Wei Wei Prior

81 total papers · 2.0k total citations
10 papers, 886 citations indexed

About

Wei Wei Prior is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Wei Wei Prior has authored 10 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Oncology. Recurrent topics in Wei Wei Prior's work include PI3K/AKT/mTOR signaling in cancer (8 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Wei Wei Prior is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (8 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Wei Wei Prior collaborates with scholars based in United States, Netherlands and France. Wei Wei Prior's co-authors include Lori S. Friedman, Deepak Sampath, Marcia Belvin, Jeffrey J. Wallin, Jane Guan, Kyle A. Edgar, Leanne Berry, Leslie B. Lee, Lesley Murray and Michael Degtyarev and has published in prestigious journals such as The Journal of Cell Biology, Cancer Research and Clinical Cancer Research.

In The Last Decade

Wei Wei Prior

10 papers receiving 854 citations

Author Peers

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

Author Last Decade Papers Cites
Wei Wei Prior 644 252 199 147 134 10 886
Pablo Baquero 616 1.0× 153 0.6× 186 0.9× 56 0.4× 151 1.1× 17 949
Kristy J. Gotink 607 0.9× 108 0.4× 294 1.5× 251 1.7× 50 0.4× 8 970
Jiuxiang Zhu 576 0.9× 71 0.3× 161 0.8× 90 0.6× 164 1.2× 11 1.0k
Arifumi Iwamaru 515 0.8× 152 0.6× 315 1.6× 62 0.4× 80 0.6× 19 893
Jiao Ji 615 1.0× 334 1.3× 216 1.1× 103 0.7× 34 0.3× 23 1.0k
Sandaruwan Geeganage 625 1.0× 74 0.3× 359 1.8× 178 1.2× 120 0.9× 21 1.0k
Andrea Shergalis 499 0.8× 115 0.5× 122 0.6× 113 0.8× 211 1.6× 8 943
Barry Jutten 441 0.7× 192 0.8× 209 1.1× 106 0.7× 59 0.4× 19 803
Banibrata Sen 553 0.9× 81 0.3× 357 1.8× 134 0.9× 45 0.3× 21 921
Chris J. Novotny 639 1.0× 73 0.3× 178 0.9× 78 0.5× 66 0.5× 10 823

Countries citing papers authored by Wei Wei Prior

Since Specialization
Citations

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

Fields of papers citing papers by Wei Wei Prior

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Wei Prior

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