Sunil K. Mor
- Animal Science and Zoology top 0.5%
- Animal Virus Infections Studies 70
- Infectious Diseases top 2%
- Viral gastroenteritis research and epidemiology 61
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology 13
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- Viral Infections and Immunology Research 37
- Microbiology top 10%
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- Virus-based gene therapy research 15
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- Aquaculture disease management and microbiota 9
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- Virology and Viral Diseases 7
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- Plant Virus Research Studies 7
- Co-authors
- Sagar M. GoyalNicholas B. D. PhelpsRobert E. PorterTamer A. SharafeldinHarsha VermaDevi P. PatnayakNaresh JindalAníbal G. Armién
- Journals
- Avian Diseases (9 papers)Archives of Virology (7 papers)Frontiers in Veterinary Science (6 papers)
- Partner nations
- United StatesEgyptIndia
In The Last Decade
Sunil K. Mor
100 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 83
- Animal Science and Zoology 677
- Infectious Diseases 701
- Agronomy and Crop Science 160
- Cardiology and Cardiovascular Medicine 350
- Microbiology 61
Countries citing papers authored by Sunil K. Mor
This map shows the geographic impact of Sunil K. Mor'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 Sunil K. Mor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil K. Mor more than expected).
Fields of papers citing papers by Sunil K. Mor
This network shows the impact of papers produced by Sunil K. Mor. 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 Sunil K. Mor. The network helps show where Sunil K. Mor may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sunil K. Mor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 10 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 2 | |
| 12 | 2021 | 8 | |
| 13 | 2021 | 8 | |
| 14 | 2021 | 15 | |
| 15 | 2020 | 3 | |
| 16 | 2020 | 17 | |
| 17 | 2019 | 7 | |
| 18 | 2019 | 27 | |
| 19 | 2017 | 9 | |
| 20 | 2015 | 18 |
About Sunil K. Mor
Sunil K. Mor is a scholar working on Animal Science and Zoology, Infectious Diseases, Cardiology and Cardiovascular Medicine, Agronomy and Crop Science and Microbiology, having authored 104 papers that have together received 1.2k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (70 papers), Viral gastroenteritis research and epidemiology (61 papers), Viral Infections and Immunology Research (37 papers), Virus-based gene therapy research (15 papers), Animal Disease Management and Epidemiology (13 papers), Aquaculture disease management and microbiota (9 papers), Virology and Viral Diseases (7 papers) and Plant Virus Research Studies (7 papers). The work is most often cited by research in Animal Science and Zoology (677 citations), Infectious Diseases (701 citations), Agronomy and Crop Science (160 citations), Cardiology and Cardiovascular Medicine (350 citations) and Microbiology (61 citations). Sunil K. Mor has collaborated with scholars based in United States, Egypt and India. Frequent co-authors include Sagar M. Goyal, Nicholas B. D. Phelps, Robert E. Porter, Tamer A. Sharafeldin, Harsha Verma, Devi P. Patnayak, Naresh Jindal, Aníbal G. Armién, Aschalew Z. Bekele and Shimaa M. G. Mansour. Their work appears in journals such as Avian Diseases, Archives of Virology, Frontiers in Veterinary Science, PLoS ONE 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.