Li Cai

1.7k citations
24 papers · 1.4k indexed · 1 hit paper · h-index 12

Li Cai

24 papers receiving 1.4k citations

Hit Papers

AMPK: An Emerging Drug Target for Diabetes and the Metabo...8952009202620142020250500750

Peers

Li Cai
Comparison fields: 5 of 101
  • Geriatrics and Gerontology 72
  • Endocrinology, Diabetes and Metabolism 274
  • Physiology 322
  • Molecular Biology 790
  • Developmental Neuroscience 43
Replace Piet Finckenberg with:
Piet Finckenberg Finland
Ying Tan China
Dominique Détaille France
Modar Kassan United States
Jianhua Huang China
Pei‐Ying Pai Taiwan
Changhan Ouyang China
Veera Ganesh Yerra India
Rocı́o Foncea Chile
Li Cai relative to Piet Finckenberg Finland Piet Finckenberg's profile →
Citations per field
00.5×1.5×
Piet Finckenberg · 1×
Citations per year

Countries citing papers authored by Li Cai

Since Specialization
Citations

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

Fields of papers citing papers by Li Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20241
4 202224
5 202125
6 202018
7 20201
8 201952
9 20171
10 20151
11 20152
12 201467
13 201265
14 201139
15
Gene expression of lymphocyte prolactin receptor was suppressed in lactating mothers.
20105
16
AMPK: An Emerging Drug Target for Diabetes and the Metabolic Syndromebreakdown →
2009895
17 20085
18 2004143
19
Cardiac conductive system excitation maps using intracardiac tissue Doppler imaging.
20034
20 199914

About Li Cai

Li Cai is a scholar working on Developmental Neuroscience, Neurology and Critical Care and Intensive Care Medicine, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Anesthesia and Neurotoxicity Research (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Cardiac pacing and defibrillation studies (3 papers), Cardiac Arrhythmias and Treatments (3 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Erythrocyte Function and Pathophysiology (2 papers), Diet, Metabolism, and Disease (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Geriatrics and Gerontology (72 citations), Endocrinology, Diabetes and Metabolism (274 citations) and Physiology (322 citations). Li Cai has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Gaochao Zhou, Bei B. Zhang, Lu Cai, Guihua Zhou, Ke‐Xuan Liu, Yunsheng Li, Wenqi Huang, Yan Wu, Miao Xu and Wanlong Lei. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and Cell Metabolism.

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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