Pamela Friedman

8 total papers · 519 total citations
2 papers, 426 citations indexed

About

Pamela Friedman is a scholar working on Cellular and Molecular Neuroscience, Geriatrics and Gerontology and Developmental Neuroscience. According to data from OpenAlex, Pamela Friedman has authored 2 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Cellular and Molecular Neuroscience, 1 paper in Geriatrics and Gerontology and 1 paper in Developmental Neuroscience. Recurrent topics in Pamela Friedman's work include Nerve injury and regeneration (1 paper), Neuropeptides and Animal Physiology (1 paper) and Pharmaceutical Practices and Patient Outcomes (1 paper). Pamela Friedman is often cited by papers focused on Nerve injury and regeneration (1 paper), Neuropeptides and Animal Physiology (1 paper) and Pharmaceutical Practices and Patient Outcomes (1 paper). Pamela Friedman collaborates with scholars based in United States and Sweden. Pamela Friedman's co-authors include Håkan Persson, Scott R. Whittemore, Mayra Gonzalez-Carvajal, Dan Larhammar, Steven M. Greenberg, David Schoenfeld, Ivor S. Douglas, Kirk R. Daffner, Laura B. Brown and John H. Growdon and has published in prestigious journals such as Journal of Neuroscience Research and Archives of Neurology.

In The Last Decade

Pamela Friedman

2 papers receiving 411 citations

Author Peers

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

Author						Papers	Cites
Pamela Friedman	264	135	108	87	75	2	426
Rowan Pentz	123 0.5×	58 0.4×	96 0.9×	92 1.1×	60 0.8×	12	428
Abigail Mariga	176 0.7×	82 0.6×	208 1.9×	84 1.0×	23 0.3×	8	464
Beverly M. Francis	182 0.7×	75 0.6×	103 1.0×	54 0.6×	19 0.3×	6	410
Deana M. Apple	159 0.6×	166 1.2×	160 1.5×	24 0.3×	25 0.3×	8	488
Joe Younes	91 0.3×	57 0.4×	149 1.4×	22 0.3×	40 0.5×	5	462
Camille S. Wang	155 0.6×	70 0.5×	113 1.0×	43 0.5×	20 0.3×	4	381
Sarah Moghadam	104 0.4×	42 0.3×	82 0.8×	63 0.7×	62 0.8×	7	408
Avia Merenlender‐Wagner	109 0.4×	33 0.2×	124 1.1×	62 0.7×	52 0.7×	8	401
Polina Feldman	116 0.4×	56 0.4×	182 1.7×	37 0.4×	34 0.5×	6	419
Manju Sasi	193 0.7×	75 0.6×	91 0.8×	22 0.3×	18 0.2×	8	385

Countries citing papers authored by Pamela Friedman

Since Specialization

Citations

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

Fields of papers citing papers by Pamela Friedman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pamela Friedman. 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 Pamela Friedman. The network helps show where Pamela Friedman may publish in the future.

Co-authorship network of co-authors of Pamela Friedman

This figure shows the co-authorship network connecting the top 25 collaborators of Pamela Friedman. A scholar is included among the top collaborators of Pamela Friedman 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 Pamela Friedman. Pamela Friedman 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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