Anil Patyal
- Food Science top 10%
- Plant Science
- Molecular Biology
- Endocrinology top 10%
- Pollution
- Co-authors
- R. RathoreKuldeep DhamaAshok KumarRabinder Singh AulakhJasbir Singh BediJatinder Paul Singh GillAtul KumarChandrahas Sannat
- Topics
- Salmonella and Campylobacter epidemiology (8 papers)Mycotoxins in Agriculture and Food (7 papers)Antibiotic Resistance in Bacteria (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Science and Pollution ResearchFood Control
- Partner nations
- India
In The Last Decade
Anil Patyal
26 papers receiving 291 citations
Peers
Comparison fields: 5 of 50
- Food Science 139
- Plant Science 78
- Molecular Biology 67
- Endocrinology 53
- Pollution 40
Countries citing papers authored by Anil Patyal
This map shows the geographic impact of Anil Patyal'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 Anil Patyal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anil Patyal more than expected).
Fields of papers citing papers by Anil Patyal
This network shows the impact of papers produced by Anil Patyal. 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 Anil Patyal. The network helps show where Anil Patyal may publish in the future.
Co-authorship network of co-authors of Anil Patyal
This figure shows the co-authorship network connecting the top 25 collaborators of Anil Patyal. A scholar is included among the top collaborators of Anil Patyal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anil Patyal. Anil Patyal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 21 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 17 | |
| 7 | 13 | |
| 8 | 9 | |
| 9 | 3 | |
| 10 | IMPACTS OF INTENSIVE POULTRY FARMING ON ‘ONE HEALTH’ IN DEVELOPING COUNTRIES: CHALLENGES AND REMEDIES | 5 |
| 11 | Mitigating the Health Risks of Mycotoxins: Concerns and Solutions Vis‐À‐Vis Food Web - | 2 |
| 12 | 17 | |
| 13 | 15 | |
| 14 | 31 | |
| 15 | 29 | |
| 16 | 3 | |
| 17 | 2 | |
| 18 | Bacteriological quality of market chicken meat in Jaipur city. | 5 |
| 19 | 36 | |
| 20 | 61 |
About Anil Patyal
Anil Patyal is a scholar working on Molecular Medicine, Endocrinology and Food Science, having authored 27 papers that have together received 306 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (8 papers), Mycotoxins in Agriculture and Food (7 papers) and Antibiotic Resistance in Bacteria (6 papers). The work is most often cited by research in Endocrinology (53 citations), Applied Microbiology and Biotechnology (16 citations) and Molecular Medicine (39 citations). Anil Patyal has collaborated with scholars based in India. Frequent co-authors include R. Rathore, Kuldeep Dhama, Ashok Kumar, Rabinder Singh Aulakh, Jasbir Singh Bedi, Jatinder Paul Singh Gill, Atul Kumar, Chandrahas Sannat, Vinod Kumar and Kusum Mathur. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science and Pollution Research and Food Control.
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.