Joanne Wang

45 papers receiving 1.7k citations

Peers

Joanne Wang
Comparison fields: 5 of 113
  • Physiology 149
  • Neurology 292
  • Obstetrics and Gynecology 144
  • Oncology 470
  • Cellular and Molecular Neuroscience 312
Replace Kai‐Yin Chau with:
Kai‐Yin Chau United Kingdom
Lorraine M. Work United Kingdom
Zhaoping Ding Germany
Shinichi Yoshimura Japan
Vardiella Meiner Israel
Michelle I. Lin United States
Dominique Eladari France
John D. Lee Australia
Ying Hong United Kingdom
Masato Kobayashi Japan
Joanne Wang relative to Kai‐Yin Chau United Kingdom Kai‐Yin Chau's profile →
Citations per field
00.5×6.9×
Kai‐Yin Chau · 1×
Citations per year

Countries citing papers authored by Joanne Wang

Since Specialization
Citations

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

Fields of papers citing papers by Joanne Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Joanne Wang, 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 Joanne Wang Line = papers co-authored together Joanne Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004196
2 2010162
3 2010150
4 2008118
5 200493
6 201285
7 200880
8 200979
9 201367
10 201466
11 200665
12 200660
13 201559
14 200355
15 201248
16 201844
17 201244
18 201541
19 200835
20 200727

About Joanne Wang

Joanne Wang is a scholar working on Oncology, Molecular Biology, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Neurology, having authored 47 papers that have together received 1.8k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (12 papers), Pharmacological Effects and Toxicity Studies (8 papers), Amino Acid Enzymes and Metabolism (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Pregnancy and Medication Impact (5 papers), Botulinum Toxin and Related Neurological Disorders (4 papers), Neurological disorders and treatments (4 papers) and Adenosine and Purinergic Signaling (4 papers). The work is most often cited by research in Physiology (149 citations), Neurology (292 citations), Obstetrics and Gynecology (144 citations), Oncology (470 citations) and Cellular and Molecular Neuroscience (312 citations). Joanne Wang has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Haichuan Duan, Karen Engel, Wei Kong, K. Roger Aoki, Ester Fernández‐Salas, Mary F. Hébert, Xia Li, Jorge R. Oksenberg, Stacy J. Caillier and John G. Hohmann. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Cancer Chemotherapy and Pharmacology, Toxicon, Drug Metabolism and Disposition and Journal of Biological Chemistry.

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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