Mayank Verma
Impact in
Papers in
-
- Muscle Physiology and Disorders 21
- Congenital heart defects research 2
- Surgery 6
- Tissue Engineering and Regenerative Medicine 6
- Co-authors
- Atsushi Asakura (18 shared papers)Yoko Asakura (12 shared papers)Hiroyuki Hirai (6 shared papers)Linda K. McLoon (2 shared papers)Christopher Tastad (4 shared papers)Shuichi Watanabe (3 shared papers)Bénédicte Chazaud (1 shared paper)Claire Latroche (1 shared paper)
- Journals
- Gene Therapy (2 papers)Journal of Clinical Investigation (2 papers)Developmental Cell (1 paper)Journal of Histochemistry & Cytochemistry (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Mayank Verma
30 papers receiving 977 citations
Peers
Comparison fields: 5 of 70
- Genetics 164
- Aging 28
- Molecular Biology 817
- Rehabilitation 54
- Physiology 175
Countries citing papers authored by Mayank Verma
This map shows the geographic impact of Mayank 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 Mayank Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayank Verma more than expected).
Fields of papers citing papers by Mayank Verma
This network shows the impact of papers produced by Mayank 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 Mayank Verma. The network helps show where Mayank Verma may publish in the future.
Co-authors
The 25 scholars most cited alongside Mayank 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 234 | |
| 2 | 2010 | 157 | |
| 3 | 2007 | 99 | |
| 4 | 2020 | 49 | |
| 5 | 2010 | 48 | |
| 6 | 2013 | 48 | |
| 7 | 2013 | 40 | |
| 8 | 2013 | 40 | |
| 9 | 2011 | 39 | |
| 10 | 2018 | 31 | |
| 11 | 2017 | 29 | |
| 12 | 2024 | 28 | |
| 13 | 2018 | 28 | |
| 14 | 2019 | 21 | |
| 15 | 2016 | 14 | |
| 16 | 2012 | 14 | |
| 17 | 2021 | 12 | |
| 18 | 2009 | 11 | |
| 19 | 2019 | 8 | |
| 20 | 2010 | 7 |
About Mayank Verma
Mayank Verma is a scholar working on Molecular Biology, Surgery, Genetics, Biomedical Engineering and Rheumatology, having authored 31 papers that have together received 983 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (21 papers), Tissue Engineering and Regenerative Medicine (6 papers), Mesenchymal stem cell research (4 papers), Glycogen Storage Diseases and Myoclonus (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Cardiomyopathy and Myosin Studies (3 papers), Congenital heart defects research (2 papers) and Muscle activation and electromyography studies (2 papers). The work is most often cited by research in Genetics (164 citations), Aging (28 citations), Molecular Biology (817 citations), Rehabilitation (54 citations) and Physiology (175 citations). Mayank Verma has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Atsushi Asakura, Yoko Asakura, Hiroyuki Hirai, Linda K. McLoon, Christopher Tastad, Shuichi Watanabe, Bénédicte Chazaud, Claire Latroche, Thomas Pengo and Dawn A. Lowe. Their work appears in journals such as Gene Therapy, Journal of Clinical Investigation, Developmental Cell, Journal of Histochemistry & Cytochemistry and Biochemical and Biophysical Research Communications.
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.