Sushil Devkota
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
-
- Autophagy in Disease and Therapy
Papers in
-
- Ubiquitin and proteasome pathways 4
- CRISPR and Genetic Engineering 3
- Pluripotent Stem Cells Research 2
- RNA Interference and Gene Delivery 2
- Oncology 5
- Cancer-related Molecular Pathways 3
- Co-authors
- Han‐Woong Lee (11 shared papers)Taewook Nam (2 shared papers)Young Hoon Sung (5 shared papers)Jaehoon Lee (3 shared papers)Muhammad Ali (1 shared paper)Daehee Hwang (2 shared papers)Yunmi Kim (1 shared paper)Hoonkyo Suh (2 shared papers)
- Journals
- The International Journal of Biochemistry & Cell Biology (1 paper)Biochemical and Biophysical Research Communications (1 paper)Oncogene (1 paper)Oncotarget (1 paper)Translational Psychiatry (1 paper)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Sushil Devkota
16 papers receiving 384 citations
Peers
Comparison fields: 5 of 71
- Aging 29
- Epidemiology 115
- Business and International Management 8
- Cell Biology 58
- Molecular Biology 223
Countries citing papers authored by Sushil Devkota
This map shows the geographic impact of Sushil Devkota'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 Sushil Devkota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sushil Devkota more than expected).
Fields of papers citing papers by Sushil Devkota
This network shows the impact of papers produced by Sushil Devkota. 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 Sushil Devkota. The network helps show where Sushil Devkota may publish in the future.
Co-authors
The 25 scholars most cited alongside Sushil Devkota, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 94 | |
| 2 | 2018 | 54 | |
| 3 | 2016 | 39 | |
| 4 | 2017 | 35 | |
| 5 | 2016 | 29 | |
| 6 | 2013 | 29 | |
| 7 | 2016 | 20 | |
| 8 | 2012 | 17 | |
| 9 | 2013 | 16 | |
| 10 | 2010 | 14 | |
| 11 | 2021 | 12 | |
| 12 | 2020 | 9 | |
| 13 | 2019 | 8 | |
| 14 | 2016 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2022 | 3 |
About Sushil Devkota
Sushil Devkota is a scholar working on Molecular Biology, Oncology, Epidemiology, Cell Biology and Physiology, having authored 16 papers that have together received 388 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Cancer-related Molecular Pathways (3 papers), Telomeres, Telomerase, and Senescence (3 papers), Autophagy in Disease and Therapy (3 papers), CRISPR and Genetic Engineering (3 papers), Pluripotent Stem Cells Research (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Aging (29 citations), Epidemiology (115 citations), Business and International Management (8 citations), Cell Biology (58 citations) and Molecular Biology (223 citations). Sushil Devkota has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Han‐Woong Lee, Taewook Nam, Young Hoon Sung, Jaehoon Lee, Muhammad Ali, Daehee Hwang, Yunmi Kim, Hoonkyo Suh, Jae‐Hoon Lee and Muhammad Ali. Their work appears in journals such as The International Journal of Biochemistry & Cell Biology, Biochemical and Biophysical Research Communications, Oncogene, Oncotarget and Translational Psychiatry.
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.