Haesook Min

1.8k citations
15 papers · 257 · h-index 11

Impact in

Papers in

Haesook Min

15 papers receiving 251 citations

Peers

Haesook Min
Comparison fields: 5 of 73
  • Orthopedics and Sports Medicine 32
  • Public Health, Environmental and Occupational Health 94
  • Endocrinology, Diabetes and Metabolism 43
  • Physiology 65
  • Cardiology and Cardiovascular Medicine 46
Replace Liangzhi Xu with:
Liangzhi Xu China
Prasong Tanmahasamut Thailand
Małgorzata Anna Słowińska Poland
Daruneewan Warodomwichit Thailand
Bùi Thị Nhung Vietnam
Kelly F. J. Stewart Netherlands
Majid Mufaqam Syed‐Abdul United States
Jorge Nahas-Neto Brazil
M Schulte United States
Haesook Min relative to Liangzhi Xu China Liangzhi Xu's profile →
Citations per field
00.5×3.8×
Liangzhi Xu · 1×
Citations per year

Countries citing papers authored by Haesook Min

Since Specialization
Citations

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

Fields of papers citing papers by Haesook Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201039
2 201238
3 201230
4 200829
5
Dietary Patterns and Prevalence Odds Ratio in Middle-aged Adults of Rural and Mid-size City in Korean Genome Epidemiology Study
200722
6 201322
7 200816
8 201515
9 201413
10 201613
11 201111
12 20125
13 20112
14 20131
15 20211

About Haesook Min

Haesook Min is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Physiology, having authored 15 papers that have together received 257 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Nutritional Studies and Diet (2 papers), Obesity, Physical Activity, Diet (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Nutrition, Health and Food Behavior (2 papers), Ethics in Clinical Research (2 papers) and Smoking Behavior and Cessation (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (32 citations), Public Health, Environmental and Occupational Health (94 citations), Endocrinology, Diabetes and Metabolism (43 citations), Physiology (65 citations) and Cardiology and Cardiovascular Medicine (46 citations). Haesook Min has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Younjhin Ahn, Sung Soo Kim, Jae Kyung Park, Seon‐Joo Park, Kwang‐Pil Ko, Yeonjung Kim, Cheong-Sik Kim, Yeonjung Kim, Jaehee Kim and Sung Soo Kim. Their work appears in journals such as Journal of Clinical Oncology, Annals of Epidemiology, Applied Sciences, Journal of Epidemiology and Experimental & Molecular Medicine.

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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