Zhan‐Wei Suo

678 citations
37 papers · 561 · h-index 16

Impact in

Papers in

Zhan‐Wei Suo

36 papers receiving 558 citations

Peers

Zhan‐Wei Suo
Comparison fields: 5 of 60
  • Cellular and Molecular Neuroscience 278
  • Physiology 330
  • Sensory Systems 21
  • Neurology 35
  • Developmental Neuroscience 16
Replace Celina Monteiro da Cruz Lotufo with:
Celina Monteiro da Cruz Lotufo Brazil
Tamaki Mabuchi Japan
Maria Domenica Sanna Italy
Lingyong Li United States
Erin McGowan United States
Wiebke Kallenborn-Gerhardt Germany
Russell P. Landry United States
Magdalena Misiak United States
Da-Lu Liu China
Ryan B. Griggs United States
Zhan‐Wei Suo relative to Celina Monteiro da Cruz Lotufo Brazil Celina Monteiro da Cruz Lotufo's profile →
Citations per field
00.5×1.7×
Celina Monteiro da Cruz Lotufo · 1×
Citations per year

Countries citing papers authored by Zhan‐Wei Suo

Since Specialization
Citations

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

Fields of papers citing papers by Zhan‐Wei Suo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhan‐Wei Suo. 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 Zhan‐Wei Suo. The network helps show where Zhan‐Wei Suo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201062
2 201142
3 201535
4 201131
5 201328
6 201422
7 202021
8 201920
9 201320
10 201419
11 201719
12 201818
13 201918
14 201516
15 201316
16 201415
17 201414
18 201814
19 202112
20 202112

About Zhan‐Wei Suo

Zhan‐Wei Suo is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology and Rehabilitation, having authored 37 papers that have together received 561 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (31 papers), Ion channel regulation and function (17 papers), Neuroscience and Neuropharmacology Research (16 papers), Neuropeptides and Animal Physiology (8 papers), Berberine and alkaloids research (3 papers), Neurobiology and Insect Physiology Research (3 papers), Chemical Reactions and Isotopes (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (278 citations), Physiology (330 citations), Sensory Systems (21 citations), Neurology (35 citations) and Developmental Neuroscience (16 citations). Zhan‐Wei Suo has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Xian Yang, Xiao‐Dong Hu, Yanni Liu, Hongbin Yang, Shuai Li, Jing Cao, Jiangping Liu, Zhen Guo, Ziyang Zhang and Wentao Wang. Their work appears in journals such as Neuropharmacology, European Journal of Pharmacology, Neuroscience, European Journal of Pain and Pain.

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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