Jennifer E. Bestman

20 total papers · 749 total citations
16 papers, 599 citations indexed

About

Jennifer E. Bestman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Jennifer E. Bestman has authored 16 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Genetics. Recurrent topics in Jennifer E. Bestman's work include Neurobiology and Insect Physiology Research (4 papers), Mitochondrial Function and Pathology (4 papers) and CRISPR and Genetic Engineering (3 papers). Jennifer E. Bestman is often cited by papers focused on Neurobiology and Insect Physiology Research (4 papers), Mitochondrial Function and Pathology (4 papers) and CRISPR and Genetic Engineering (3 papers). Jennifer E. Bestman collaborates with scholars based in United States and Ireland. Jennifer E. Bestman's co-authors include Hollis T. Cline, Jennifer L. Watts, Diane G. Morton, Kenneth J. Kemphues, Krista D. Stackley, Sherine S.L. Chan, Jennifer J. Rahn, Shu‐Ling Chiu, Ronald Booker and Annadurai Anandhan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Development.

In The Last Decade

Jennifer E. Bestman

16 papers receiving 590 citations

Author Peers

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

Author Last Decade Papers Cites
Jennifer E. Bestman 407 146 128 72 72 16 599
Laure Granger 409 1.0× 198 1.4× 114 0.9× 54 0.8× 145 2.0× 10 609
Myungin Bæk 336 0.8× 217 1.5× 145 1.1× 57 0.8× 31 0.4× 27 617
Darrell D. Norton 391 1.0× 101 0.7× 71 0.6× 35 0.5× 46 0.6× 14 644
Anahita Amiri 547 1.3× 65 0.4× 85 0.7× 127 1.8× 131 1.8× 12 684
Doris Martin 404 1.0× 174 1.2× 129 1.0× 65 0.9× 25 0.3× 14 568
Carey J. Oliver 542 1.3× 110 0.8× 179 1.4× 35 0.5× 26 0.4× 10 687
Benjamin Edwards 445 1.1× 127 0.9× 74 0.6× 77 1.1× 55 0.8× 21 690
Kazuto Fujishima 371 0.9× 226 1.5× 111 0.9× 63 0.9× 19 0.3× 16 634
Danielle Crippen 393 1.0× 185 1.3× 117 0.9× 29 0.4× 109 1.5× 12 665
Bangfu Zhu 223 0.5× 217 1.5× 52 0.4× 37 0.5× 24 0.3× 21 513

Countries citing papers authored by Jennifer E. Bestman

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer E. Bestman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer E. Bestman. 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 Jennifer E. Bestman. The network helps show where Jennifer E. Bestman may publish in the future.

Co-authorship network of co-authors of Jennifer E. Bestman

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer E. Bestman. A scholar is included among the top collaborators of Jennifer E. Bestman 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 Jennifer E. Bestman. Jennifer E. Bestman 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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