Jieling Chen

556 citations
39 papers · 400 · h-index 9

Impact in

Papers in

Jieling Chen

34 papers receiving 391 citations

Peers

Jieling Chen
Comparison fields: 5 of 66
  • Endocrinology, Diabetes and Metabolism 107
  • Drug Discovery 1
  • Oncology 39
  • Epidemiology 53
  • Clinical Psychology 37
Replace Fan Hu with:
Fan Hu China
Tania Dehesh Iran
Hongyan Xiong China
Sigrid Bjerge Gribsholt Denmark
Ladislav Štěpánek Czechia
David E. Kloecker United Kingdom
Juan Rafael Albertorio‐Diaz United States
Nathan S. McClure Canada
Charlotte Baker United States
Yassamine Bentata Morocco
Jieling Chen relative to Fan Hu China Fan Hu's profile →
Citations per field
00.5×5×10×15×22×
Fan Hu · 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 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201289
2 202163
3 201426
4 201223
5 202322
6 202320
7 202118
8 201717
9 201715
10 20209
11 20239
12 20198
13 20238
14 20248
15 20217
16 20247
17 20186
18 20216
19 20256
20 20205

About Jieling Chen

Jieling Chen is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Economics and Econometrics, Family Practice and Neurology, having authored 39 papers that have together received 400 indexed citations. Recurring topics across this work include Diabetes Management and Research (11 papers), Diabetes Treatment and Management (10 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Heart Failure Treatment and Management (4 papers), Pneumonia and Respiratory Infections (2 papers), Medication Adherence and Compliance (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Nursing care and research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (107 citations), Drug Discovery (1 citation), Oncology (39 citations), Epidemiology (53 citations) and Clinical Psychology (37 citations). Jieling Chen has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Cho Lee Wong, John D. Grabenstein, Yang Bai, Kimberly Goodnow Brodovicz, Samuel S. Engel, Qiaoyi Zhang, Huiyuan Li, Vinay Mehta, Yuen Yu Chong and Larry Radican. Their work appears in journals such as Diabetes Obesity and Metabolism, European Journal of Heart Failure, Diabetes Therapy, Journal of Diabetes and its Complications and Innovation in 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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