Fatima M. Nathan

14 total papers · 454 total citations
9 papers, 329 citations indexed

About

Fatima M. Nathan is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Social Psychology. According to data from OpenAlex, Fatima M. Nathan has authored 9 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 3 papers in Social Psychology. Recurrent topics in Fatima M. Nathan's work include Hypothalamic control of reproductive hormones (3 papers), Neuroendocrine regulation and behavior (3 papers) and Neuropeptides and Animal Physiology (3 papers). Fatima M. Nathan is often cited by papers focused on Hypothalamic control of reproductive hormones (3 papers), Neuroendocrine regulation and behavior (3 papers) and Neuropeptides and Animal Physiology (3 papers). Fatima M. Nathan collaborates with scholars based in Malaysia, United States and Japan. Fatima M. Nathan's co-authors include Ishwar S. Parhar, Satoshi Ogawa, Shuxin Li, Amreeta Dhanoa, Vivek Ajit Singh, Uma Devi Palanisamy, Yosuke Ohtake, Shuxin Li, Shuo Wang and Hua Guo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Endocrinology and Journal of Neurochemistry.

In The Last Decade

Fatima M. Nathan

9 papers receiving 325 citations

Author Peers

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

Author Last Decade Papers Cites
Fatima M. Nathan 124 116 112 73 59 9 329
Roberta Schellino 115 0.9× 50 0.4× 98 0.9× 22 0.3× 64 1.1× 15 353
Haruka Imada 105 0.8× 26 0.2× 53 0.5× 40 0.5× 55 0.9× 9 313
Lynn Yi 191 1.5× 29 0.3× 50 0.4× 12 0.2× 51 0.9× 10 358
Danielle T. Porter 97 0.8× 174 1.5× 47 0.4× 12 0.2× 56 0.9× 8 352
Jeremy P. Grierson 133 1.1× 50 0.4× 128 1.1× 59 0.8× 49 0.8× 9 364
Jessie I. Luoma 170 1.4× 42 0.4× 138 1.2× 29 0.4× 31 0.5× 8 364
Peter Ekstr√∂m 98 0.8× 45 0.4× 202 1.8× 56 0.8× 18 0.3× 13 337
Laura Domínguez 134 1.1× 13 0.1× 66 0.6× 100 1.4× 34 0.6× 15 294
R. Glenn Northcutt 77 0.6× 10 0.1× 79 0.7× 80 1.1× 39 0.7× 5 299
Inyoung Jeong 78 0.6× 32 0.3× 73 0.7× 75 1.0× 22 0.4× 17 259

Countries citing papers authored by Fatima M. Nathan

Since Specialization
Citations

This map shows the geographic impact of Fatima M. Nathan'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 Fatima M. Nathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fatima M. Nathan more than expected).

Fields of papers citing papers by Fatima M. Nathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fatima M. Nathan. 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 Fatima M. Nathan. The network helps show where Fatima M. Nathan may publish in the future.

Co-authorship network of co-authors of Fatima M. Nathan

This figure shows the co-authorship network connecting the top 25 collaborators of Fatima M. Nathan. A scholar is included among the top collaborators of Fatima M. Nathan 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 Fatima M. Nathan. Fatima M. Nathan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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