Chandra Verma
Impact in
- Microbiology top 0.1%
- Antimicrobial Peptides and Activities
- Molecular Biology top 0.5%
- Chemical Synthesis and Analysis
- Protein Structure and Dynamics
- Ubiquitin and proteasome pathways
Papers in
- Microbiology 35
- Antimicrobial Peptides and Activities 35
-
- Protein Structure and Dynamics 59
- Chemical Synthesis and Analysis 39
- Ubiquitin and proteasome pathways 27
- RNA and protein synthesis mechanisms 20
- Co-authors
- David P. LaneChristopher J. BrownKian Hoe KhooRoger W. BeuermanRajamani LakshminarayananShouping LiuGuy DodsonSonia Laı́n
- Journals
- Scientific Reports (16 papers)Proteins Structure Function and Bioinformatics (14 papers)Biochemistry (14 papers)Cell Cycle (14 papers)PLoS ONE (13 papers)
- Partner nations
- SingaporeUnited KingdomFrance
In The Last Decade
Chandra Verma
311 papers receiving 11.4k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Microbiology 1.3k
- Molecular Biology 8.0k
- Oncology 2.9k
- Molecular Medicine 437
- Biotechnology 494
Countries citing papers authored by Chandra Verma
This map shows the geographic impact of Chandra 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 Chandra Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chandra Verma more than expected).
Fields of papers citing papers by Chandra Verma
This network shows the impact of papers produced by Chandra 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 Chandra Verma. The network helps show where Chandra Verma may publish in the future.
Co-authors
The 25 scholars most cited alongside Chandra 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2024 | 22 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 7 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 33 | |
| 8 | 2021 | 9 | |
| 9 | 2019 | 24 | |
| 10 | 2019 | 26 | |
| 11 | 2019 | 21 | |
| 12 | 2019 | 30 | |
| 13 | 2018 | 27 | |
| 14 | 2017 | 16 | |
| 15 | 2017 | 72 | |
| 16 | 2016 | 6 | |
| 17 | 2016 | 36 | |
| 18 | 2011 | 63 | |
| 19 | 2008 | 342 | |
| 20 | 2006 | 1 |
About Chandra Verma
Chandra Verma is a scholar working on Microbiology, Molecular Biology, Oncology, Virology and Cell Biology, having authored 315 papers that have together received 11.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (59 papers), Cancer-related Molecular Pathways (51 papers), Chemical Synthesis and Analysis (39 papers), Enzyme Structure and Function (36 papers), Antimicrobial Peptides and Activities (35 papers), Ubiquitin and proteasome pathways (27 papers), Monoclonal and Polyclonal Antibodies Research (26 papers) and RNA and protein synthesis mechanisms (20 papers). The work is most often cited by research in Microbiology (1.3k citations), Molecular Biology (8.0k citations), Oncology (2.9k citations), Molecular Medicine (437 citations) and Biotechnology (494 citations). Chandra Verma has collaborated with scholars based in Singapore, United Kingdom and France. Frequent co-authors include David P. Lane, Christopher J. Brown, Kian Hoe Khoo, Roger W. Beuerman, Rajamani Lakshminarayanan, Shouping Liu, Guy Dodson, Sonia Laı́n, Alan R. Fersht and Chit Fang Cheok. Their work appears in journals such as Scientific Reports, Proteins Structure Function and Bioinformatics, Biochemistry, Cell Cycle and PLoS ONE.
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.