Hyewon Chung

829 citations
46 papers · 636 · h-index 16

Impact in

Papers in

Hyewon Chung

44 papers receiving 618 citations

Peers

Hyewon Chung
Comparison fields: 5 of 91
  • Reproductive Medicine 153
  • Pharmacology 42
  • Endocrinology, Diabetes and Metabolism 56
  • Obstetrics and Gynecology 24
  • Public Health, Environmental and Occupational Health 88
Replace Álvaro Cerda with:
Álvaro Cerda Brazil
Vincenzo Favilla Italy
J Martínek Czechia
Xiaoling Yang China
Wenhuan Feng China
Seongmin Kim South Korea
Amalia Dionyssiou‐Asteriou Greece
Isao Ikemoto Japan
Jiřina Martı́nková Czechia
Hiroya Mizutamari Japan
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Citations per field
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Álvaro Cerda · 1×
Citations per year

Countries citing papers authored by Hyewon Chung

Since Specialization
Citations

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

Fields of papers citing papers by Hyewon Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201575
2 200946
3 201740
4 202236
5 201536
6 202135
7 201729
8 201628
9 201525
10 202024
11 202124
12 201522
13 201822
14 201721
15 202020
16 201918
17 201715
18 201513
19 201811
20 202210

About Hyewon Chung

Hyewon Chung is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology, Endocrinology, Diabetes and Metabolism and Immunology, having authored 46 papers that have together received 636 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Biosimilars and Bioanalytical Methods (3 papers), Atrial Fibrillation Management and Outcomes (3 papers), Ovarian function and disorders (3 papers), Diabetes Treatment and Management (3 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Reproductive Medicine (153 citations), Pharmacology (42 citations), Endocrinology, Diabetes and Metabolism (56 citations), Obstetrics and Gynecology (24 citations) and Public Health, Environmental and Occupational Health (88 citations). Hyewon Chung has collaborated with scholars based in South Korea, Puerto Rico and United States. Frequent co-authors include Kyung‐Sang Yu, Hyejin Lee, Yeon‐Ah Sung, Seo Hyun Yoon, Joo‐Youn Cho, Jee-Young Oh, Jae‐Yong Chung, SeungHwan Lee, In‐Jin Jang and Kyungah Jeong. Their work appears in journals such as British Journal of Clinical Pharmacology, Pharmaceutics, International Clinical Psychopharmacology, Molecular Oncology and The Journal of Clinical Pharmacology.

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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