Maya Palnitkar
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Genetics top 10%
- Bacterial Genetics and Biotechnology
Papers in
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- Thyroid Disorders and Treatments 4
- Growth Hormone and Insulin-like Growth Factors 2
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- RNA modifications and cancer 1
- Photosynthetic Processes and Mechanisms 1
- Co-authors
- J. Deisenhofer (6 shared papers)Susan K. Buchanan (2 shared papers)Barbara Smith (2 shared papers)Eva S. Istvan (1 shared paper)Mischa Machius (2 shared papers)Dick Van der Helm (1 shared paper)Ranjan Chakraborty (1 shared paper)Lothar Esser (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Neuroendocrinology (2 papers)PLoS ONE (1 paper)Advances in experimental medicine and biology (1 paper)The EMBO Journal (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Maya Palnitkar
11 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 109
- Molecular Medicine 96
- Genetics 331
- Molecular Biology 738
- Endocrine and Autonomic Systems 66
- Cellular and Molecular Neuroscience 159
Countries citing papers authored by Maya Palnitkar
This map shows the geographic impact of Maya Palnitkar'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 Palnitkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Palnitkar more than expected).
Fields of papers citing papers by Maya Palnitkar
This network shows the impact of papers produced by Maya Palnitkar. 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 Palnitkar. The network helps show where Maya Palnitkar may publish in the future.
Co-authors
The 24 scholars most cited alongside Maya Palnitkar, 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 | 1999 | 512 | |
| 2 | 2000 | 274 | |
| 3 | 2004 | 255 | |
| 4 | 1999 | 87 | |
| 5 | 2010 | 63 | |
| 6 | 1991 | 50 | |
| 7 | 2011 | 49 | |
| 8 | 1991 | 18 | |
| 9 | 1989 | 14 | |
| 10 | 2008 | 8 | |
| 11 | 2008 | 6 |
About Maya Palnitkar
Maya Palnitkar is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cancer Research, Pediatrics, Perinatology and Child Health and Computational Theory and Mathematics, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (4 papers), Birth, Development, and Health (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Enzyme Structure and Function (2 papers), Light effects on plants (1 paper), RNA modifications and cancer (1 paper) and Photosynthetic Processes and Mechanisms (1 paper). The work is most often cited by research in Molecular Medicine (96 citations), Genetics (331 citations), Molecular Biology (738 citations), Endocrine and Autonomic Systems (66 citations) and Cellular and Molecular Neuroscience (159 citations). Maya Palnitkar has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include J. Deisenhofer, Susan K. Buchanan, Barbara Smith, Eva S. Istvan, Mischa Machius, Dick Van der Helm, Ranjan Chakraborty, Lothar Esser, Lalitha Venkatramani and Chad A. Brautigam. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuroendocrinology, PLoS ONE, Advances in experimental medicine and biology and The EMBO Journal.
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.