Congcong Ding

540 citations
31 papers · 380 · h-index 10

Impact in

Papers in

Congcong Ding

27 papers receiving 375 citations

Peers

Congcong Ding
Comparison fields: 5 of 50
  • Endocrinology, Diabetes and Metabolism 83
  • Cardiology and Cardiovascular Medicine 96
  • Nephrology 38
  • Rheumatology 27
  • Physiology 41
Replace Elisabetta Stenner with:
Elisabetta Stenner Italy
Guoqing Yin China
Ali Uğur Uslu Türkiye
Yanqing Wu China
Tamara Glavinovic Canada
Valery I. Podzolkov Russia
Toshiya Iwasaki Japan
Serkan Ordu Türkiye
Liu­xin Wu China
Abdullah İçli Türkiye
Congcong Ding relative to Elisabetta Stenner Italy Elisabetta Stenner's profile →
Citations per field
00.5×2×4×5.4×
Elisabetta Stenner · 1×
Citations per year

Countries citing papers authored by Congcong Ding

Since Specialization
Citations

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

Fields of papers citing papers by Congcong Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022110
2 202136
3 202132
4 202030
5 202127
6 202223
7 202013
8 202013
9 202312
10 202110
11 202410
12 20239
13 20207
14 20247
15 20236
16 20205
17 20225
18 20245
19 20204
20 20223

About Congcong Ding

Congcong Ding is a scholar working on Cardiology and Cardiovascular Medicine, Rheumatology, Nephrology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 31 papers that have together received 380 indexed citations. Recurring topics across this work include Folate and B Vitamins Research (8 papers), Blood Pressure and Hypertension Studies (6 papers), Peripheral Artery Disease Management (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Cardiovascular Health and Disease Prevention (4 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Liver Disease Diagnosis and Treatment (2 papers) and Chronic Kidney Disease and Diabetes (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (83 citations), Cardiology and Cardiovascular Medicine (96 citations), Nephrology (38 citations), Rheumatology (27 citations) and Physiology (41 citations). Congcong Ding has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Xiaoshu Cheng, Wei Zhou, Lingjuan Zhu, Huihui Bao, Minghui Li, Tao Wang, Xiao Bo Huang, Lihua Hu, Yumeng Shi and Junpei Li. Their work appears in journals such as Journal of Clinical Hypertension, Frontiers in Endocrinology, Lipids in Health and Disease, Nutrition Metabolism and Cardiovascular Diseases and Molecular and Cellular Biochemistry.

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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