Brooke W. Purdue

13 total papers · 440 total citations
7 papers, 346 citations indexed

About

Brooke W. Purdue is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Brooke W. Purdue has authored 7 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Brooke W. Purdue's work include Neuropeptides and Animal Physiology (3 papers), Receptor Mechanisms and Signaling (3 papers) and Cancer, Stress, Anesthesia, and Immune Response (2 papers). Brooke W. Purdue is often cited by papers focused on Neuropeptides and Animal Physiology (3 papers), Receptor Mechanisms and Signaling (3 papers) and Cancer, Stress, Anesthesia, and Immune Response (2 papers). Brooke W. Purdue collaborates with scholars based in Australia, United States and Germany. Brooke W. Purdue's co-authors include Patrick M. Sexton, Walter G. Thomas, Ross D. Hannan, Vi Pham, John D. Wade, Hsiu‐Wen Chan, Enzo R. Porrello, E. Roura, Wolfgang Meyerhof and Karen M. Moritz and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Cell Science.

In The Last Decade

Brooke W. Purdue

7 papers receiving 344 citations

Author Peers

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

Author Last Decade Papers Cites
Brooke W. Purdue 189 117 114 89 68 7 346
Pamela J. Gunter-Smith 279 1.5× 130 1.1× 42 0.4× 41 0.5× 16 0.2× 11 397
Stuart McLarnon 175 0.9× 42 0.4× 87 0.8× 26 0.3× 19 0.3× 8 327
Xiahui Tan 169 0.9× 42 0.4× 51 0.4× 73 0.8× 27 0.4× 13 361
Kristin Dauner 209 1.1× 160 1.4× 63 0.6× 101 1.1× 8 0.1× 7 355
Motoki Tagami 167 0.9× 55 0.5× 17 0.1× 22 0.2× 25 0.4× 7 359
Pascal Nurwakagari 156 0.8× 71 0.6× 17 0.1× 91 1.0× 10 0.1× 10 395
Wanqu Zhu 108 0.6× 29 0.2× 49 0.4× 50 0.6× 29 0.4× 8 303
Vânia A. M. Goulart 196 1.0× 80 0.7× 14 0.1× 28 0.3× 59 0.9× 7 371
W. Hunziker 242 1.3× 158 1.4× 22 0.2× 10 0.1× 15 0.2× 7 390
Yoshiaki Maruyama 192 1.0× 79 0.7× 34 0.3× 135 1.5× 11 0.2× 13 319

Countries citing papers authored by Brooke W. Purdue

Since Specialization
Citations

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

Fields of papers citing papers by Brooke W. Purdue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brooke W. Purdue. 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 Brooke W. Purdue. The network helps show where Brooke W. Purdue may publish in the future.

Co-authorship network of co-authors of Brooke W. Purdue

This figure shows the co-authorship network connecting the top 25 collaborators of Brooke W. Purdue. A scholar is included among the top collaborators of Brooke W. Purdue 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 Brooke W. Purdue. Brooke W. Purdue 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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