Eung-Gi Kwon

1.6k citations
53 papers · 1.2k indexed · 1 hit paper · h-index 12

Impact in

Papers in

Eung-Gi Kwon

46 papers receiving 1.2k citations

Hit Papers

Validation and reproducibility of food frequency questionnaire for Korean genome epidemiologic study 2007 · 667 citations
6672007202620132019200400600

Peers

Eung-Gi Kwon
Comparison fields: 5 of 109
  • Animal Science and Zoology 260
  • Nutrition and Dietetics 260
  • Agronomy and Crop Science 159
  • Public Health, Environmental and Occupational Health 348
  • Physiology 259
Replace Ping Kang with:
Ping Kang China
G.H. McIntosh Australia
Adel Pezeshki United States
Robert F. Bertolo Canada
Ian Givens United Kingdom
Zhisheng Wang China
Katharina Elisabeth Scholz-Ahrens Germany
Marie‐France Palin Canada
Hee-Bok Park South Korea
Eung-Gi Kwon relative to Ping Kang China Ping Kang's profile →
Citations per field
00.5×4.4×
Ping Kang · 1×
Citations per year

Countries citing papers authored by Eung-Gi Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Eung-Gi Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eung-Gi Kwon. 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 Eung-Gi Kwon. The network helps show where Eung-Gi Kwon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20224
3 20200
4 20200
5 20201
6 201920
7 20193
8 20195
9 20185
10 201710
11 20161
12 201431
13 20131
14 20130
15 201316
16 201383
17 20121
18 20097
19 20081
20 20062

About Eung-Gi Kwon

Eung-Gi Kwon is a scholar working on Agronomy and Crop Science, Animal Science and Zoology, Nutrition and Dietetics, Food Science and Ecology, Evolution, Behavior and Systematics, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (15 papers), Genetic and phenotypic traits in livestock (13 papers), Food Quality and Safety Studies (11 papers), Reproductive Physiology in Livestock (11 papers), Agriculture, Soil, Plant Science (10 papers), Meat and Animal Product Quality (10 papers), Nutrition, Health and Food Behavior (9 papers) and Effects of Environmental Stressors on Livestock (6 papers). The work is most often cited by research in Animal Science and Zoology (260 citations), Nutrition and Dietetics (260 citations), Agronomy and Crop Science (159 citations), Public Health, Environmental and Occupational Health (348 citations) and Physiology (259 citations). Eung-Gi Kwon has collaborated with scholars based in South Korea, United States and Sri Lanka. Frequent co-authors include C Park, Jae Eun Shim, Young‐Hoon Joo, Yo Han Ahn, Kuchan Kimm, Jin Young Jeong, Myunggi Baik, Seok Ki Im, Kang-Seok Seo and Jun-Kyu Son. Their work appears in journals such as Journal of Animal Science and Technology, Asian-Australasian Journal of Animal Sciences, Meat Science, Animals and Journal of Animal Science.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026