Pervaiz Dar
Impact in
- Endocrinology top 5%
- Microbiology top 5%
Papers in
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- Animal Disease Management and Epidemiology 7
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- Immune Cell Function and Interaction 3
- Co-authors
- Irshad A. Hajam (4 shared papers)John Hwa Lee (2 shared papers)Shahnawaz Imam (6 shared papers)Juan Carlos Jaume (6 shared papers)Ganesh Kondabattula (7 shared papers)Tanveer Ali Dar (7 shared papers)Gayeon Won (1 shared paper)Laishram Rajendrakumar Singh (2 shared papers)
- Journals
- Scientific Reports (2 papers)Journal of Parasitology (2 papers)International Journal of Biological Macromolecules (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Vaccine (1 paper)
- Partner nations
- IndiaUnited StatesSaudi Arabia
In The Last Decade
Pervaiz Dar
48 papers receiving 874 citations
Peers
Comparison fields: 5 of 109
- Endocrinology 83
- Microbiology 79
- Agronomy and Crop Science 108
- Immunology 214
- Infectious Diseases 167
Countries citing papers authored by Pervaiz Dar
This map shows the geographic impact of Pervaiz Dar'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 Pervaiz Dar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pervaiz Dar more than expected).
Fields of papers citing papers by Pervaiz Dar
This network shows the impact of papers produced by Pervaiz Dar. 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 Pervaiz Dar. The network helps show where Pervaiz Dar may publish in the future.
Co-authors
The 25 scholars most cited alongside Pervaiz Dar, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 263 | |
| 2 | 2017 | 89 | |
| 3 | 2013 | 78 | |
| 4 | 2015 | 44 | |
| 5 | 2019 | 35 | |
| 6 | 2016 | 33 | |
| 7 | 2019 | 31 | |
| 8 | 2008 | 29 | |
| 9 | 2017 | 25 | |
| 10 | 2013 | 23 | |
| 11 | 2019 | 21 | |
| 12 | 2017 | 20 | |
| 13 | 2008 | 17 | |
| 14 | 2019 | 14 | |
| 15 | 2015 | 13 | |
| 16 | 2014 | 13 | |
| 17 | 2017 | 13 | |
| 18 | 2012 | 12 | |
| 19 | 2014 | 11 | |
| 20 | 2014 | 11 |
About Pervaiz Dar
Pervaiz Dar is a scholar working on Agronomy and Crop Science, Immunology, Molecular Biology, Infectious Diseases and Surgery, having authored 53 papers that have together received 893 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (7 papers), Viral Infections and Immunology Research (5 papers), Vector-Borne Animal Diseases (5 papers), Pancreatic function and diabetes (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Parasite Biology and Host Interactions (3 papers), Diabetes and associated disorders (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Endocrinology (83 citations), Microbiology (79 citations), Agronomy and Crop Science (108 citations), Immunology (214 citations) and Infectious Diseases (167 citations). Pervaiz Dar has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Irshad A. Hajam, John Hwa Lee, Shahnawaz Imam, Juan Carlos Jaume, Ganesh Kondabattula, Tanveer Ali Dar, Gayeon Won, Laishram Rajendrakumar Singh, Mohammad Amjad Kamal and V. Bhanuprakash. Their work appears in journals such as Scientific Reports, Journal of Parasitology, International Journal of Biological Macromolecules, Frontiers in Cell and Developmental Biology and Vaccine.
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.