Ai–Jun Li

46 papers receiving 1.0k citations

Peers

Ai–Jun Li
Comparison fields: 5 of 89
  • Endocrine and Autonomic Systems 551
  • Behavioral Neuroscience 70
  • Neurology 99
  • Cognitive Neuroscience 231
  • Biological Psychiatry 27
Replace Marcelo R. Zimmer with:
Marcelo R. Zimmer United States
Anne Lorsignol France
Kim H. Harris Canada
Grégory Conductier France
Kartavya Sharma India
Federico Portillo Spain
Laura Jaeger United States
Chen Liu United States
James W. Sharp United States
Chia‐Shan Wu United States
Ai–Jun Li relative to Marcelo R. Zimmer United States Marcelo R. Zimmer's profile →
Citations per field
00.5×1.5×2.1×
Marcelo R. Zimmer · 1×
Citations per year

Countries citing papers authored by Ai–Jun Li

Since Specialization
Citations

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

Fields of papers citing papers by Ai–Jun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997126
2 200693
3 201166
4 200459
5 200459
6 200055
7 200947
8 200640
9 201237
10 201536
11 201735
12 202033
13 201631
14 201429
15 201126
16 200125
17 200820
18 201517
19 202016
20 201316

About Ai–Jun Li

Ai–Jun Li is a scholar working on Endocrine and Autonomic Systems, Cognitive Neuroscience, Epidemiology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 46 papers that have together received 1.0k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (18 papers), Sleep and Wakefulness Research (12 papers), Neuroscience of respiration and sleep (9 papers), Biochemical Analysis and Sensing Techniques (6 papers), Pancreatic function and diabetes (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Receptor Mechanisms and Signaling (4 papers) and Neuropeptides and Animal Physiology (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (551 citations), Behavioral Neuroscience (70 citations), Neurology (99 citations), Cognitive Neuroscience (231 citations) and Biological Psychiatry (27 citations). Ai–Jun Li has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Sue Ritter, Qing Wang, Thu T. Dinh, Toshihiko Katafuchi, Shinichiro Oda, Robert C. Speth, Kishor Bugarith, Yukihiko Kitamura, Tetsuro Hori and Seiichi Hirota. Their work appears in journals such as American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Endocrinology, American Journal of Physiology-Endocrinology and Metabolism, Physiology & Behavior and Diabetes.

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.

Explore authors with similar magnitude of impact