shared papers)Seon Ah Lim (3 shared papers)Hongling Huang (3 shared papers)Jun Wei (3 shared papers)
- Journals
- Nature (4 papers)PLoS ONE (2 papers)Medicine (1 paper)Science Immunology (1 paper)BMJ Open (1 paper)
- Partner nations
- United StatesNepalIndia
In The Last Decade
Anil KC
22 papers receiving 820 citations
Anil KC's Hit Papers
Peers
Comparison fields: 5 of 74
- Immunology 384
- Oncology 282
- Cancer Research 66
- Molecular Biology 287
- Aging 7
Countries citing papers authored by Anil KC
This map shows the geographic impact of Anil KC'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 Anil KC with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anil KC more than expected).
Fields of papers citing papers by Anil KC
This network shows the impact of papers produced by Anil KC. 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 Anil KC. The network helps show where Anil KC may publish in the future.
Co-authors
The 25 scholars most cited alongside Anil KC, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 297 | |
| 2 | 2017 | 153 | |
| 3 | 2020 | 98 | |
| 4 | 2023 | 89 | |
| 5 | 2018 | 62 | |
| 6 | 2020 | 42 | |
| 7 | VDAC2 loss elicits tumour destruction and inflammation for cancer therapy Hit paper breakdown → | 2025 | 28 |
| 8 | Metabolic signaling directs the reciprocal lineage decisions of αβ and γδ T cells | 2018 | 14 |
| 9 | 2023 | 12 | |
| 10 | 2022 | 9 | |
| 11 | 2023 | 5 | |
| 12 | 2025 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2015 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2022 | 1 |
About Anil KC
Anil KC is a scholar working on Immunology, Genetics, Molecular Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 23 papers that have together received 833 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (7 papers), Diabetes and associated disorders (3 papers), Child Nutrition and Water Access (2 papers), CAR-T cell therapy research (2 papers), Immunotherapy and Immune Responses (2 papers), Folate and B Vitamins Research (1 paper) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Immunology (384 citations), Oncology (282 citations), Cancer Research (66 citations), Molecular Biology (287 citations) and Aging (7 citations). Anil KC has collaborated with scholars based in United States, Nepal and India. Frequent co-authors include Hongbo Chi, Prem Basel, Lingyun Long, Jordy Saravia, Yogesh Dhungana, Seon Ah Lim, Hongling Huang, Jun Wei, Sherri L. Rankin and Cliff Guy. Their work appears in journals such as Nature, PLoS ONE, Medicine, Science Immunology and BMJ Open.
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.