V. Stalin Raj
- Infectious Diseases top 0.1%
- Animal Science and Zoology top 0.05%
- Immunology top 2%
- Epidemiology top 2%
- Molecular Biology top 10%
- Co-authors
- Bart L. HaagmansAlbert D. M. E. OsterhausRon A. M. FouchierBerend‐Jan BoschSaskia L. SmitsPeter J. M. RottierHuihui MouJeroen Demmers
- Topics
- SARS-CoV-2 and COVID-19 Research (39 papers)Animal Virus Infections Studies (27 papers)Viral gastroenteritis research and epidemiology (19 papers)
- Partner nations
- NetherlandsIndiaGermany
In The Last Decade
V. Stalin Raj
67 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Infectious Diseases 5.5k
- Animal Science and Zoology 2.4k
- Immunology 1.1k
- Epidemiology 1.1k
- Molecular Biology 1.0k
Countries citing papers authored by V. Stalin Raj
This map shows the geographic impact of V. Stalin Raj'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. Stalin Raj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Stalin Raj more than expected).
Fields of papers citing papers by V. Stalin Raj
This network shows the impact of papers produced by V. Stalin Raj. 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. Stalin Raj. The network helps show where V. Stalin Raj may publish in the future.
Co-authorship network of co-authors of V. Stalin Raj
This figure shows the co-authorship network connecting the top 25 collaborators of V. Stalin Raj. A scholar is included among the top collaborators of V. Stalin Raj 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. Stalin Raj. V. Stalin Raj 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 | 2 | |
| 3 | 4 | |
| 4 | 10 | |
| 5 | 59 | |
| 6 | 15 | |
| 7 | 13 | |
| 8 | 95 | |
| 9 | 74 | |
| 10 | 44 | |
| 11 | 56 | |
| 12 | 12 | |
| 13 | 15 | |
| 14 | 20 | |
| 15 | 160 | |
| 16 | Dipeptidyl peptidase 4 is a functional receptor for the emerging human coronavirus-EMCbreakdown → | 1530 |
| 17 | 11 | |
| 18 | Genomic Characterization of a Newly Discovered Coronavirus Associated with Acute Respiratory Distress Syndrome in Humansbreakdown → | 705 |
| 19 | Effect of Temperature and Salinity on the Infectivity Pattern of White Spot Syndrome Virus (WSSV) in Giant tiger shrimp Penaeus monodon (Fabricius 1837) | 9 |
| 20 | 101 |
About V. Stalin Raj
V. Stalin Raj is a scholar working on Animal Science and Zoology, Infectious Diseases and Modeling and Simulation, having authored 69 papers that have together received 7.4k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (39 papers), Animal Virus Infections Studies (27 papers) and Viral gastroenteritis research and epidemiology (19 papers). The work is most often cited by research in Infectious Diseases (5.5k citations), Animal Science and Zoology (2.4k citations) and Modeling and Simulation (762 citations). V. Stalin Raj has collaborated with scholars based in Netherlands, India and Germany. Frequent co-authors include Bart L. Haagmans, Albert D. M. E. Osterhaus, Ron A. M. Fouchier, Berend‐Jan Bosch, Saskia L. Smits, Peter J. M. Rottier, Huihui Mou, Jeroen Demmers, Theo M. Bestebroer and Christian Drosten. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.