Congrong Wang

7.6k citations
189 papers · 3.8k · h-index 35

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 11
    • Retinoids in leukemia and cellular processes 7
    • Epigenetics and DNA Methylation 5
    • Adipose Tissue and Metabolism 5

Congrong Wang

176 papers receiving 3.7k citations

Peers

Congrong Wang
Comparison fields: 5 of 149
  • Endocrinology, Diabetes and Metabolism 415
  • Molecular Biology 1.4k
  • Genetics 469
  • Physiology 369
  • Cancer Research 199
Replace Negar Azarpira with:
Negar Azarpira Iran
Zhou Zhou China
Manuela Martins‐Green United States
Shaoqing Yu China
Ping Zhu China
Christina Maeda Takiya Brazil
Makoto Itoh Japan
Scott J. Cameron United States
Geraldine A. Hamilton United States
Hiroshi Ogawa Japan
Congrong Wang relative to Negar Azarpira Iran Negar Azarpira's profile →
Citations per field
00.5×2.7×
Negar Azarpira · 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 189 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009145
2 2004140
3 2007119
4 2013119
5 2007118
6 2015114
7 2013105
8 200990
9 201187
10 200186
11 201078
12 201970
13 201361
14 201060
15 202257
16 200356
17 201454
18 201552
19 202152
20 200950

About Congrong Wang

Congrong Wang is a scholar working on Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism, Epidemiology and Genetics, having authored 189 papers that have together received 3.8k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Retinoids in leukemia and cellular processes (7 papers), Pancreatic function and diabetes (7 papers), Adipose Tissue and Metabolism (5 papers), Epigenetics and DNA Methylation (5 papers), Genetic Associations and Epidemiology (5 papers) and Air Quality and Health Impacts (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (415 citations), Molecular Biology (1.4k citations), Genetics (469 citations), Physiology (369 citations) and Cancer Research (199 citations). Congrong Wang has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Weiping Jia, Yuqian Bao, Yong Zhang, Cheng Hu, Kun‐san Xiang, Yinan Zhang, Jingyi Lu, Aihua Zhao, Wen Qin and Wei Jia. Their work appears in journals such as Diabetic Medicine, PLoS ONE, Diabetes Research and Clinical Practice, Journal of Proteome Research and Aging.

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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