Dongwon Yi

410 citations
28 papers · 280 · h-index 10

Impact in

Papers in

Dongwon Yi

25 papers receiving 272 citations

Peers

Dongwon Yi
Comparison fields: 5 of 70
  • Nephrology 46
  • Endocrinology, Diabetes and Metabolism 78
  • Physiology 78
  • Hepatology 19
  • Epidemiology 74
Replace Ehsan Amini‐Salehi with:
Ehsan Amini‐Salehi Iran
Eman G. Behiry Egypt
A. Zuccarelli Italy
Anastasios Serbis Greece
Faruk Kutlutürk Türkiye
Maria Anastasia Ricci Italy
Ruifeng Wang China
Djordje S. Popovic Serbia
Paul Wadwa United States
Árpád Lux Hungary
Dongwon Yi relative to Ehsan Amini‐Salehi Iran Ehsan Amini‐Salehi's profile →
Citations per field
00.5×2.7×
Ehsan Amini‐Salehi · 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201854
2 201949
3 201034
4 202218
5 201018
6 201414
7 201213
8 202312
9 202411
10 201610
11 20228
12 20177
13 20235
14 20224
15 20164
16
[Effect of domestic highly purified urinary follicle stimulating hormone on outcomes of in vitro fertilization-embryo transfer in controlled ovarian stimulation].
20133
17 20173
18 20242
19 20242
20 20232

About Dongwon Yi

Dongwon Yi is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Nephrology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 28 papers that have together received 280 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Diabetes Treatment and Management (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Blood Pressure and Hypertension Studies (3 papers), Chronic Kidney Disease and Diabetes (3 papers), Body Composition Measurement Techniques (2 papers), Diabetes Management and Research (2 papers) and Diet, Metabolism, and Disease (2 papers). The work is most often cited by research in Nephrology (46 citations), Endocrinology, Diabetes and Metabolism (78 citations), Physiology (78 citations), Hepatology (19 citations) and Epidemiology (74 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, Dong Wook Jeong, Sang Yeoup Lee, Dong‐Hoon Shin, Sun Young Kim and Ji Hyun Bae. Their work appears in journals such as Diabetes Metabolic Syndrome and Obesity, Diabetes & Metabolism Journal, Current Issues in Molecular Biology, Scientific Reports and Advanced Healthcare Materials.

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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