Congrong Wang

8.0k citations
224 papers · 4.1k indexed · h-index 35

Impact in

Papers in

Congrong Wang

210 papers receiving 4.0k citations

Peers

Congrong Wang
Comparison fields: 5 of 159
  • Endocrinology, Diabetes and Metabolism 664
  • Molecular Biology 1.8k
  • Genetics 635
  • Physiology 511
  • Biochemistry 109
Replace Haseeb A. Khan with:
Haseeb A. Khan Saudi Arabia
Negar Azarpira Iran
Mariano Rodríguez Spain
Hongwei Wang China
Shaoqing Yu China
Jing Hua China
Won‐Woo Lee South Korea
Hiroaki Okabe Japan
Yuzhen Zhang China
Makoto Itoh Japan
Congrong Wang relative to Haseeb A. Khan Saudi Arabia Haseeb A. Khan's profile →
Citations per field
00.5×1.5×
Haseeb A. Khan · 1×
Citations per year

Countries citing papers authored by Congrong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Congrong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 224 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009144
2 2004140
3 2007119
4 2013118
5 2007118
6 2015113
7 2013103
8 200990
9 201187
10 200186
11 201076
12 201968
13 201361
14 201060
15 200356
16 201753
17 200852
18 201552
19 201452
20 200950

About Congrong Wang

Congrong Wang is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Clinical Biochemistry and Health, Toxicology and Mutagenesis, having authored 224 papers that have together received 4.1k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (16 papers), Pancreatic function and diabetes (15 papers), Metabolomics and Mass Spectrometry Studies (14 papers), Genetic Associations and Epidemiology (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Diabetes and associated disorders (11 papers), Liver Disease Diagnosis and Treatment (10 papers) and Birth, Development, and Health (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (664 citations), Molecular Biology (1.8k citations), Genetics (635 citations), Physiology (511 citations) and Biochemistry (109 citations). Congrong Wang has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Weiping Jia, Yuqian Bao, Cheng Hu, Kun‐san Xiang, Yong Zhang, Yinan Zhang, Jingyi Lu, Aihua Zhao, Wen Qin and Junxi Lu. Their work appears in journals such as Diabetic Medicine, PLoS ONE, Journal of Proteome Research, Diabetes Research and Clinical Practice and Scientific Reports.

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

Rankless by CCL
2026