Timothy Wu

41 total papers · 686 total citations
20 papers, 356 citations indexed

About

Timothy Wu is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Timothy Wu has authored 20 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cell Biology. Recurrent topics in Timothy Wu's work include Signaling Pathways in Disease (2 papers), Peptidase Inhibition and Analysis (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Timothy Wu is often cited by papers focused on Signaling Pathways in Disease (2 papers), Peptidase Inhibition and Analysis (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Timothy Wu collaborates with scholars based in United States, Netherlands and Canada. Timothy Wu's co-authors include Roel A. Ophoff, Frances H. Arnold, Matthew A. Smith, Loes M. Olde Loohuis, René S. Kahn, Rita M. Cantor, Anil P. S. Ori, Marco P. Boks, Steve Horvath and Eleazar Eskin and has published in prestigious journals such as Journal of Clinical Oncology, Genes & Development and Psychological Medicine.

In The Last Decade

Timothy Wu

19 papers receiving 350 citations

Author Peers

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

Author Last Decade Papers Cites
Timothy Wu 200 50 42 39 33 20 356
Sang Goo Lee 170 0.8× 33 0.7× 43 1.0× 100 2.6× 21 0.6× 15 391
Lin Cong 220 1.1× 15 0.3× 78 1.9× 26 0.7× 13 0.4× 20 384
Praveen K. Sobhan 218 1.1× 32 0.6× 23 0.5× 22 0.6× 70 2.1× 16 370
Han Luo 154 0.8× 43 0.9× 41 1.0× 13 0.3× 13 0.4× 12 362
Chi‐Hao Luan 157 0.8× 34 0.7× 51 1.2× 72 1.8× 21 0.6× 13 341
Zixuan Chen 205 1.0× 23 0.5× 33 0.8× 31 0.8× 9 0.3× 26 387
Roudabeh J. Jamasbi 179 0.9× 19 0.4× 38 0.9× 23 0.6× 31 0.9× 28 387
Viola Vargová 120 0.6× 13 0.3× 46 1.1× 19 0.5× 21 0.6× 19 401
Kana Yamada 222 1.1× 31 0.6× 91 2.2× 15 0.4× 79 2.4× 22 389
Mariela Jiménez 141 0.7× 12 0.2× 51 1.2× 45 1.2× 20 0.6× 19 383

Countries citing papers authored by Timothy Wu

Since Specialization
Citations

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

Fields of papers citing papers by Timothy Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothy Wu

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