Tao Che

6.9k citations
69 papers · 3.5k indexed · 4 hit papers · h-index 24

Impact in

Papers in

Tao Che

67 papers receiving 3.5k citations

Hit Papers

TRUPATH, an open-source biosensor platform for interrogating the GPCR transducerome 2020 · 339 citations
3392018202620202023200400600

Peers

Tao Che
Comparison fields: 5 of 148
  • Cellular and Molecular Neuroscience 1.2k
  • Computational Theory and Mathematics 751
  • Molecular Biology 2.3k
  • Pharmacology 155
  • Pharmacology 293
Replace Suwen Zhao with:
Suwen Zhao China
Misty M. Attwood Sweden
John D. McCorvy United States
Jens Carlsson Sweden
Vincent Setola United States
Brian D. Hudson United Kingdom
Wesley K. Kroeze United States
Daniel Wacker United States
Fang Zheng United States
J. Robert Lane United States
Tao Che relative to Suwen Zhao China Suwen Zhao's profile →
Citations per field
00.5×1.6×
Suwen Zhao · 1×
Citations per year

Countries citing papers authored by Tao Che

Since Specialization
Citations

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

Fields of papers citing papers by Tao Che

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 20250
4 20251
5 202436
6 202422
7 202418
8 20241
9 20236
10 202319
11 202343
12 202272
13 202277
14
Structure of a Hallucinogen-Activated Gq-Coupled 5-HT2A Serotonin Receptor
Hit paper breakdown →
2020306
15 202093
16 2018116
17
Structure of the D2 dopamine receptor bound to the atypical antipsychotic drug risperidone
Hit paper breakdown →
2018331
18 201717
19 2017217
20 201634

About Tao Che

Tao Che is a scholar working on Cellular and Molecular Neuroscience, Molecular Medicine, Pharmacology, Molecular Biology and Biophysics, having authored 69 papers that have together received 3.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (33 papers), Neuropeptides and Animal Physiology (25 papers), Pharmacological Receptor Mechanisms and Effects (16 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Chemical synthesis and alkaloids (5 papers), Antibiotic Resistance in Bacteria (5 papers), Perovskite Materials and Applications (4 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Computational Theory and Mathematics (751 citations), Molecular Biology (2.3k citations), Pharmacology (155 citations) and Pharmacology (293 citations). Tao Che has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Bryan L. Roth, Brian K. Shoichet, Anat Levit, Daniel Wacker, Sheng Wang, John D. McCorvy, Jeffrey F. DiBerto, Jiankun Lyu, B. Krumm and Yurii S. Moroz. Their work appears in journals such as Nature, Biochemistry, Nature Communications, Nature Chemical Biology and ACS Chemical Neuroscience.

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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