Vijaya Kumar Deekshit
- Molecular Medicine top 2%
- Infectious Diseases top 10%
- Molecular Biology
- Endocrinology top 5%
- Food Science top 10%
- Co-authors
- Indrani KarunasagarIddya KarunasagarPraveen RaiBallamoole Krishna KumarShabarinath SrikumarAnusha RohitJuliet Roshini Mohan RajBiswajit Maiti
- Topics
- Antibiotic Resistance in Bacteria (22 papers)Salmonella and Campylobacter epidemiology (11 papers)Vibrio bacteria research studies (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Microbiology and BiotechnologyAquaculture
- Partner nations
- IndiaNetherlandsItaly
In The Last Decade
Vijaya Kumar Deekshit
40 papers receiving 684 citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Medicine 225
- Infectious Diseases 171
- Molecular Biology 166
- Endocrinology 152
- Food Science 142
Countries citing papers authored by Vijaya Kumar Deekshit
This map shows the geographic impact of Vijaya Kumar Deekshit'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 Vijaya Kumar Deekshit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vijaya Kumar Deekshit more than expected).
Fields of papers citing papers by Vijaya Kumar Deekshit
This network shows the impact of papers produced by Vijaya Kumar Deekshit. 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 Vijaya Kumar Deekshit. The network helps show where Vijaya Kumar Deekshit may publish in the future.
Co-authorship network of co-authors of Vijaya Kumar Deekshit
This figure shows the co-authorship network connecting the top 25 collaborators of Vijaya Kumar Deekshit. A scholar is included among the top collaborators of Vijaya Kumar Deekshit 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 Vijaya Kumar Deekshit. Vijaya Kumar Deekshit 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 | 8 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 16 | |
| 6 | 25 | |
| 7 | 4 | |
| 8 | 19 | |
| 9 | 1 | |
| 10 | 18 | |
| 11 | 10 | |
| 12 | 2 | |
| 13 | 9 | |
| 14 | 23 | |
| 15 | 9 | |
| 16 | 9 | |
| 17 | 7 | |
| 18 | 3 | |
| 19 | 2 | |
| 20 | 64 |
About Vijaya Kumar Deekshit
Vijaya Kumar Deekshit is a scholar working on Molecular Medicine, Endocrinology and Pollution, having authored 42 papers that have together received 691 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (22 papers), Salmonella and Campylobacter epidemiology (11 papers) and Vibrio bacteria research studies (11 papers). The work is most often cited by research in Molecular Medicine (225 citations), Endocrinology (152 citations) and Infectious Diseases (171 citations). Vijaya Kumar Deekshit has collaborated with scholars based in India, Netherlands and Italy. Frequent co-authors include Indrani Karunasagar, Iddya Karunasagar, Praveen Rai, Ballamoole Krishna Kumar, Shabarinath Srikumar, Anusha Rohit, Juliet Roshini Mohan Raj, Biswajit Maiti, Anirban Chakraborty and Indrani Karunasagar. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Microbiology and Biotechnology and Aquaculture.
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.