Weihua Wan

892 citations
9 papers · 748 indexed · h-index 9
Topics
Neuroscience and Neuropharmacology Research (4 papers)Adenosine and Purinergic Signaling (2 papers)Stress Responses and Cortisol (2 papers)
Partner nations
CanadaUnited StatesChina

In The Last Decade

Weihua Wan

9 papers receiving 731 citations

Peers

Weihua Wan
Comparison fields: 5 of 86
  • Cellular and Molecular Neuroscience 310
  • Molecular Biology 238
  • Behavioral Neuroscience 151
  • Neurology 120
  • Endocrine and Autonomic Systems 116
Replace Dominique Nouel with:
Dominique Nouel Canada
Cristina Bertollini Italy
Sabina Luchetti Netherlands
Adolfo E. Cuadra United States
Thomas N. Sager Denmark
Regina Vontell United States
Emily A. Kelly United States
Ana Chow United States
Denise Fedele United States
Patrícia Patrício Portugal
Weihua Wan relative to Dominique Nouel Canada Dominique Nouel's profile →
Citations per field
00.5×1.5×2.1×
Dominique Nouel · 1×
Citations per year

Countries citing papers authored by Weihua Wan

Since Specialization
Citations

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

Fields of papers citing papers by Weihua Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weihua Wan

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 26
2
The neurotrophin-trk receptor axes are critical for the growth and progression of human prostatic carcinoma and pancreatic ductal adenocarcinoma xenografts in nude mice.
76
3 49
4 75
5 260
6 113
7 46
8 17
9 86

About Weihua Wan

Weihua Wan is a scholar working on Behavioral Neuroscience, Physiology and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 748 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Adenosine and Purinergic Signaling (2 papers) and Stress Responses and Cortisol (2 papers). The work is most often cited by research in Behavioral Neuroscience (151 citations), Biological Psychiatry (66 citations) and Physiology (103 citations). Weihua Wan has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Arnold H. Greenberg, Dwight M. Nance, C M Sorensen, Jonathan D. Geiger, David J. Ennulat, Garnette R. Sutherland, Bruce M. Cohen, Catherine Y. Vriend, Rodolfo A. Padua and J.I. Nagy. Their work appears in journals such as Chemical Communications, Brain Research and Journal of Neurochemistry.

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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