Kumar Jayant
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
- Dermatology top 5%
- Dermatology and Skin Diseases
Papers in
- Co-authors
- Isabella Reccia (23 shared papers)Swati Agrawal (19 shared papers)Francesco Virdis (10 shared papers)Nagy Habib (15 shared papers)Duncan Spalding (7 shared papers)Madhava Pai (7 shared papers)Chérif Akladios (1 shared paper)Shrawan Kumar Singh (4 shared papers)
- Journals
- Journal of Clinical Medicine (5 papers)Oncotarget (2 papers)Surgical Oncology (2 papers)American Journal of Nephrology (2 papers)Journal of the American Society of Nephrology (2 papers)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Kumar Jayant
66 papers receiving 856 citations
Peers
Comparison fields: 5 of 80
- Hepatology 119
- Dermatology 68
- Transplantation 20
- Urology 45
- Pulmonary and Respiratory Medicine 187
Countries citing papers authored by Kumar Jayant
This map shows the geographic impact of Kumar Jayant'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 Kumar Jayant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kumar Jayant more than expected).
Fields of papers citing papers by Kumar Jayant
This network shows the impact of papers produced by Kumar Jayant. 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 Kumar Jayant. The network helps show where Kumar Jayant may publish in the future.
Co-authors
The 25 scholars most cited alongside Kumar Jayant, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 139 | |
| 2 | 2017 | 73 | |
| 3 | 2014 | 57 | |
| 4 | 2014 | 39 | |
| 5 | 2020 | 38 | |
| 6 | 2019 | 36 | |
| 7 | 2014 | 30 | |
| 8 | 2018 | 28 | |
| 9 | 2023 | 24 | |
| 10 | 2019 | 24 | |
| 11 | 2018 | 19 | |
| 12 | 2014 | 19 | |
| 13 | 2018 | 19 | |
| 14 | 2021 | 15 | |
| 15 | 2021 | 15 | |
| 16 | 2013 | 15 | |
| 17 | 2020 | 14 | |
| 18 | 2017 | 13 | |
| 19 | 2021 | 12 | |
| 20 | 2020 | 12 |
About Kumar Jayant
Kumar Jayant is a scholar working on Surgery, Oncology, Pulmonary and Respiratory Medicine, Epidemiology and Hepatology, having authored 71 papers that have together received 882 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Pancreatic and Hepatic Oncology Research (7 papers), Organ Transplantation Techniques and Outcomes (5 papers), Diabetes and associated disorders (4 papers), Kidney Stones and Urolithiasis Treatments (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Neuroendocrine Tumor Research Advances (4 papers) and Renal Transplantation Outcomes and Treatments (3 papers). The work is most often cited by research in Hepatology (119 citations), Dermatology (68 citations), Transplantation (20 citations), Urology (45 citations) and Pulmonary and Respiratory Medicine (187 citations). Kumar Jayant has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Isabella Reccia, Swati Agrawal, Francesco Virdis, Nagy Habib, Duncan Spalding, Madhava Pai, Chérif Akladios, Shrawan Kumar Singh, Santosh Kumar and Santosh Kumar. Their work appears in journals such as Journal of Clinical Medicine, Oncotarget, Surgical Oncology, American Journal of Nephrology and Journal of the American Society of Nephrology.
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.