Rajat Sharma
- Parasitology top 5%
- Ecology, Evolution, Behavior and Systematics top 10%
- Plant Science
- Insect Science top 10%
- Agronomy and Crop Science top 10%
- Co-authors
- Anil NichaniAnju ManujaMukesh KumarNeeraj KhatriVikram SinghC.G.D. BrownShikha YashveerN. K. Kakker
- Topics
- Animal Disease Management and Epidemiology (8 papers)Vector-Borne Animal Diseases (8 papers)Vector-borne infectious diseases (7 papers)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Rajat Sharma
29 papers receiving 247 citations
Peers
Comparison fields: 5 of 56
- Parasitology 105
- Ecology, Evolution, Behavior and Systematics 92
- Plant Science 87
- Insect Science 62
- Agronomy and Crop Science 53
Countries citing papers authored by Rajat Sharma
This map shows the geographic impact of Rajat Sharma'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 Rajat Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajat Sharma more than expected).
Fields of papers citing papers by Rajat Sharma
This network shows the impact of papers produced by Rajat Sharma. 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 Rajat Sharma. The network helps show where Rajat Sharma may publish in the future.
Co-authorship network of co-authors of Rajat Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Rajat Sharma. A scholar is included among the top collaborators of Rajat Sharma 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 Rajat Sharma. Rajat Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 30 | |
| 5 | 0 | |
| 6 | Detection of anti-non structural protein antibodies against foot-and-mouth disease virus in the bovine population of Haryana during FMD control programme in the year 2012. | 2 |
| 7 | Epidemiological studies on foot and mouth disease outbreaks in Haryana during the years 2009 and 2010. | 1 |
| 8 | 12 | |
| 9 | 21 | |
| 10 | 16 | |
| 11 | 26 | |
| 12 | 13 | |
| 13 | 13 | |
| 14 | 7 | |
| 15 | A fixed cell ELISA for detecting antibodies against Theileria annulata | 2 |
| 16 | 3 | |
| 17 | 25 | |
| 18 | 3 | |
| 19 | 6 | |
| 20 | Enhancement of Earth Resources Technology Satellite /ERTS/ and aircraft imagery using atmospheric corrections. | 2 |
About Rajat Sharma
Rajat Sharma is a scholar working on Parasitology, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics, having authored 34 papers that have together received 270 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (8 papers), Vector-Borne Animal Diseases (8 papers) and Vector-borne infectious diseases (7 papers). The work is most often cited by research in Parasitology (105 citations), Agronomy and Crop Science (53 citations) and Insect Science (62 citations). Rajat Sharma has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Anil Nichani, Anju Manuja, Mukesh Kumar, Neeraj Khatri, Vikram Singh, C.G.D. Brown, Shikha Yashveer, N. K. Kakker, Shikha Yadav and Rajesh Chhabra. Their work appears in journals such as Scientific Reports, Theoretical and Applied Genetics and Sustainability.
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.