Randi L. Rawson

11 total papers · 926 total citations
6 papers, 681 citations indexed

About

Randi L. Rawson is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Randi L. Rawson has authored 6 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Developmental Neuroscience. Recurrent topics in Randi L. Rawson's work include Receptor Mechanisms and Signaling (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Randi L. Rawson is often cited by papers focused on Receptor Mechanisms and Signaling (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Randi L. Rawson collaborates with scholars based in United States and Germany. Randi L. Rawson's co-authors include Kurt Gottmann, Markus Missler, Frédérique Varoqueaux, Weiqi Zhang, Ralf Mohrmann, Gayane Aramuni, Thomas C. Südhof, Nils Brose, Megan E. Williams and Elizabeth A. Martin and has published in prestigious journals such as Neuron, Current Biology and Developmental Cell.

In The Last Decade

Randi L. Rawson

5 papers receiving 669 citations

Hit Papers

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Author Peers

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

Author						Papers	Cites
Randi L. Rawson	415	351	185	167	148	6	681
Jessica Hauser Chatterjee	405 1.0×	390 1.1×	127 0.7×	122 0.7×	77 0.5×	8	690
Christopher P. Tzeng	319 0.8×	359 1.0×	121 0.7×	89 0.5×	51 0.3×	8	629
Stéphane J. Baudouin	273 0.7×	310 0.9×	297 1.6×	278 1.7×	81 0.5×	17	711
Ee-Lynn Yap	281 0.7×	361 1.0×	161 0.9×	71 0.4×	49 0.3×	7	670
Satoshi Kamijo	419 1.0×	393 1.1×	146 0.8×	70 0.4×	57 0.4×	10	739
Michael A. Bemben	383 0.9×	424 1.2×	115 0.6×	128 0.8×	136 0.9×	12	713
Joshua N. Levinson	433 1.0×	375 1.1×	93 0.5×	94 0.6×	157 1.1×	11	675
Antoine G. Almonte	341 0.8×	394 1.1×	142 0.8×	173 1.0×	104 0.7×	10	750
Alice Pavlowsky	260 0.6×	309 0.9×	88 0.5×	181 1.1×	117 0.8×	19	616
Isabel del Pino	402 1.0×	307 0.9×	221 1.2×	117 0.7×	61 0.4×	14	729

Countries citing papers authored by Randi L. Rawson

Since Specialization

Citations

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

Fields of papers citing papers by Randi L. Rawson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Randi L. Rawson

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