Maya Srinivas
Impact in
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- Thyroid Disorders and Treatments
- Growth Hormone and Insulin-like Growth Factors
Papers in
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- Retinal Development and Disorders 6
- Retinoids in leukemia and cellular processes 2
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- Neuroscience and Neuropharmacology Research 2
- Neurobiology and Insect Physiology Research 2
- Co-authors
- Douglas Forrest (7 shared papers)Lily Ng (6 shared papers)Thomas A. Reh (2 shared papers)Carmen Saltó (1 shared paper)Björn Vennström (1 shared paper)James B. Hurley (1 shared paper)Gabriella Morreale de Escobar (1 shared paper)Michelle Ma (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Thyroid (1 paper)Neurochemical Research (1 paper)Toxicological Sciences (1 paper)Endocrinology (1 paper)
- Partner nations
- United StatesIndiaSpain
In The Last Decade
Maya Srinivas
12 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 78
- Endocrinology, Diabetes and Metabolism 327
- Endocrine and Autonomic Systems 125
- Cellular and Molecular Neuroscience 346
- Ophthalmology 139
- Molecular Biology 847
Countries citing papers authored by Maya Srinivas
This map shows the geographic impact of Maya Srinivas'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 Maya Srinivas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Srinivas more than expected).
Fields of papers citing papers by Maya Srinivas
This network shows the impact of papers produced by Maya Srinivas. 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 Maya Srinivas. The network helps show where Maya Srinivas may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Srinivas, 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 | 2001 | 444 | |
| 2 | 2006 | 217 | |
| 3 | 2010 | 137 | |
| 4 | 2008 | 125 | |
| 5 | 2009 | 110 | |
| 6 | 2006 | 87 | |
| 7 | 2003 | 76 | |
| 8 | 2010 | 22 | |
| 9 | 2017 | 14 | |
| 10 | 2018 | 11 | |
| 11 | 2016 | 11 | |
| 12 | 2023 | 1 | |
| 13 | 2022 | 1 | |
| 14 | 2024 | 0 |
About Maya Srinivas
Maya Srinivas is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism and Oncology, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Retinal Development and Disorders (6 papers), Circadian rhythm and melatonin (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Retinoids in leukemia and cellular processes (2 papers), Thyroid Disorders and Treatments (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (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 Endocrinology, Diabetes and Metabolism (327 citations), Endocrine and Autonomic Systems (125 citations), Cellular and Molecular Neuroscience (346 citations), Ophthalmology (139 citations) and Molecular Biology (847 citations). Maya Srinivas has collaborated with scholars based in United States, India and Spain. Frequent co-authors include Douglas Forrest, Lily Ng, Thomas A. Reh, Carmen Saltó, Björn Vennström, James B. Hurley, Gabriella Morreale de Escobar, Michelle Ma, Arturo Hernández and Donald L. St. Germain. Their work appears in journals such as Proceedings of the National Academy of Sciences, Thyroid, Neurochemical Research, Toxicological Sciences and Endocrinology.
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.