Deepshikha Verma
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
-
- Mycobacterium research and diagnosis
Papers in
-
- Tuberculosis Research and Epidemiology 13
- Epidemiology 12
- Mycobacterium research and diagnosis 11
- Co-authors
- Diane Ordway (12 shared papers)Edward D. Chan (7 shared papers)Giriraj Tailor (6 shared papers)Crystal A. Shanley (2 shared papers)Véronique Dartois (1 shared paper)Lian J. Pennings (1 shared paper)K.W. STAPLETON (1 shared paper)Grish C. Varshney (2 shared papers)
- Journals
- PLoS ONE (2 papers)Frontiers in Microbiology (2 papers)Immune Network (2 papers)Frontiers in Cellular and Infection Microbiology (1 paper)Thorax (1 paper)
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Deepshikha Verma
23 papers receiving 256 citations
Peers
Comparison fields: 5 of 67
- Infectious Diseases 143
- Epidemiology 126
- Microbiology 3
- Molecular Medicine 17
- Small Animals 25
Countries citing papers authored by Deepshikha Verma
This map shows the geographic impact of Deepshikha 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 Deepshikha Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepshikha Verma more than expected).
Fields of papers citing papers by Deepshikha Verma
This network shows the impact of papers produced by Deepshikha 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 Deepshikha Verma. The network helps show where Deepshikha Verma may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepshikha 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 52 | |
| 2 | 2015 | 34 | |
| 3 | 2013 | 30 | |
| 4 | 2019 | 22 | |
| 5 | 2019 | 15 | |
| 6 | 2021 | 14 | |
| 7 | 2020 | 13 | |
| 8 | 2018 | 13 | |
| 9 | 2017 | 11 | |
| 10 | 2021 | 8 | |
| 11 | 2023 | 8 | |
| 12 | 2020 | 7 | |
| 13 | 2021 | 6 | |
| 14 | 2020 | 6 | |
| 15 | 2015 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2025 | 2 |
About Deepshikha Verma
Deepshikha Verma is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Immunology and Materials Chemistry, having authored 30 papers that have together received 268 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (13 papers), Mycobacterium research and diagnosis (11 papers), Nanoparticles: synthesis and applications (4 papers), Immune Cell Function and Interaction (3 papers), Conducting polymers and applications (2 papers), Antibiotic Resistance in Bacteria (2 papers), T-cell and B-cell Immunology (1 paper) and Quinazolinone synthesis and applications (1 paper). The work is most often cited by research in Infectious Diseases (143 citations), Epidemiology (126 citations), Microbiology (3 citations), Molecular Medicine (17 citations) and Small Animals (25 citations). Deepshikha Verma has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Diane Ordway, Edward D. Chan, Giriraj Tailor, Crystal A. Shanley, Véronique Dartois, Lian J. Pennings, K.W. STAPLETON, Grish C. Varshney, Ian M. Orme and S K Furney. Their work appears in journals such as PLoS ONE, Frontiers in Microbiology, Immune Network, Frontiers in Cellular and Infection Microbiology and Thorax.
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.