Pamela Angwin

13 total papers · 512 total citations
10 papers, 326 citations indexed

About

Pamela Angwin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Animal Science and Zoology. According to data from OpenAlex, Pamela Angwin has authored 10 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 2 papers in Animal Science and Zoology. Recurrent topics in Pamela Angwin's work include Receptor Mechanisms and Signaling (5 papers), Neuropeptides and Animal Physiology (4 papers) and Chemical Synthesis and Analysis (3 papers). Pamela Angwin is often cited by papers focused on Receptor Mechanisms and Signaling (5 papers), Neuropeptides and Animal Physiology (4 papers) and Chemical Synthesis and Analysis (3 papers). Pamela Angwin collaborates with scholars based in United States and Japan. Pamela Angwin's co-authors include Jack D. Barchas, Elizabeth Erdelyi, R. Bruce Holman, George Makk, Kazuhiko Tatemoto, Itsuro Nakano, Xuefeng B. Ling, Michael J. Mann, Vay Liang W. Go and Robert L. Sack and has published in prestigious journals such as Analytical Biochemistry, Biochemical and Biophysical Research Communications and Neuroscience.

In The Last Decade

Pamela Angwin

10 papers receiving 311 citations

Author Peers

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

Author						Papers	Cites
Pamela Angwin	186	138	35	32	29	10	326
Katrien Thorré	150 0.8×	69 0.5×	26 0.7×	68 2.1×	16 0.6×	9	322
Alec C. Valenta	116 0.6×	121 0.9×	33 0.9×	38 1.2×	43 1.5×	12	333
A Giudice	177 1.0×	179 1.3×	27 0.8×	116 3.6×	10 0.3×	16	344
C D Unsworth	229 1.2×	227 1.6×	30 0.9×	37 1.2×	6 0.2×	12	361
S. A. Millard	126 0.7×	124 0.9×	19 0.5×	48 1.5×	8 0.3×	16	326
Richard A. Glennon	244 1.3×	156 1.1×	23 0.7×	36 1.1×	8 0.3×	9	359
A. Cordi	207 1.1×	200 1.4×	7 0.2×	37 1.2×	15 0.5×	15	365
Wakako Fujita	234 1.3×	211 1.5×	20 0.6×	68 2.1×	7 0.2×	13	336
Simone Parvez	94 0.5×	113 0.8×	31 0.9×	49 1.5×	10 0.3×	24	357
V. Baltzer	162 0.9×	90 0.7×	13 0.4×	43 1.3×	26 0.9×	11	351

Countries citing papers authored by Pamela Angwin

Since Specialization

Citations

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

Fields of papers citing papers by Pamela Angwin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela Angwin

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