Jieling Chen

591 citations
37 papers · 386 · h-index 9

Impact in

Papers in

Jieling Chen

33 papers receiving 381 citations

Peers

Jieling Chen
Comparison fields: 5 of 88
  • Endocrinology, Diabetes and Metabolism 92
  • Epidemiology 45
  • Oncology 35
  • Health 10
  • Applied Psychology 6
Replace Xiaoyun Cao with:
Xiaoyun Cao China
Guoyi Yang China
Aria Dianatinasab Iran
Mohammad Fararjeh Jordan
Pragya Sharma India
Francesca Mai Italy
Joy A. Phillips United States
Julianne Barry Canada
Tan Van Bui Australia
Sydney C. D’Souza India
Jieling Chen relative to Xiaoyun Cao China Xiaoyun Cao's profile →
Citations per field
00.5×3.5×
Xiaoyun Cao · 1×
Citations per year

Countries citing papers authored by Jieling Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jieling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201288
2 202158
3 201437
4 201426
5 202321
6 202117
7 201717
8 202316
9 201715
10 20238
11 20208
12 20237
13 20197
14 20186
15 20245
16 20205
17 20245
18 20215
19 20215
20 20234

About Jieling Chen

Jieling Chen is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Molecular Biology, Neurology and Family Practice, having authored 37 papers that have together received 386 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (8 papers), Diabetes Management and Research (5 papers), Diabetes Management and Education (3 papers), Medication Adherence and Compliance (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Ferroptosis and cancer prognosis (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (92 citations), Epidemiology (45 citations), Oncology (35 citations), Health (10 citations) and Applied Psychology (6 citations). Jieling Chen has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Cho Lee Wong, Larry Radican, Vinay Mehta, Qiaoyi Zhang, Michael J. Davies, Samuel S. Engel, Kimberly G. Brodovicz, Yang Bai, Yuen Yu Chong and Huiyuan Li. Their work appears in journals such as Diabetes Obesity and Metabolism, European Journal of Heart Failure, Diabetes Therapy, International Journal of Nursing Studies and International Immunopharmacology.

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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