Sharad Verma
- Molecular Biology
- Plant Science
- Biochemistry top 5%
- Computational Theory and Mathematics top 5%
- Biomedical Engineering
- Co-authors
- Abha MishraAmit SinghAbhinav GroverAditi SinghSukriti GoyalSalma JamalChetna TyagiAnil Kumar Tripathi
- Topics
- Computational Drug Discovery Methods (7 papers)Cancer-related Molecular Pathways (4 papers)Cell death mechanisms and regulation (3 papers)
- Journals
- PLoS ONECancer ResearchGene
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Sharad Verma
26 papers receiving 779 citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 380
- Plant Science 123
- Biochemistry 89
- Computational Theory and Mathematics 87
- Biomedical Engineering 78
Countries citing papers authored by Sharad Verma
This map shows the geographic impact of Sharad 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 Sharad Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sharad Verma more than expected).
Fields of papers citing papers by Sharad Verma
This network shows the impact of papers produced by Sharad 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 Sharad Verma. The network helps show where Sharad Verma may publish in the future.
Co-authorship network of co-authors of Sharad Verma
This figure shows the co-authorship network connecting the top 25 collaborators of Sharad Verma. A scholar is included among the top collaborators of Sharad Verma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sharad Verma. Sharad Verma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 4 | |
| 4 | 77 | |
| 5 | 69 | |
| 6 | 9 | |
| 7 | MMPs as Molecular Targets for Wound Healing by Musa sapientum: In-silico and In-vivo Evidences | 1 |
| 8 | 16 | |
| 9 | 304 | |
| 10 | 7 | |
| 11 | 4 | |
| 12 | 12 | |
| 13 | 24 | |
| 14 | Molecular construction of NADH-cytochrome b5 reductase inhibition by flavonoids and chemical basis of difference in inhibition potential: Molecular dynamics simulation study | 2 |
| 15 | 16 | |
| 16 | 3 | |
| 17 | 24 | |
| 18 | 18 | |
| 19 | 61 | |
| 20 | 70 |
About Sharad Verma
Sharad Verma is a scholar working on Applied Microbiology and Biotechnology, Computational Theory and Mathematics and Oncology, having authored 26 papers that have together received 805 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Cancer-related Molecular Pathways (4 papers) and Cell death mechanisms and regulation (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (77 citations), Biochemistry (89 citations) and Molecular Medicine (33 citations). Sharad Verma has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Abha Mishra, Amit Singh, Abhinav Grover, Aditi Singh, Sukriti Goyal, Salma Jamal, Chetna Tyagi, Anil Kumar Tripathi, Soumitra Paul Chowdhury and R. Banerji. Their work appears in journals such as PLoS ONE, Cancer Research and Gene.
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.