Ajab Khan
Impact in
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
- Animal Nutrition and Physiology
Papers in
-
- Kruppel-like factors research 2
- Glutathione Transferases and Polymorphisms 2
-
- Animal Virus Infections Studies 6
- Animal Nutrition and Physiology 2
- Co-authors
- Hongquan Li (16 shared papers)Na Sun (15 shared papers)Yaogui Sun (12 shared papers)Jianhua Guo (9 shared papers)Kuohai Fan (11 shared papers)Panpan Sun (10 shared papers)Xiaozhong Zheng (8 shared papers)Shaoyu Wang (4 shared papers)
- Journals
- BMC Veterinary Research (5 papers)Ecotoxicology and Environmental Safety (2 papers)Veterinary Research (2 papers)Research in Veterinary Science (2 papers)Poultry Science (1 paper)
- Partner nations
- ChinaPakistanUnited States
In The Last Decade
Ajab Khan
31 papers receiving 440 citations
Peers
Comparison fields: 5 of 92
- Animal Science and Zoology 95
- Cancer Research 52
- Pharmacology 25
- Immunology 59
- Plant Science 99
Countries citing papers authored by Ajab Khan
This map shows the geographic impact of Ajab Khan'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 Ajab Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajab Khan more than expected).
Fields of papers citing papers by Ajab Khan
This network shows the impact of papers produced by Ajab Khan. 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 Ajab Khan. The network helps show where Ajab Khan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ajab Khan, 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 | 39 | |
| 2 | 2020 | 37 | |
| 3 | 2020 | 36 | |
| 4 | 2019 | 30 | |
| 5 | The pattern of malignant tumours in northern Pakistan. | 1991 | 27 |
| 6 | 2020 | 26 | |
| 7 | 2022 | 24 | |
| 8 | 2020 | 23 | |
| 9 | 2021 | 20 | |
| 10 | 2019 | 17 | |
| 11 | 2020 | 15 | |
| 12 | 2020 | 15 | |
| 13 | 2017 | 14 | |
| 14 | 2021 | 14 | |
| 15 | 2021 | 12 | |
| 16 | 2024 | 12 | |
| 17 | 2020 | 11 | |
| 18 | 2023 | 10 | |
| 19 | 2022 | 9 | |
| 20 | 2020 | 8 |
About Ajab Khan
Ajab Khan is a scholar working on Molecular Biology, Animal Science and Zoology, Infectious Diseases, Immunology and Surgery, having authored 34 papers that have together received 443 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (6 papers), Viral Infections and Immunology Research (3 papers), Viral gastroenteritis research and epidemiology (3 papers), interferon and immune responses (3 papers), Animal Nutrition and Physiology (2 papers), Medicinal Plant Pharmacodynamics Research (2 papers), Kruppel-like factors research (2 papers) and Glutathione Transferases and Polymorphisms (2 papers). The work is most often cited by research in Animal Science and Zoology (95 citations), Cancer Research (52 citations), Pharmacology (25 citations), Immunology (59 citations) and Plant Science (99 citations). Ajab Khan has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Hongquan Li, Na Sun, Yaogui Sun, Jianhua Guo, Kuohai Fan, Panpan Sun, Xiaozhong Zheng, Shaoyu Wang, Atiya Mansoor and Manzoor Ahmad. Their work appears in journals such as BMC Veterinary Research, Ecotoxicology and Environmental Safety, Veterinary Research, Research in Veterinary Science and Poultry Science.
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.