Pei-Chi Wu

14 total papers · 460 total citations
14 papers, 388 citations indexed

About

Pei-Chi Wu is a scholar working on Pharmacology, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Pei-Chi Wu has authored 14 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pharmacology, 6 papers in Organic Chemistry and 5 papers in Molecular Biology. Recurrent topics in Pei-Chi Wu's work include Synthesis of Organic Compounds (2 papers), Click Chemistry and Applications (2 papers) and Pelvic floor disorders treatments (2 papers). Pei-Chi Wu is often cited by papers focused on Synthesis of Organic Compounds (2 papers), Click Chemistry and Applications (2 papers) and Pelvic floor disorders treatments (2 papers). Pei-Chi Wu collaborates with scholars based in Taiwan, United States and Czechia. Pei-Chi Wu's co-authors include Kuo‐Hsiung Lee, Susan L. Morris‐Natschke, Kenneth F. Bastow, Kyoko Nakagawa‐Goto, Qian Shi, Chin-Yu Lai, Yizhou Dong, Keduo Qian, Arnold Brossi and Jing-Yu Lang and has published in prestigious journals such as Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry and Bioorganic & Medicinal Chemistry.

In The Last Decade

Pei-Chi Wu

13 papers receiving 383 citations

Author Peers

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

Author Last Decade Papers Cites
Pei-Chi Wu 232 149 124 34 29 14 388
Jun Asano 127 0.5× 83 0.6× 196 1.6× 166 4.9× 19 0.7× 10 385
Noboru Mori 113 0.5× 90 0.6× 171 1.4× 26 0.8× 46 1.6× 28 400
Lothar Kopanski 145 0.6× 85 0.6× 99 0.8× 61 1.8× 11 0.4× 19 410
Brice A. P. Wilson 66 0.3× 94 0.6× 189 1.5× 10 0.3× 37 1.3× 21 411
Marta P. Carrasco 169 0.7× 99 0.7× 121 1.0× 8 0.2× 38 1.3× 17 389
Chandrahas N. Khobragade 295 1.3× 72 0.5× 112 0.9× 23 0.7× 26 0.9× 10 438
Sakshi Balwani 140 0.6× 30 0.2× 134 1.1× 19 0.6× 58 2.0× 15 410
Christine Mahieu 147 0.6× 49 0.3× 237 1.9× 22 0.6× 37 1.3× 12 371
Ralph T. Scannell 175 0.8× 67 0.4× 162 1.3× 44 1.3× 31 1.1× 26 387
Peter Mack 148 0.6× 60 0.4× 175 1.4× 30 0.9× 65 2.2× 9 384

Countries citing papers authored by Pei-Chi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Pei-Chi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei-Chi Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Pei-Chi Wu. A scholar is included among the top collaborators of Pei-Chi 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 Pei-Chi Wu. Pei-Chi Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026