S Garg
Impact in
- Endocrinology top 0.5%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Immunology top 10%
- Aquaculture disease management and microbiota
Papers in
-
- Vibrio bacteria research studies 9
-
- Aquaculture disease management and microbiota 7
- Co-authors
- G. Balakrish Nair (6 shared papers)Youhei Takeda (5 shared papers)Sujit Bhattacharya (4 shared papers)Ashish Mukhopadhyay (3 shared papers)J. Okuda (2 shared papers)Mitsuaki Nishibuchi (1 shared paper)T Nishino (1 shared paper)Masanori Ishibashi (1 shared paper)
- Journals
- Journal of Clinical Microbiology (4 papers)Epidemiology and Infection (2 papers)Endoscopy (1 paper)Acta Ophthalmologica (1 paper)Archives of Disease in Childhood (1 paper)
- Partner nations
- IndiaUnited StatesJapan
In The Last Decade
S Garg
17 papers receiving 587 citations
Peers
Comparison fields: 5 of 65
- Endocrinology 531
- Immunology 327
- Food Science 267
- Molecular Medicine 66
- Nutrition and Dietetics 44
Countries citing papers authored by S Garg
This map shows the geographic impact of S Garg'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 S Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Garg more than expected).
Fields of papers citing papers by S Garg
This network shows the impact of papers produced by S Garg. 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 S Garg. The network helps show where S Garg may publish in the future.
Co-authors
The 25 scholars most cited alongside S Garg, 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 | 1997 | 318 | |
| 2 | 1996 | 84 | |
| 3 | 1995 | 38 | |
| 4 | 1994 | 37 | |
| 5 | 1995 | 33 | |
| 6 | 1995 | 25 | |
| 7 | Telephone mouthpiece as a possible source of hospital infection. | 1998 | 22 |
| 8 | 2006 | 20 | |
| 9 | 1988 | 19 | |
| 10 | Outbreak of cholera due to Vibrio cholerae 01 in Orissa state. | 1994 | 9 |
| 11 | 1994 | 8 | |
| 12 | Comparative analysis of factors promoting optimal production of cholera toxin by Vibrio cholerae O1 (classical & E1Tor biotypes) & O139. | 1996 | 6 |
| 13 | 2024 | 2 | |
| 14 | 2016 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2024 | 1 |
About S Garg
S Garg is a scholar working on Endocrinology, Immunology, Food Science, Infectious Diseases and Surgery, having authored 17 papers that have together received 626 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (9 papers), Aquaculture disease management and microbiota (7 papers), Salmonella and Campylobacter epidemiology (5 papers), Ophthalmology and Visual Impairment Studies (1 paper), Healthcare professionals’ stress and burnout (1 paper), Surgical site infection prevention (1 paper), Disaster Response and Management (1 paper) and Amoebic Infections and Treatments (1 paper). The work is most often cited by research in Endocrinology (531 citations), Immunology (327 citations), Food Science (267 citations), Molecular Medicine (66 citations) and Nutrition and Dietetics (44 citations). S Garg has collaborated with scholars based in India, United States and Japan. Frequent co-authors include G. Balakrish Nair, Youhei Takeda, Sujit Bhattacharya, Ashish Mukhopadhyay, J. Okuda, Mitsuaki Nishibuchi, T Nishino, Masanori Ishibashi, Eriko Hayakawa and Takenobu Shimada. Their work appears in journals such as Journal of Clinical Microbiology, Epidemiology and Infection, Endoscopy, Acta Ophthalmologica and Archives of Disease in Childhood.
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.