Yuke Tian

3.6k citations
76 papers · 2.9k · h-index 34

Impact in

Papers in

Yuke Tian

75 papers receiving 2.9k citations

Peers

Yuke Tian
Comparison fields: 5 of 112
  • Physiology 1.2k
  • Anesthesiology and Pain Medicine 164
  • Pharmacology 235
  • Neurology 220
  • Cellular and Molecular Neuroscience 497
Replace Ya‐Qun Zhou with:
Ya‐Qun Zhou China
Qulian Guo China
Shiroh Kishioka Japan
Jong Yeon Park South Korea
Andrew J. Mannes United States
Seong-Soo Choi South Korea
Jianguo Xu China
James D. Schmelzer United States
Sookja Kim Chung Hong Kong
Inge Bauer Germany
Yuke Tian relative to Ya‐Qun Zhou China Ya‐Qun Zhou's profile →
Citations per field
00.5×2×3.4×
Ya‐Qun Zhou · 1×
Citations per year

Countries citing papers authored by Yuke Tian

Since Specialization
Citations

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

Fields of papers citing papers by Yuke Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016335
2 2019135
3 201898
4 201793
5 201487
6 202083
7 201781
8 201975
9 202173
10 201673
11 201373
12 201470
13 201864
14 202060
15 201960
16 202154
17 201354
18 201850
19 201446
20 202145

About Yuke Tian

Yuke Tian is a scholar working on Physiology, Cellular and Molecular Neuroscience, Anesthesiology and Pain Medicine, Pharmacology and Pharmacology, having authored 76 papers that have together received 2.9k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (42 papers), Neuroscience and Neuropharmacology Research (9 papers), Neuropeptides and Animal Physiology (9 papers), Anesthesia and Pain Management (7 papers), Pharmacological Effects of Natural Compounds (6 papers), Pain Management and Opioid Use (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Ion channel regulation and function (4 papers). The work is most often cited by research in Physiology (1.2k citations), Anesthesiology and Pain Medicine (164 citations), Pharmacology (235 citations), Neurology (220 citations) and Cellular and Molecular Neuroscience (497 citations). Yuke Tian has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Ya‐Qun Zhou, Dawei Ye, Shuping Chen, Dai-Qiang Liu, Xuebi Tian, Jia Sun, Anne Manyande, Fei Cao, Bingrui Xiong and Zheng Liu. Their work appears in journals such as Biomedicine & Pharmacotherapy, Pharmacological Research, Experimental Neurology, Brain Research and Frontiers of Medicine.

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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