EunSeok Cha

1.8k citations
46 papers · 1.3k indexed · 1 hit paper · h-index 15
Topics
Obesity, Physical Activity, Diet (10 papers)Diabetes Management and Research (7 papers)Diabetes Management and Education (6 papers)

In The Last Decade

EunSeok Cha

41 papers receiving 1.3k citations

Hit Papers

Translation of scales in cross‐cultural research: issues ...20072026201320192007200400600

Peers

EunSeok Cha
Comparison fields: 5 of 138
  • General Health Professions 388
  • Public Health, Environmental and Occupational Health 260
  • Clinical Psychology 227
  • Sociology and Political Science 176
  • Social Psychology 156
Replace Jillian Inouye with:
Jillian Inouye United States
Maya Shaha Switzerland
Patricia S. Jones United States
Aleda M.H. Chen United States
Igor Švab Slovenia
Cynthia S. Jacelon United States
José Frantz South Africa
Cheryl Dellasega United States
Horst Christian Vollmar Germany
Leigh Ann Simmons United States
EunSeok Cha relative to Jillian Inouye United States Jillian Inouye's profile →
Citations per field
00.5×3.6×
Jillian Inouye · 1×
Citations per year

Countries citing papers authored by EunSeok Cha

Since Specialization
Citations

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

Fields of papers citing papers by EunSeok Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of EunSeok Cha

This figure shows the co-authorship network connecting the top 25 collaborators of EunSeok Cha. A scholar is included among the top collaborators of EunSeok Cha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with EunSeok Cha. EunSeok Cha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 1
5 2
6 0
7 6
8 6
9 4
10 3
11 24
12 7
13 6
14 12
15 1
16 44
17 2
18
과체중 및 비만 대학생의 체력증진을 위한 자기효능이론 기반 운동프로그램의 효과검증
1
19 6
20 59

About EunSeok Cha

EunSeok Cha is a scholar working on Family Practice, Endocrinology, Diabetes and Metabolism and Leadership and Management, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (10 papers), Diabetes Management and Research (7 papers) and Diabetes Management and Education (6 papers). The work is most often cited by research in Family Practice (58 citations), Issues, ethics and legal aspects (26 citations) and General Health Professions (388 citations). EunSeok Cha has collaborated with scholars based in United States, South Korea and Puerto Rico. Frequent co-authors include Kevin H. Kim, Judith A. Erlen, Sandra B. Dunbar, Guillermo E. Umpierrez, Thelma E. Patrick, Willa M. Doswell, Melissa Spezia Faulkner, Susan M. Sereika, Betty Braxter and Denise Charron-Prochownik. Their work appears in journals such as SHILAP Revista de lepidopterología, Diabetes and International Journal of Environmental Research and Public Health.

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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