Congcong Ding

539 citations
31 papers · 322 · h-index 9

Impact in

Papers in

Congcong Ding

28 papers receiving 319 citations

Peers

Congcong Ding
Comparison fields: 5 of 61
  • Nephrology 28
  • Cardiology and Cardiovascular Medicine 55
  • Geriatrics and Gerontology 5
  • Endocrinology, Diabetes and Metabolism 22
  • Rheumatology 15
Replace Nagisa Morikawa with:
Nagisa Morikawa Japan
Viknesh Selvarajah United Kingdom
Mustafa Adem Tatlısu Türkiye
Semin Cho South Korea
Farshad Shakerian Iran
Stylianos Lampropoulos Greece
Ana Oliveira Portugal
Marco Bernardi Italy
Luigi Spadafora Italy
Yavuz Yeniçerioğlu Türkiye
Congcong Ding relative to Nagisa Morikawa Japan Nagisa Morikawa's profile →
Citations per field
00.5×1.5×2.4×
Nagisa Morikawa · 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 2022104
2 202132
3 202131
4 202027
5 202223
6 202012
7 202012
8 202110
9 20239
10 20238
11 20207
12 20246
13 20245
14 20235
15 20225
16 20205
17 20204
18 20223
19 20223
20 20232

About Congcong Ding

Congcong Ding is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Rheumatology, Nephrology and Molecular Biology, having authored 31 papers that have together received 322 indexed citations. Recurring topics across this work include Folate and B Vitamins Research (6 papers), Cardiovascular Health and Disease Prevention (5 papers), Peripheral Artery Disease Management (5 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Chronic Kidney Disease and Diabetes (2 papers) and Alcohol Consumption and Health Effects (2 papers). The work is most often cited by research in Nephrology (28 citations), Cardiology and Cardiovascular Medicine (55 citations), Geriatrics and Gerontology (5 citations), Endocrinology, Diabetes and Metabolism (22 citations) and Rheumatology (15 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 Huang, Lihua Hu, Yumeng Shi and Junpei Li. Their work appears in journals such as Journal of Clinical Hypertension, Frontiers in Endocrinology, Nutrition Metabolism and Cardiovascular Diseases, Lipids in Health and Disease and Cardiovascular Drugs and Therapy.

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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