Asif Jan
Impact in
- Modeling and Simulation top 2%
- Fractional Differential Equations Solutions
- COVID-19 epidemiological studies
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- Catalysis and Oxidation Reactions
Papers in
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- Mathematical and Theoretical Epidemiology and Ecology Models 4
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- Fractional Differential Equations Solutions 5
- Co-authors
- Rashid Jan (6 shared papers)Farah Aini Abdullah (2 shared papers)Salah Boulaaras (3 shared papers)H. M. Srivastava (2 shared papers)Ho‐Il Ji (2 shared papers)Jong‐Ho Lee (2 shared papers)Ji‐Won Son (2 shared papers)Sungeun Yang (2 shared papers)
- Journals
- PLoS ONE (3 papers)Frontiers in Public Health (2 papers)Genes (2 papers)Chaos An Interdisciplinary Journal of Nonlinear Science (1 paper)ACS Omega (1 paper)
- Partner nations
- PakistanSaudi ArabiaChina
In The Last Decade
Asif Jan
30 papers receiving 417 citations
Peers
Comparison fields: 5 of 106
- Modeling and Simulation 111
- Catalysis 54
- Public Health, Environmental and Occupational Health 76
- Numerical Analysis 13
- Applied Mathematics 24
Countries citing papers authored by Asif Jan
This map shows the geographic impact of Asif Jan'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 Asif Jan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asif Jan more than expected).
Fields of papers citing papers by Asif Jan
This network shows the impact of papers produced by Asif Jan. 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 Asif Jan. The network helps show where Asif Jan may publish in the future.
Co-authors
The 25 scholars most cited alongside Asif Jan, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 76 | |
| 2 | 2021 | 46 | |
| 3 | 2023 | 42 | |
| 4 | 2023 | 40 | |
| 5 | 2023 | 36 | |
| 6 | 2020 | 35 | |
| 7 | 2019 | 28 | |
| 8 | 2021 | 17 | |
| 9 | 2022 | 14 | |
| 10 | 2018 | 12 | |
| 11 | 2023 | 9 | |
| 12 | 2022 | 9 | |
| 13 | 2024 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2022 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2022 | 4 |
About Asif Jan
Asif Jan is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Genetics, Endocrinology, Diabetes and Metabolism and Food Science, having authored 34 papers that have together received 427 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (5 papers), Mathematical and Theoretical Epidemiology and Ecology Models (4 papers), Diabetes and associated disorders (2 papers), Salmonella and Campylobacter epidemiology (2 papers), Genetic Associations and Epidemiology (2 papers), Pancreatic function and diabetes (2 papers), Diabetes Treatment and Management (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Modeling and Simulation (111 citations), Catalysis (54 citations), Public Health, Environmental and Occupational Health (76 citations), Numerical Analysis (13 citations) and Applied Mathematics (24 citations). Asif Jan has collaborated with scholars based in Pakistan, Saudi Arabia and China. Frequent co-authors include Rashid Jan, Farah Aini Abdullah, Salah Boulaaras, H. M. Srivastava, Ho‐Il Ji, Jong‐Ho Lee, Ji‐Won Son, Sungeun Yang, Kyung Joong Yoon and Wejdan Deebani. Their work appears in journals such as PLoS ONE, Frontiers in Public Health, Genes, Chaos An Interdisciplinary Journal of Nonlinear Science and ACS Omega.
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.