Dongwon Yi

428 citations
29 papers · 306 · h-index 10

Impact in

Papers in

Dongwon Yi

27 papers receiving 296 citations

Peers

Dongwon Yi
Comparison fields: 5 of 68
  • Nephrology 44
  • Endocrinology, Diabetes and Metabolism 47
  • Physiology 72
  • Epidemiology 56
  • Hepatology 10
Replace Anjumanara Omar with:
Anjumanara Omar Kenya
Eman G. Behiry Egypt
Zeynep Bıyıklı Türkiye
A. Zuccarelli Italy
Monica Ragucci Italy
Ming-Chieh Tsai Taiwan
Massimo Locatelli Italy
Jeffrey M. Curtis United States
Subhashish Agarwal United States
Ziqi Tan China
Dongwon Yi relative to Anjumanara Omar Kenya Anjumanara Omar's profile →
Citations per field
00.5×3.5×
Anjumanara Omar · 1×
Citations per year

Countries citing papers authored by Dongwon Yi

Since Specialization
Citations

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

Fields of papers citing papers by Dongwon Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201860
2 201956
3 201035
4 201020
5 202219
6 202414
7 201414
8 201213
9 202312
10 201611
11 20229
12 20177
13 20225
14 20235
15 20164
16 20243
17
[Effect of domestic highly purified urinary follicle stimulating hormone on outcomes of in vitro fertilization-embryo transfer in controlled ovarian stimulation].
20133
18 20173
19 20242
20 20232

About Dongwon Yi

Dongwon Yi is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Nephrology, Biomedical Engineering and Cardiology and Cardiovascular Medicine, having authored 29 papers that have together received 306 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Diabetes Treatment and Management (3 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Biosensors and Analytical Detection (2 papers), Nutrition and Health in Aging (2 papers), Adrenal and Paraganglionic Tumors (2 papers) and Gold and Silver Nanoparticles Synthesis and Applications (2 papers). The work is most often cited by research in Nephrology (44 citations), Endocrinology, Diabetes and Metabolism (47 citations), Physiology (72 citations), Epidemiology (56 citations) and Hepatology (10 citations). Dongwon Yi has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Yang Ho Kang, Seok Man Son, Ah Reum Khang, Hye Won Lee, Min Jin Lee, Sang Yeoup Lee, Dong Wook Jeong, Sun Young Kim, Dong‐Hoon Shin and Ji Hyun Bae. Their work appears in journals such as Diabetes Metabolic Syndrome and Obesity, Diabetes & Metabolism Journal, PLoS ONE, Current Issues in Molecular Biology and Cellular and Molecular Biology.

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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