Ankit Kumar Verma
Impact in
- Dermatology top 5%
- Skin Protection and Aging
Papers in
-
- Skin Protection and Aging 8
- Cell Biology 10
- Skin and Cellular Biology Research 8
- Co-authors
- Varda Shoshan‐Barmatz (6 shared papers)Anna Shteinfer‐Kuzmine (6 shared papers)Daoud Ali (7 shared papers)Saud A. Alarifi (3 shared papers)Ratan Singh Ray (10 shared papers)Bahy Ahmed Ali (1 shared paper)Sridhar Sivasubbu (32 shared papers)Vinod Scaria (32 shared papers)
- Journals
- F1000Research (9 papers)Clinical Epigenetics (3 papers)Scientific Reports (3 papers)Journal of the European Academy of Dermatology and Venereology (2 papers)Toxicology Letters (2 papers)
- Partner nations
- IndiaItalyUnited States
In The Last Decade
Ankit Kumar Verma
84 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 127
- Dermatology 146
- Cancer Research 143
- Molecular Biology 691
- Health, Toxicology and Mutagenesis 134
- Biochemistry 47
Countries citing papers authored by Ankit Kumar Verma
This map shows the geographic impact of Ankit Kumar Verma'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 Ankit Kumar Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankit Kumar Verma more than expected).
Fields of papers citing papers by Ankit Kumar Verma
This network shows the impact of papers produced by Ankit Kumar Verma. 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 Ankit Kumar Verma. The network helps show where Ankit Kumar Verma may publish in the future.
Co-authors
The 25 scholars most cited alongside Ankit Kumar Verma, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 182 | |
| 2 | 2013 | 167 | |
| 3 | 2013 | 128 | |
| 4 | 2021 | 91 | |
| 5 | 2022 | 72 | |
| 6 | 2023 | 63 | |
| 7 | 2016 | 63 | |
| 8 | 2019 | 62 | |
| 9 | 2011 | 60 | |
| 10 | 2020 | 49 | |
| 11 | 2017 | 46 | |
| 12 | 2017 | 46 | |
| 13 | 2017 | 45 | |
| 14 | 2019 | 45 | |
| 15 | 2010 | 42 | |
| 16 | 2020 | 36 | |
| 17 | 2013 | 33 | |
| 18 | 2018 | 33 | |
| 19 | 2015 | 31 | |
| 20 | 2019 | 29 |
About Ankit Kumar Verma
Ankit Kumar Verma is a scholar working on Dermatology, Cell Biology, Genetics, Immunology and Molecular Biology, having authored 85 papers that have together received 1.9k indexed citations. Recurring topics across this work include Skin Protection and Aging (8 papers), Skin and Cellular Biology Research (8 papers), Genetic Syndromes and Imprinting (6 papers), Mitochondrial Function and Pathology (5 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Photodynamic Therapy Research Studies (4 papers), RNA modifications and cancer (4 papers) and interferon and immune responses (4 papers). The work is most often cited by research in Dermatology (146 citations), Cancer Research (143 citations), Molecular Biology (691 citations), Health, Toxicology and Mutagenesis (134 citations) and Biochemistry (47 citations). Ankit Kumar Verma has collaborated with scholars based in India, Italy and United States. Frequent co-authors include Varda Shoshan‐Barmatz, Anna Shteinfer‐Kuzmine, Daoud Ali, Saud A. Alarifi, Ratan Singh Ray, Bahy Ahmed Ali, Sridhar Sivasubbu, Vinod Scaria, Rijith Jayarajan and Ashish Dwivedi. Their work appears in journals such as F1000Research, Clinical Epigenetics, Scientific Reports, Journal of the European Academy of Dermatology and Venereology and Toxicology Letters.
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.