Catherine J. Wei

12 total papers · 694 total citations
10 papers, 548 citations indexed

About

Catherine J. Wei is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Catherine J. Wei has authored 10 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Catherine J. Wei's work include Adenosine and Purinergic Signaling (6 papers), Neuroscience and Neuropharmacology Research (3 papers) and Receptor Mechanisms and Signaling (3 papers). Catherine J. Wei is often cited by papers focused on Adenosine and Purinergic Signaling (6 papers), Neuroscience and Neuropharmacology Research (3 papers) and Receptor Mechanisms and Signaling (3 papers). Catherine J. Wei collaborates with scholars based in United States, Switzerland and Portugal. Catherine J. Wei's co-authors include Jiang‐Fan Chen, Detlev Boison, Wei Li, Benjamin K. Yee, Philipp Singer, Hai‐Ying Shen, Rodrigo A. Cunha, Yumei Wang, Elisabete Augusto and Thomas A. Cleland and has published in prestigious journals such as Journal of Clinical Investigation, Biological Psychiatry and Biochimica et Biophysica Acta (BBA) - Biomembranes.

In The Last Decade

Catherine J. Wei

9 papers receiving 548 citations

Author Peers

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

Author						Papers	Cites
Catherine J. Wei	292	231	165	142	69	10	548
Ruth E. Brooke	275 0.9×	150 0.6×	139 0.8×	66 0.5×	65 0.9×	14	470
Katsutoshi Ido	196 0.7×	204 0.9×	177 1.1×	171 1.2×	156 2.3×	14	600
E. Milusheva	144 0.5×	306 1.3×	218 1.3×	64 0.5×	35 0.5×	19	491
Timothy K. Y. Kaan	194 0.7×	197 0.9×	106 0.6×	93 0.7×	62 0.9×	10	607
M. Dolores Constantino	360 1.2×	298 1.3×	251 1.5×	83 0.6×	37 0.5×	9	521
Claire E. Barry	125 0.4×	182 0.8×	126 0.8×	261 1.8×	30 0.4×	7	575
Cecília Csölle	391 1.3×	129 0.6×	95 0.6×	120 0.8×	139 2.0×	17	613
Diana G. Ferreira	130 0.4×	182 0.8×	170 1.0×	133 0.9×	33 0.5×	8	528
Jorge S. Valadas	133 0.5×	158 0.7×	171 1.0×	84 0.6×	31 0.4×	12	523
Deidiane Elisa Ribeiro	238 0.8×	77 0.3×	133 0.8×	115 0.8×	86 1.2×	20	590

Countries citing papers authored by Catherine J. Wei

Since Specialization

Citations

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

Fields of papers citing papers by Catherine J. Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Catherine J. Wei. 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 Catherine J. Wei. The network helps show where Catherine J. Wei may publish in the future.

Co-authorship network of co-authors of Catherine J. Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Catherine J. Wei. A scholar is included among the top collaborators of Catherine J. Wei 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 Catherine J. Wei. Catherine J. Wei 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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