Maya Srinivas
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- Neuroscience and Neuropharmacology Research 2
- Neurobiology and Insect Physiology Research 2
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- Circadian rhythm and melatonin 3
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- Thyroid Disorders and Treatments 2
- Ophthalmology top 5%
- Molecular Biology top 10%
- Retinal Development and Disorders 6
- Retinoids in leukemia and cellular processes 2
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- Neuroinflammation and Neurodegeneration Mechanisms 2
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- Hearing, Cochlea, Tinnitus, Genetics 1
- Co-authors
- Douglas ForrestLily NgThomas A. RehCarmen SaltóJames B. HurleyBjörn VennströmGabriella Morreale de EscobarArturo Hernández
- Cited by
- Cellular and Molecular NeuroscienceEndocrine and Autonomic SystemsEndocrinology, Diabetes and Metabolism
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Toxicological Sciences (1 paper)Nature Genetics (1 paper)
- Partner nations
- United StatesSwedenIndia
In The Last Decade
Maya Srinivas
12 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 75
- Cellular and Molecular Neuroscience 374
- Endocrine and Autonomic Systems 137
- Endocrinology, Diabetes and Metabolism 337
- Ophthalmology 165
- Molecular Biology 879
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-authorship network
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 | 2018 | 9 | |
| 2 | 2017 | 14 | |
| 3 | 2016 | 11 | |
| 4 | 2010 | 133 | |
| 5 | 2010 | 22 | |
| 6 | 2009 | 108 | |
| 7 | 2008 | 12 | |
| 8 | 2008 | 124 | |
| 9 | 2006 | 213 | |
| 10 | 2006 | 86 | |
| 11 | 2003 | 74 | |
| 12 | 2001 | 439 |
About Maya Srinivas
Maya Srinivas is a scholar working on Endocrine and Autonomic Systems, Sensory Systems, Neurology, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Retinal Development and Disorders (6 papers), Circadian rhythm and melatonin (3 papers), Retinoids in leukemia and cellular processes (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Neurobiology and Insect Physiology Research (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Thyroid Disorders and Treatments (2 papers) and Hearing, Cochlea, Tinnitus, Genetics (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (374 citations), Endocrine and Autonomic Systems (137 citations), Endocrinology, Diabetes and Metabolism (337 citations), Ophthalmology (165 citations) and Molecular Biology (879 citations). Maya Srinivas has collaborated with scholars based in United States, Sweden and India. Frequent co-authors include Douglas Forrest, Lily Ng, Thomas A. Reh, Carmen Saltó, James B. Hurley, Björn Vennström, Gabriella Morreale de Escobar, Arturo Hernández, Michelle Ma and Donald L. St. Germain. Their work appears in journals such as Proceedings of the National Academy of Sciences, Toxicological Sciences, Nature Genetics, Neurochemical Research 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.