Mohit Bansal
- Molecular Biology
- Food Science top 10%
- Infectious Diseases
- Animal Science and Zoology top 10%
- Biotechnology top 10%
- Co-authors
- Ramakrishna NannapaneniXiaolun SunA.S. KiessChander Shekhar SharmaBilly M. HargisAnamika GuptaYing FuNitin Dhowlaghar
- Topics
- Clostridium difficile and Clostridium perfringens research (7 papers)Salmonella and Campylobacter epidemiology (5 papers)Animal Nutrition and Physiology (5 papers)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Mohit Bansal
25 papers receiving 321 citations
Peers
Comparison fields: 5 of 55
- Molecular Biology 121
- Food Science 104
- Infectious Diseases 95
- Animal Science and Zoology 81
- Biotechnology 59
Countries citing papers authored by Mohit Bansal
This map shows the geographic impact of Mohit Bansal'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 Mohit Bansal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohit Bansal more than expected).
Fields of papers citing papers by Mohit Bansal
This network shows the impact of papers produced by Mohit Bansal. 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 Mohit Bansal. The network helps show where Mohit Bansal may publish in the future.
Co-authorship network of co-authors of Mohit Bansal
This figure shows the co-authorship network connecting the top 25 collaborators of Mohit Bansal. A scholar is included among the top collaborators of Mohit Bansal 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 Mohit Bansal. Mohit Bansal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 11 | |
| 3 | 9 | |
| 4 | 26 | |
| 5 | 0 | |
| 6 | 28 | |
| 7 | 22 | |
| 8 | 5 | |
| 9 | 20 | |
| 10 | 32 | |
| 11 | 14 | |
| 12 | 25 | |
| 13 | 22 | |
| 14 | 35 | |
| 15 | Use of purified soluble antigens of sheep pox-virus in serodiagnosis* | 4 |
| 16 | Observations on cellular response in experimentally sheep-pox-infected lambs | 2 |
| 17 | Isolation and characterization of soluble antigens of sheep poxvirus. | 5 |
| 18 | 2 | |
| 19 | Comparative sensitivity of p25 and glycoprotein antigens of bovine leukemia virus to detect antibodies in calves and lambs. | 3 |
| 20 | Detection of antibodies of bovine syncytial virus among cattle and buffaloes in India. | 4 |
About Mohit Bansal
Mohit Bansal is a scholar working on Animal Science and Zoology, Food Science and Infectious Diseases, having authored 26 papers that have together received 329 indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (7 papers), Salmonella and Campylobacter epidemiology (5 papers) and Animal Nutrition and Physiology (5 papers). The work is most often cited by research in Animal Science and Zoology (81 citations), Biotechnology (59 citations) and Food Science (104 citations). Mohit Bansal has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Ramakrishna Nannapaneni, Xiaolun Sun, A.S. Kiess, Chander Shekhar Sharma, Billy M. Hargis, Anamika Gupta, Ying Fu, Nitin Dhowlaghar, Rohana Liyanage and Hong Wang. Their work appears in journals such as PLoS ONE, Cancer Research and Scientific Reports.
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.