Gail Rauw

35 total papers · 801 total citations
30 papers, 628 citations indexed

About

Gail Rauw is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pharmacology. According to data from OpenAlex, Gail Rauw has authored 30 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 5 papers in Pharmacology. Recurrent topics in Gail Rauw's work include Neuroscience and Neuropharmacology Research (11 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Amino Acid Enzymes and Metabolism (3 papers). Gail Rauw is often cited by papers focused on Neuroscience and Neuropharmacology Research (11 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Amino Acid Enzymes and Metabolism (3 papers). Gail Rauw collaborates with scholars based in Canada, United States and Chile. Gail Rauw's co-authors include Glen B. Baker, Satyabrata Kar, Mee‐Sook Song, Gustavo Tenorio, Bradley J. Kerr, Xin‐Min Li, Wenqiang Wang, Marise B. Parent, Franco J. Vaccarino and David E. Bush and has published in prestigious journals such as Nature Communications, Analytical Biochemistry and Neuroscience.

In The Last Decade

Gail Rauw

29 papers receiving 608 citations

Author Peers

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

Author						Papers	Cites
Gail Rauw	201	181	148	102	84	30	628
Lihong Jiang	212 1.1×	178 1.0×	245 1.7×	89 0.9×	103 1.2×	26	788
Mal-Soon Shin	152 0.8×	176 1.0×	130 0.9×	75 0.7×	56 0.7×	25	733
Seyed Shahabeddin Sadr	155 0.8×	129 0.7×	228 1.5×	58 0.6×	48 0.6×	33	678
Ming Tatt Lee	145 0.7×	161 0.9×	195 1.3×	76 0.7×	63 0.8×	59	755
C. Brazell	370 1.8×	119 0.7×	219 1.5×	161 1.6×	61 0.7×	22	793
Hao Liu	120 0.6×	263 1.5×	178 1.2×	76 0.7×	70 0.8×	38	785
Kimberly L. Panizzon	307 1.5×	208 1.1×	278 1.9×	65 0.6×	43 0.5×	19	746
Pablo Galeano	164 0.8×	191 1.1×	242 1.6×	121 1.2×	49 0.6×	33	704
Roi Ann Wallis	250 1.2×	204 1.1×	257 1.7×	78 0.8×	26 0.3×	22	713
Guadalupe Garcı́a-Alcocer	193 1.0×	124 0.7×	208 1.4×	80 0.8×	58 0.7×	28	689

Countries citing papers authored by Gail Rauw

Since Specialization

Citations

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

Fields of papers citing papers by Gail Rauw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gail Rauw

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