Chung Eun Hwang

803 citations
48 papers · 687 · h-index 15

Impact in

Papers in

Chung Eun Hwang

46 papers receiving 657 citations

Peers

Chung Eun Hwang
Comparison fields: 5 of 62
  • Food Science 427
  • Pathology and Forensic Medicine 262
  • Biochemistry 79
  • Nutrition and Dietetics 157
  • Plant Science 221
Replace Shuai Hu with:
Shuai Hu China
Digar Singh South Korea
Dejing Chen China
Tijana Đorđević Serbia
Yuanfeng Wang China
Isabel Juániz Spain
Cunqiang Ma China
Hun-Ju Ham South Korea
Helena Čížková Czechia
Yuxin Huang China
Chung Eun Hwang relative to Shuai Hu China Shuai Hu's profile →
Citations per field
00.5×7.3×
Shuai Hu · 1×
Citations per year

Countries citing papers authored by Chung Eun Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Chung Eun Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201887
2 202084
3 201852
4 201844
5 201833
6 201431
7 201631
8 202027
9 201824
10 201424
11 201320
12 201419
13 201716
14 201815
15 201515
16 201514
17 202012
18 201511
19 201810
20 20179

About Chung Eun Hwang

Chung Eun Hwang is a scholar working on Food Science, Pathology and Forensic Medicine, Plant Science, Molecular Biology and Nutrition and Dietetics, having authored 48 papers that have together received 687 indexed citations. Recurring topics across this work include Food Quality and Safety Studies (25 papers), Phytoestrogen effects and research (22 papers), Probiotics and Fermented Foods (10 papers), Phytochemicals and Antioxidant Activities (9 papers), Protein Hydrolysis and Bioactive Peptides (9 papers), GABA and Rice Research (8 papers), Fermentation and Sensory Analysis (6 papers) and Nutrition, Health and Food Behavior (4 papers). The work is most often cited by research in Food Science (427 citations), Pathology and Forensic Medicine (262 citations), Biochemistry (79 citations), Nutrition and Dietetics (157 citations) and Plant Science (221 citations). Chung Eun Hwang has collaborated with scholars based in South Korea, Bangladesh and United States. Frequent co-authors include Kye Man Cho, Jin Hwan Lee, Hee Yul Lee, Md. Azizul Haque, Weon Taek Seo, Du Hyun Kim, Byong Won Lee, Yeong Hun Song, Hyun Kwon Suh and Jong Min Ko. Their work appears in journals such as Food Chemistry, Journal of Food and Drug Analysis, Journal of Functional Foods, Process Biochemistry and Nutrients.

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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