Jawed Iqbal
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- Immunology top 10%
- interferon and immune responses
Papers in
-
- SARS-CoV-2 and COVID-19 Research 6
- Viral Infections and Vectors 2
-
- CRISPR and Genetic Engineering 3
- Co-authors
- Binod Kumar (6 shared papers)Bala Chandran (5 shared papers)Dipanjan Dutta (5 shared papers)Mairaj Ahmed Ansari (5 shared papers)Arunava Roy (4 shared papers)Mohanan Valiya Veettil (4 shared papers)Chikoti Leela (3 shared papers)Sujoy Dutta (2 shared papers)
- Journals
- Journal of Virology (3 papers)PLoS Pathogens (3 papers)Frontiers in Cellular and Infection Microbiology (2 papers)Archives of Virology (2 papers)Journal of Biomolecular Structure and Dynamics (2 papers)
- Partner nations
- IndiaSaudi ArabiaUnited States
In The Last Decade
Jawed Iqbal
21 papers receiving 625 citations
Peers
Comparison fields: 5 of 80
- Infectious Diseases 195
- Immunology 213
- Epidemiology 148
- Hepatology 34
- Molecular Biology 269
Countries citing papers authored by Jawed Iqbal
This map shows the geographic impact of Jawed Iqbal'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 Jawed Iqbal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jawed Iqbal more than expected).
Fields of papers citing papers by Jawed Iqbal
This network shows the impact of papers produced by Jawed Iqbal. 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 Jawed Iqbal. The network helps show where Jawed Iqbal may publish in the future.
Co-authors
The 25 scholars most cited alongside Jawed Iqbal, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 108 | |
| 2 | 2020 | 87 | |
| 3 | 2016 | 63 | |
| 4 | 2021 | 60 | |
| 5 | 2016 | 49 | |
| 6 | 2022 | 39 | |
| 7 | 2016 | 32 | |
| 8 | 2021 | 26 | |
| 9 | 2013 | 24 | |
| 10 | 2018 | 24 | |
| 11 | 2016 | 24 | |
| 12 | 2020 | 23 | |
| 13 | 2019 | 20 | |
| 14 | 2021 | 14 | |
| 15 | 2024 | 10 | |
| 16 | 2023 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2024 | 7 | |
| 19 | 2021 | 1 | |
| 20 | 2021 | 1 |
About Jawed Iqbal
Jawed Iqbal is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Immunology and Hepatology, having authored 23 papers that have together received 628 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), interferon and immune responses (4 papers), Hepatitis C virus research (3 papers), CRISPR and Genetic Engineering (3 papers), Hepatitis B Virus Studies (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Biosensors and Analytical Detection (2 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Infectious Diseases (195 citations), Immunology (213 citations), Epidemiology (148 citations), Hepatology (34 citations) and Molecular Biology (269 citations). Jawed Iqbal has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Binod Kumar, Bala Chandran, Dipanjan Dutta, Mairaj Ahmed Ansari, Arunava Roy, Mohanan Valiya Veettil, Chikoti Leela, Sujoy Dutta, Vivek Vikram Singh and Tanveer Ahmad. Their work appears in journals such as Journal of Virology, PLoS Pathogens, Frontiers in Cellular and Infection Microbiology, Archives of Virology and Journal of Biomolecular Structure and Dynamics.
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.