Cailong Chen

452 citations
20 papers · 349 · h-index 10

Impact in

Papers in

Cailong Chen

20 papers receiving 346 citations

Peers

Cailong Chen
Comparison fields: 5 of 89
  • Statistical and Nonlinear Physics 66
  • Cancer Research 61
  • Pulmonary and Respiratory Medicine 90
  • Sensory Systems 14
  • Nutrition and Dietetics 31
Replace Ming‐Jim Yang with:
Ming‐Jim Yang United States
Jiangbin Chen China
Xiuxian Yu China
Camilo Palazuelos Spain
Yibing Chen China
Wei-dong Pei China
Anupam Sinha United States
Xiao Wu China
Ajit H. Janardhan United States
Cailong Chen relative to Ming‐Jim Yang United States Ming‐Jim Yang's profile →
Citations per field
00.5×8.2×
Ming‐Jim Yang · 1×
Citations per year

Countries citing papers authored by Cailong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Cailong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2021151
2 201144
3 202029
4 201017
5 202015
6 202213
7 201112
8 201011
9 20219
10 20239
11 20247
12 20206
13 20216
14 20225
15 20104
16 20114
17 20213
18 20212
19 20111
20 20251

About Cailong Chen

Cailong Chen is a scholar working on Statistical and Nonlinear Physics, Genetics, Molecular Biology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 20 papers that have together received 349 indexed citations. Recurring topics across this work include Opinion Dynamics and Social Influence (5 papers), Complex Network Analysis Techniques (5 papers), Evolutionary Game Theory and Cooperation (2 papers), Diabetes and associated disorders (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Infant Nutrition and Health (2 papers), Birth, Development, and Health (2 papers) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (66 citations), Cancer Research (61 citations), Pulmonary and Respiratory Medicine (90 citations), Sensory Systems (14 citations) and Nutrition and Dietetics (31 citations). Cailong Chen has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Li‐Qiang Qin, Wenbo Du, Jiaying Xu, Yunhong Li, Xianbin Cao, Kai Yang, Zheng Zhang, Xing Tong, Jun Zhang and Jinrong Yang. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, BioMetals, Chinese Physics Letters, International Journal of Biological Macromolecules and American Journal of Clinical Nutrition.

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