Jeffrey L. Pitman

8 total papers · 483 total citations
8 papers, 380 citations indexed

About

Jeffrey L. Pitman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Jeffrey L. Pitman has authored 8 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Genetics. Recurrent topics in Jeffrey L. Pitman's work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Nuclear Receptors and Signaling (2 papers) and Neurobiology and Insect Physiology Research (2 papers). Jeffrey L. Pitman is often cited by papers focused on Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Nuclear Receptors and Signaling (2 papers) and Neurobiology and Insect Physiology Research (2 papers). Jeffrey L. Pitman collaborates with scholars based in United States. Jeffrey L. Pitman's co-authors include Carol L. MacLeod, Tzu-Ping Lin, Jeanine Kleeman, Nicholas Gekakis, Mick McKeown, Chih‐Cheng Tsai, Lei Wang, Patricia A. Labosky, Laura Grabel and Christine A. Kozak and has published in prestigious journals such as Genes & Development, PLoS ONE and Development.

In The Last Decade

Jeffrey L. Pitman

8 papers receiving 374 citations

Author Peers

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

Author Last Decade Papers Cites
Jeffrey L. Pitman 269 161 64 36 35 8 380
Isabella M. Salamone 314 1.2× 197 1.2× 21 0.3× 20 0.6× 27 0.8× 10 403
Michael A. Charles 265 1.0× 110 0.7× 38 0.6× 27 0.8× 67 1.9× 5 396
Erin Jimenez 245 0.9× 83 0.5× 56 0.9× 27 0.8× 19 0.5× 12 418
V K Galanopoulos 182 0.7× 172 1.1× 35 0.5× 17 0.5× 36 1.0× 10 358
Jennifer Caldwell Busby 259 1.0× 71 0.4× 23 0.4× 39 1.1× 30 0.9× 6 377
Eri Kodama 200 0.7× 59 0.4× 32 0.5× 34 0.9× 16 0.5× 8 351
A. K. Deshpande 324 1.2× 54 0.3× 46 0.7× 82 2.3× 46 1.3× 16 441
Melanie Weigert 263 1.0× 70 0.4× 20 0.3× 45 1.3× 19 0.5× 10 435
Deborah J. Frank 298 1.1× 44 0.3× 32 0.5× 25 0.7× 105 3.0× 15 430
Tamara Y. Minosyan 120 0.4× 69 0.4× 115 1.8× 25 0.7× 15 0.4× 8 389

Countries citing papers authored by Jeffrey L. Pitman

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey L. Pitman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey L. Pitman. 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 Jeffrey L. Pitman. The network helps show where Jeffrey L. Pitman may publish in the future.

Co-authorship network of co-authors of Jeffrey L. Pitman

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey L. Pitman. A scholar is included among the top collaborators of Jeffrey L. Pitman 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 Jeffrey L. Pitman. Jeffrey L. Pitman 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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