Satheesh Nair
- Food Science top 0.1%
- Endocrinology top 0.2%
- Molecular Medicine top 0.2%
- Molecular Biology top 10%
- Ecology top 2%
- Co-authors
- John WainGordon DouganPhilip AshtonC. S. PitchumoniFrançois‐Xavier WeillTimothy J. DallmanElizabeth de PinnaDhiraj Yadav
- Topics
- Salmonella and Campylobacter epidemiology (59 papers)Vibrio bacteria research studies (30 papers)Antibiotic Resistance in Bacteria (30 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Satheesh Nair
84 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Food Science 2.5k
- Endocrinology 1.5k
- Molecular Medicine 1.2k
- Molecular Biology 1.1k
- Ecology 867
Countries citing papers authored by Satheesh Nair
This map shows the geographic impact of Satheesh Nair'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 Satheesh Nair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satheesh Nair more than expected).
Fields of papers citing papers by Satheesh Nair
This network shows the impact of papers produced by Satheesh Nair. 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 Satheesh Nair. The network helps show where Satheesh Nair may publish in the future.
Co-authorship network of co-authors of Satheesh Nair
This figure shows the co-authorship network connecting the top 25 collaborators of Satheesh Nair. A scholar is included among the top collaborators of Satheesh Nair 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 Satheesh Nair. Satheesh Nair is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 16 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 16 | |
| 6 | 31 | |
| 7 | 68 | |
| 8 | 38 | |
| 9 | 54 | |
| 10 | Emergence of an Extensively Drug-Resistant Salmonella enterica Serovar Typhi Clone Harboring a Promiscuous Plasmid Encoding Resistance to Fluoroquinolones and Third-Generation Cephalosporinsbreakdown → | 433 |
| 11 | 120 | |
| 12 | 29 | |
| 13 | 4 | |
| 14 | 335 | |
| 15 | 4 | |
| 16 | Multilocus Sequence Typing as a Replacement for Serotyping in Salmonella entericabreakdown → | 499 |
| 17 | MOLECULAR AND EPIDEMIOLOGICAL ANALYSIS OF MULTIDRUG-RESISTANT SALMONELLA PARATYPHI A OBTAINED FROM DIFFERENT REGIONS OF PAKISTAN | 1 |
| 18 | 108 | |
| 19 | 40 | |
| 20 | 13 |
About Satheesh Nair
Satheesh Nair is a scholar working on Endocrinology, Molecular Medicine and Food Science, having authored 89 papers that have together received 4.5k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (59 papers), Vibrio bacteria research studies (30 papers) and Antibiotic Resistance in Bacteria (30 papers). The work is most often cited by research in Endocrinology (1.5k citations), Molecular Medicine (1.2k citations) and Food Science (2.5k citations). Satheesh Nair has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include John Wain, Gordon Dougan, Philip Ashton, C. S. Pitchumoni, François‐Xavier Weill, Timothy J. Dallman, Elizabeth de Pinna, Dhiraj Yadav, Mark Achtman and Zhemin Zhou. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Biotechnology.
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.