Tingyou Li

938 citations
42 papers · 771 · h-index 16

Impact in

Papers in

Tingyou Li

40 papers receiving 759 citations

Peers

Tingyou Li
Comparison fields: 5 of 86
  • Cellular and Molecular Neuroscience 380
  • Biological Psychiatry 40
  • Behavioral Neuroscience 21
  • Molecular Biology 413
  • Physiology 126
Replace Tomasz Lenda with:
Tomasz Lenda Poland
Eva Jerning Sweden
Monika Głuch‐Lutwin Poland
Marc R. Lake United States
Minhtam B. Tran United States
Lorenzo Polenzani Italy
Stuart R. Hawtin United Kingdom
Sándor Kolok Hungary
Sandrine Desrayaud Switzerland
Tingyou Li relative to Tomasz Lenda Poland Tomasz Lenda's profile →
Citations per field
00.5×1.5×2.1×
Tomasz Lenda · 1×
Citations per year

Countries citing papers authored by Tingyou Li

Since Specialization
Citations

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

Fields of papers citing papers by Tingyou Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201485
2 202283
3 200449
4 200348
5 200443
6 200737
7 202436
8 200435
9 200535
10 200031
11 201929
12 202124
13 201120
14 200618
15 200617
16 201416
17 200514
18 200614
19 200412
20 201412

About Tingyou Li

Tingyou Li is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Neurology and Organic Chemistry, having authored 42 papers that have together received 771 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (22 papers), Receptor Mechanisms and Signaling (16 papers), Pharmacological Receptor Mechanisms and Effects (8 papers), Chemical Synthesis and Analysis (8 papers), Pain Mechanisms and Treatments (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (380 citations), Biological Psychiatry (40 citations), Behavioral Neuroscience (21 citations), Molecular Biology (413 citations) and Physiology (126 citations). Tingyou Li has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yuko Tsuda, Yoshio C Okada, Lawrence H. Lazarus, Sharon D. Bryant, Akihiro Ambo, Yusuke Sasaki, Yunden Jinsmaa, Yoshio Fujita, Yajuan Qin and Dong‐Ya Zhu. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Bioorganic & Medicinal Chemistry, Chemical and Pharmaceutical Bulletin 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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