Nan Wu

43 papers receiving 711 citations

Peers

Nan Wu
Comparison fields: 5 of 108
  • Anesthesiology and Pain Medicine 66
  • Molecular Biology 307
  • Cell Biology 66
  • Developmental Neuroscience 15
  • Radiological and Ultrasound Technology 17
Replace Robert J. Capetola with:
Robert J. Capetola United States
Yuko Noda Japan
Ping Guo China
Francisco Vara Spain
Rubana N. Kalyani United States
Xuan Ren China
Yoshihiro Sugiura Japan
Ping Lei China
Jiyeon Park South Korea
Rosa Navarrete Spain
Nan Wu relative to Robert J. Capetola United States Robert J. Capetola's profile →
Citations per field
00.5×10×20×30×36.7×
Robert J. Capetola · 1×
Citations per year

Countries citing papers authored by Nan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Nan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nan Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nan Wu Line = papers co-authored together Nan Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012102
2 201177
3 202146
4 201939
5 201436
6 199335
7 201435
8 202032
9 201528
10 201923
11 201421
12 201821
13 201920
14 202320
15 200615
16 202514
17 202113
18 202313
19 201312
20 202212

About Nan Wu

Nan Wu is a scholar working on Cellular and Molecular Neuroscience, Anesthesiology and Pain Medicine, Pharmacology, Physiology and Molecular Biology, having authored 43 papers that have together received 729 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Anesthesia and Sedative Agents (4 papers), Computational Drug Discovery Methods (3 papers), Diet and metabolism studies (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Pharmacological Receptor Mechanisms and Effects (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (66 citations), Molecular Biology (307 citations), Cell Biology (66 citations), Developmental Neuroscience (15 citations) and Radiological and Ultrasound Technology (17 citations). Nan Wu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Hongtao Yu, Harlan E. Amandus, Xiang‐Qun Xie, Zhiwei Feng, Guohua An, Guang X. Chen, Weiwei Lin, Ross T. Warrington, Susan A. Gerbi and Pangke Yan. Their work appears in journals such as Developmental Biology, The Journal of Clinical Pharmacology, Antimicrobial Agents and Chemotherapy, Frontiers in Pharmacology and Journal of Pharmaceutical Sciences.

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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