Yuke Tian

3.5k citations
76 papers · 2.7k indexed · 1 hit paper · h-index 34

Impact in

Papers in

Yuke Tian

76 papers receiving 2.6k citations

Hit Papers

Interleukin-6: an emerging regulator of pathological pain 2016 · 317 citations
3172016202620192022100200300

Peers

Yuke Tian
Comparison fields: 5 of 112
  • Physiology 1.3k
  • Anesthesiology and Pain Medicine 267
  • Pharmacology 292
  • Neurology 267
  • Cellular and Molecular Neuroscience 550
Replace Ya‐Qun Zhou with:
Ya‐Qun Zhou China
Qulian Guo China
Jianqiao Fang China
Peter Gerner United States
Chih‐Shung Wong Taiwan
Shiroh Kishioka Japan
Wangyuan Zou China
Norikazu Kiguchi Japan
Jong Yeon Park South Korea
Andrew J. Mannes United States
Yuke Tian relative to Ya‐Qun Zhou China Ya‐Qun Zhou's profile →
Citations per field
00.5×3.3×
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-authorship network

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
#Work
1 20246
2 202153
3 202122
4 202042
5 2019127
6 201959
7 201922
8 201776
9 201638
10 201637
11 201540
12 201486
13 201433
14 201319
15 201331
16 201234
17 201029
18 20071
19 200722
20 20073

About Yuke Tian

Yuke Tian is a scholar working on Anesthesiology and Pain Medicine, Physiology, Developmental Neuroscience, Cellular and Molecular Neuroscience and Pharmacology, having authored 76 papers that have together received 2.7k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (46 papers), Anesthesia and Pain Management (10 papers), Neuroscience and Neuropharmacology Research (10 papers), Neuropeptides and Animal Physiology (9 papers), Pain Management and Opioid Use (8 papers), Pharmacological Effects of Natural Compounds (8 papers), Nausea and vomiting management (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). The work is most often cited by research in Physiology (1.3k citations), Anesthesiology and Pain Medicine (267 citations), Pharmacology (292 citations), Neurology (267 citations) and Cellular and Molecular Neuroscience (550 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, Experimental Neurology, Pharmacological Research, Journal of Clinical Anesthesia and Pharmacology & Therapeutics.

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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