Wenting Su

1.9k citations
83 papers · 1.4k · h-index 19

Impact in

Papers in

Wenting Su

74 papers receiving 1.3k citations

Peers

Wenting Su
Comparison fields: 5 of 115
  • Cellular and Molecular Neuroscience 421
  • Physiology 245
  • Neurology 132
  • Neurology 64
  • Molecular Biology 498
Replace Kazunori Sato with:
Kazunori Sato Japan
Maite A. Castro Chile
Yandong Zhou United States
Hua Tian China
Chunjuan Song United States
Snjezana Zaja‐Milatovic United States
Xi Lu China
Tarik Smani Spain
Gaia Cermenati Italy
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Citations per field
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Citations per year

Countries citing papers authored by Wenting Su

Since Specialization
Citations

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

Fields of papers citing papers by Wenting Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019211
2 1998171
3
Antisense mapping of MOR-1 in rats: distinguishing between morphine and morphine-6beta-glucuronide antinociception.
1997116
4 201957
5 201954
6 199449
7 201738
8 201437
9 201732
10 202231
11
Comparison of various reagents for preparing a decellularized porcine cartilage scaffold.
201931
12 202024
13 201223
14 202222
15 202321
16 201620
17 201420
18 202319
19 201319
20 202318

About Wenting Su

Wenting Su is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Neurology and Physiology, having authored 83 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Insect and Pesticide Research (6 papers), Insect and Arachnid Ecology and Behavior (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Receptor Mechanisms and Signaling (4 papers), Neuropeptides and Animal Physiology (4 papers), Plant and animal studies (4 papers) and Nerve injury and regeneration (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (421 citations), Physiology (245 citations), Neurology (132 citations), Neurology (64 citations) and Molecular Biology (498 citations). Wenting Su has collaborated with scholars based in China, United States and Vietnam. Frequent co-authors include Gavril W. Pasternak, Liza Leventhal, Grace C. Rossi, Jixin Xue, Elizabeth Bolan, John P. Mathis, Richard J. Bodnar, Sharon R. Letchworth, Jennifer P. Ryan‐Moro and Renxi Wang. Their work appears in journals such as International Journal of Molecular Sciences, Brain Research, Journal of Medical Virology, Journal of Pharmacology and Experimental Therapeutics and Clinical Rheumatology.

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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