Salma Jamal
Impact in
-
- Computational Drug Discovery Methods
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Cancer therapeutics and mechanisms 12
- Biochemical and Molecular Research 5
- vaccines and immunoinformatics approaches 4
-
- Tuberculosis Research and Epidemiology 16
- Co-authors
- Abhinav Grover (44 shared papers)Sukriti Goyal (33 shared papers)Sonam Grover (21 shared papers)Aditi Singh (20 shared papers)Vinod Scaria (6 shared papers)Asheesh Shanker (8 shared papers)Sharad Verma (7 shared papers)Chetna Tyagi (8 shared papers)
In The Last Decade
Salma Jamal
64 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 119
- Computational Theory and Mathematics 272
- Infectious Diseases 243
- Toxicology 38
- Health Informatics 13
- Molecular Biology 620
Countries citing papers authored by Salma Jamal
This map shows the geographic impact of Salma Jamal'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 Salma Jamal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salma Jamal more than expected).
Fields of papers citing papers by Salma Jamal
This network shows the impact of papers produced by Salma Jamal. 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 Salma Jamal. The network helps show where Salma Jamal may publish in the future.
Co-authors
The 25 scholars most cited alongside Salma Jamal, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 79 | |
| 2 | 2016 | 70 | |
| 3 | 2020 | 64 | |
| 4 | 2017 | 55 | |
| 5 | 2019 | 47 | |
| 6 | 2021 | 45 | |
| 7 | 2020 | 38 | |
| 8 | 2012 | 38 | |
| 9 | 2017 | 37 | |
| 10 | 2016 | 35 | |
| 11 | 2015 | 35 | |
| 12 | 2016 | 31 | |
| 13 | 2019 | 31 | |
| 14 | 2013 | 30 | |
| 15 | 2013 | 28 | |
| 16 | 2015 | 28 | |
| 17 | 2018 | 24 | |
| 18 | 2015 | 24 | |
| 19 | 2017 | 24 | |
| 20 | 2015 | 22 |
About Salma Jamal
Salma Jamal is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Tuberculosis Research and Epidemiology (16 papers), Cancer therapeutics and mechanisms (12 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Biochemical and Molecular Research (5 papers), Alzheimer's disease research and treatments (4 papers), vaccines and immunoinformatics approaches (4 papers) and Mycobacterium research and diagnosis (3 papers). The work is most often cited by research in Computational Theory and Mathematics (272 citations), Infectious Diseases (243 citations), Toxicology (38 citations), Health Informatics (13 citations) and Molecular Biology (620 citations). Salma Jamal has collaborated with scholars based in India, Egypt and Canada. Frequent co-authors include Abhinav Grover, Sukriti Goyal, Sonam Grover, Aditi Singh, Vinod Scaria, Asheesh Shanker, Sharad Verma, Chetna Tyagi, Vinita Periwal and Seyed E. Hasnain. Their work appears in journals such as Scientific Reports, Journal of Biomolecular Structure and Dynamics, BMC Bioinformatics, PLoS ONE 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.