S. Jagadish
Impact in
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- Genetic Neurodegenerative Diseases
- Neurobiology and Insect Physiology Research
- Aging top 10%
Papers in
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- Genetic Neurodegenerative Diseases 2
- Neurobiology and Insect Physiology Research 2
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- Fungal and yeast genetics research 2
- Mitochondrial Function and Pathology 2
- Co-authors
- Susan Lindquist (2 shared papers)Paul J. Muchowski (2 shared papers)Martin L. Duennwald (2 shared papers)Richard Axel (3 shared papers)Gilad Barnea (3 shared papers)Flaviano Giorgini (1 shared paper)Hiroshi Ishimoto (1 shared paper)Toshihiro Kitamoto (2 shared papers)
- Journals
- Cell (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Veterinary Pharmacology and Therapeutics (1 paper)JCI Insight (1 paper)Neuron (1 paper)
- Partner nations
- United StatesFranceIndia
In The Last Decade
S. Jagadish
10 papers receiving 661 citations
Peers
Comparison fields: 5 of 58
- Cellular and Molecular Neuroscience 499
- Aging 26
- Endocrine and Autonomic Systems 51
- Molecular Biology 418
- Neurology 80
Countries citing papers authored by S. Jagadish
This map shows the geographic impact of S. Jagadish'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. Jagadish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Jagadish more than expected).
Fields of papers citing papers by S. Jagadish
This network shows the impact of papers produced by S. Jagadish. 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. Jagadish. The network helps show where S. Jagadish may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Jagadish, 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 | 2006 | 238 | |
| 2 | 2012 | 223 | |
| 3 | 2006 | 132 | |
| 4 | 2014 | 34 | |
| 5 | 2020 | 24 | |
| 6 | Antibiogram and treatment of bovine sub-clinical mastitis. | 2000 | 10 |
| 7 | 1990 | 7 | |
| 8 | Evaluation of some byre-side tests in bovine sub-clinical mastitis. | 2000 | 5 |
| 9 | 2012 | 4 | |
| 10 | Neonatal calf diarrhoea : serotyping of E.coli isolates. | 2000 | 1 |
| 11 | Immunization against bovine tropical theileriosis, using 60Co-irradiated infective particles of Theileria annulata (Dschunkowsky and Luhs 1904) derived from ticks. | 1979 | 1 |
About S. Jagadish
S. Jagadish is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Small Animals, Endocrine and Autonomic Systems and Agronomy and Crop Science, having authored 11 papers that have together received 679 indexed citations. Recurring topics across this work include Insect and Pesticide Research (2 papers), Fungal and yeast genetics research (2 papers), Genetic Neurodegenerative Diseases (2 papers), Mitochondrial Function and Pathology (2 papers), Circadian rhythm and melatonin (2 papers), Milk Quality and Mastitis in Dairy Cows (2 papers), Neurobiology and Insect Physiology Research (2 papers) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (499 citations), Aging (26 citations), Endocrine and Autonomic Systems (51 citations), Molecular Biology (418 citations) and Neurology (80 citations). S. Jagadish has collaborated with scholars based in United States, France and India. Frequent co-authors include Susan Lindquist, Paul J. Muchowski, Martin L. Duennwald, Richard Axel, Gilad Barnea, Flaviano Giorgini, Hiroshi Ishimoto, Toshihiro Kitamoto, H. Inagaki and David J. Anderson. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences, Journal of Veterinary Pharmacology and Therapeutics, JCI Insight and Neuron.
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.