Angel Chen

23 papers receiving 568 citations

Peers

Angel Chen
Comparison fields: 5 of 97
  • Developmental Neuroscience 93
  • Genetics 188
  • Nephrology 90
  • Applied Psychology 28
  • Information Systems and Management 37
Replace Tian Hong with:
Tian Hong China
Ji-Eun Oh South Korea
Youngkyun Kim South Korea
Yunlong Tao China
Erika Timmer Netherlands
Ekaterina Klyachko United States
Florian Neubauer Switzerland
Luisa Milazzo Italy
Seongmi Choi South Korea
LouAnn Gross United States
Angel Chen relative to Tian Hong China Tian Hong's profile →
Citations per field
00.5×11.6×
Tian Hong · 1×
Citations per year

Countries citing papers authored by Angel Chen

Since Specialization
Citations

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

Fields of papers citing papers by Angel Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003272
2 201954
3 202153
4 202241
5 201022
6 201920
7 202216
8 201714
9 201713
10 201911
11 201511
12 20179
13 20099
14 20208
15 20178
16 20226
17 20176
18 20244
19 20244
20 20243

About Angel Chen

Angel Chen is a scholar working on Nephrology, Surgery, Information Systems and Management, Pathology and Forensic Medicine and Molecular Biology, having authored 24 papers that have together received 587 indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (5 papers), Diverse academic research themes (4 papers), Mesenchymal stem cell research (2 papers), Environmental Education and Sustainability (2 papers), Economic and Environmental Valuation (2 papers), Alkaline Phosphatase Research Studies (2 papers), Magnesium in Health and Disease (2 papers) and Pharmacological Effects and Toxicity Studies (1 paper). The work is most often cited by research in Developmental Neuroscience (93 citations), Genetics (188 citations), Nephrology (90 citations), Applied Psychology (28 citations) and Information Systems and Management (37 citations). Angel Chen has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Robert F. Miller, Yuehua Jiang, Mark Blackstad, Dori Henderson, Catherine M. Verfaillie, Robert Gifford, Karine Lacroix, Erik A. Imel, Anthony A. Portale and Mary Scott Roberts. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, PLoS ONE, Clinical Journal of the American Society of Nephrology, Scientific Reports and Journal of Orthopaedic Research®.

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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