Maya Palnitkar

1.5k total citations
9 papers, 1.3k citations indexed

About

Maya Palnitkar is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Maya Palnitkar has authored 9 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Surgery. Recurrent topics in Maya Palnitkar's work include Thyroid Disorders and Treatments (3 papers), Cholesterol and Lipid Metabolism (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Maya Palnitkar is often cited by papers focused on Thyroid Disorders and Treatments (3 papers), Cholesterol and Lipid Metabolism (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Maya Palnitkar collaborates with scholars based in United States and United Kingdom. Maya Palnitkar's co-authors include J. Deisenhofer, Susan K. Buchanan, Barbara Smith, Eva S. Istvan, Mischa Machius, Lothar Esser, Dick Van der Helm, Lalitha Venkatramani, Ranjan Chakraborty and Chad A. Brautigam and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and PLoS ONE.

In The Last Decade

Maya Palnitkar

9 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maya Palnitkar 715 320 285 157 127 9 1.3k
Theresa M. Kelly 564 0.8× 202 0.6× 67 0.2× 66 0.4× 84 0.7× 23 1.1k
Martin Geiser 1.4k 2.0× 528 1.6× 214 0.8× 158 1.0× 68 0.5× 34 2.0k
Jean‐Pierre Wery 930 1.3× 252 0.8× 107 0.4× 47 0.3× 71 0.6× 29 2.0k
Monika Oberer 2.2k 3.0× 305 1.0× 197 0.7× 69 0.4× 396 3.1× 62 3.6k
Qingping Xu 1.1k 1.5× 291 0.9× 101 0.4× 291 1.9× 84 0.7× 38 1.4k
Uhn‐Soo Cho 1.9k 2.6× 333 1.0× 264 0.9× 51 0.3× 44 0.3× 41 2.5k
André Aumelas 1.7k 2.4× 139 0.4× 240 0.8× 337 2.1× 31 0.2× 103 2.9k
Roberto D. Morero 1.4k 2.0× 283 0.9× 96 0.3× 123 0.8× 79 0.6× 66 2.1k
Hiroh Ikezawa 1.4k 1.9× 200 0.6× 160 0.6× 86 0.5× 93 0.7× 106 2.0k
Claudia Kent 1.7k 2.4× 107 0.3× 128 0.4× 77 0.5× 257 2.0× 51 2.4k

Countries citing papers authored by Maya Palnitkar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Maya Palnitkar

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Palnitkar. A scholar is included among the top collaborators of Maya Palnitkar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maya Palnitkar. Maya Palnitkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Kwon, Hyock Joo, Maya Palnitkar, & J. Deisenhofer. (2011). The Structure of the NPC1L1 N-Terminal Domain in a Closed Conformation. PLoS ONE. 6(4). e18722–e18722. 47 indexed citations
2.
Colbert, Christopher L., Chai-Wan Kim, Young-Ah Moon, et al.. (2010). Crystal structure of Spot 14, a modulator of fatty acid synthesis. Proceedings of the National Academy of Sciences. 107(44). 18820–18825. 61 indexed citations
3.
Brautigam, Chad A., Barbara Smith, Maya Palnitkar, et al.. (2004). Structure of the photolyase-like domain of cryptochrome 1 from Arabidopsis thaliana. Proceedings of the National Academy of Sciences. 101(33). 12142–12147. 249 indexed citations
4.
Istvan, Eva S., Maya Palnitkar, Susan K. Buchanan, & J. Deisenhofer. (2000). Crystal structure of the catalytic portion of human HMG-CoA reductase: insights into regulation of activity and catalysis. The EMBO Journal. 19(5). 819–830. 257 indexed citations
5.
Deisenhofer, J., Susan K. Buchanan, Barbara Smith, et al.. (1999). Crystal structure of the outer membrane active transporter FepA from Escherichia coli.. Nature Structural Biology. 6(1). 56–63. 473 indexed citations
6.
Machius, Mischa, Lisa Henry, Maya Palnitkar, & J. Deisenhofer. (1999). Crystal structure of the DNA nucleotide excision repair enzyme UvrB from Thermus thermophilus. Proceedings of the National Academy of Sciences. 96(21). 11717–11722. 86 indexed citations
7.
8.
Stein, Stuart A., Perrie M. Adams, Douglas R. Shanklin, Gregory A. Mihailoff, & Maya Palnitkar. (1991). Thyroid Hormone Control of Brain and Motor Development: Molecular, Neuroanatomical, and Behavioral Studies. Advances in experimental medicine and biology. 299. 47–105. 47 indexed citations
9.
Adams, Perrie M., et al.. (1989). Evaluation and Characterization of the Hypothyroid <i>hyt/hyt </i>Mouse I: Somatic and Behavioral Studies. Neuroendocrinology. 49(2). 138–143. 31 indexed citations

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.

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