V. Stalin Raj
- Infectious Diseases top 0.1%
- SARS-CoV-2 and COVID-19 Research 39
- Viral gastroenteritis research and epidemiology 19
- COVID-19 Clinical Research Studies 7
- Animal Science and Zoology top 0.05%
- Animal Virus Infections Studies 27
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies 6
- Immunology top 2%
- Aquaculture disease management and microbiota 15
- Invertebrate Immune Response Mechanisms 9
- Epidemiology top 2%
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- Hepatitis C virus research 6
- Co-authors
- Bart L. HaagmansAlbert D. M. E. OsterhausRon A. M. FouchierBerend‐Jan BoschSaskia L. SmitsPeter J. M. RottierHuihui MouJeroen Demmers
- Journals
- Nature (1 paper)Science (1 paper)Proceedings of the National Academy of Sciences (2 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
- Modeling and Simulation 762
- Immunology 1.1k
- Epidemiology 1.1k
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
The 25 scholars most cited alongside V. Stalin Raj, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 2 | |
| 3 | 2021 | 4 | |
| 4 | 2021 | 10 | |
| 5 | 2018 | 59 | |
| 6 | 2017 | 15 | |
| 7 | 2017 | 13 | |
| 8 | 2016 | 95 | |
| 9 | 2016 | 74 | |
| 10 | 2016 | 44 | |
| 11 | 2016 | 56 | |
| 12 | 2015 | 12 | |
| 13 | 2014 | 15 | |
| 14 | 2014 | 20 | |
| 15 | 2014 | 160 | |
| 16 | Dipeptidyl peptidase 4 is a functional receptor for the emerging human coronavirus-EMCbreakdown → | 2013 | 1530 |
| 17 | 2013 | 11 | |
| 18 | Genomic Characterization of a Newly Discovered Coronavirus Associated with Acute Respiratory Distress Syndrome in Humansbreakdown → | 2012 | 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) | 2012 | 9 |
| 20 | 2011 | 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), Viral gastroenteritis research and epidemiology (19 papers), Aquaculture disease management and microbiota (15 papers), Invertebrate Immune Response Mechanisms (9 papers), COVID-19 Clinical Research Studies (7 papers), COVID-19 epidemiological studies (6 papers) and Hepatitis C virus research (6 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.