V. M. Vaidya
- Food Science top 5%
- Parasitology top 5%
- Biotechnology top 5%
- Infectious Diseases
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- S.V.S. MalikSukhadeo B. BarbuddheSimranpreet KaurSavneet KaurR. J. ZendeA. M. PaturkarSatish KumarS. B. Barbuddhe
- Topics
- Salmonella and Campylobacter epidemiology (8 papers)Listeria monocytogenes in Food Safety (8 papers)Meat and Animal Product Quality (7 papers)
In The Last Decade
V. M. Vaidya
29 papers receiving 339 citations
Peers
Comparison fields: 5 of 54
- Food Science 170
- Parasitology 135
- Biotechnology 129
- Infectious Diseases 111
- Ecology, Evolution, Behavior and Systematics 74
Countries citing papers authored by V. M. Vaidya
This map shows the geographic impact of V. M. Vaidya'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 V. M. Vaidya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. M. Vaidya more than expected).
Fields of papers citing papers by V. M. Vaidya
This network shows the impact of papers produced by V. M. Vaidya. 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 V. M. Vaidya. The network helps show where V. M. Vaidya may publish in the future.
Co-authorship network of co-authors of V. M. Vaidya
This figure shows the co-authorship network connecting the top 25 collaborators of V. M. Vaidya. A scholar is included among the top collaborators of V. M. Vaidya 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 V. M. Vaidya. V. M. Vaidya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 14 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | Isolation and characterization of Listeria species from raw and processed meats. | 5 |
| 10 | 3 | |
| 11 | 24 | |
| 12 | 66 | |
| 13 | Comparative effect of organic acids and salts on some important microorganisms inoculated in goat meat stored at refrigeration temperature. | 1 |
| 14 | Prevalence and rapid detection of shiga toxin producing E. coli (STEC) in water and ready-to-eat (RTE) foods. | 3 |
| 15 | 89 | |
| 16 | Analysis of sources of contamination in organized poultry slaughterhouse | 2 |
| 17 | Serological diagnosis of Listeria monocytogenes infection in women with spontaneous abortions | 5 |
| 18 | 22 | |
| 19 | Prevalence of Listeria spp. in mutton and chevon. | 2 |
| 20 | 5 |
About V. M. Vaidya
V. M. Vaidya is a scholar working on Biotechnology, Food Science and Animal Science and Zoology, having authored 31 papers that have together received 381 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (8 papers), Listeria monocytogenes in Food Safety (8 papers) and Meat and Animal Product Quality (7 papers). The work is most often cited by research in Parasitology (135 citations), Biotechnology (129 citations) and Food Science (170 citations). V. M. Vaidya has collaborated with scholars based in India and Germany. Frequent co-authors include S.V.S. Malik, Sukhadeo B. Barbuddhe, Simranpreet Kaur, Savneet Kaur, R. J. Zende, A. M. Paturkar, Satish Kumar, S. B. Barbuddhe, K. N. Bhilegaonkar and R. Rathore. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Applied Microbiology and LWT.
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.