Kyungdo Han

30.5k total citations · 3 hit papers
1.2k papers, 20.4k citations indexed

About

Kyungdo Han is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kyungdo Han has authored 1.2k papers receiving a total of 20.4k indexed citations (citations by other indexed papers that have themselves been cited), including 266 papers in Epidemiology, 256 papers in Endocrinology, Diabetes and Metabolism and 247 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kyungdo Han's work include Diabetes, Cardiovascular Risks, and Lipoproteins (122 papers), Atrial Fibrillation Management and Outcomes (100 papers) and Liver Disease Diagnosis and Treatment (95 papers). Kyungdo Han is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (122 papers), Atrial Fibrillation Management and Outcomes (100 papers) and Liver Disease Diagnosis and Treatment (95 papers). Kyungdo Han collaborates with scholars based in South Korea, United States and United Kingdom. Kyungdo Han's co-authors include Yong Gyu Park, Eue‐Keun Choi, Seil Oh, Yong‐Moon Park, So‐Ryoung Lee, Jin‐Hyung Jung, Hyuk‐Sang Kwon, Seung‐Hwan Lee, Mee Kyoung Kim and Ga Eun Nam and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Kyungdo Han

1.1k papers receiving 20.1k citations

Hit Papers

The triglyceride glucose ... 2020 2026 2022 2024 2020 2024 2024 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kyungdo Han 4.5k 3.9k 3.7k 3.2k 2.6k 1.2k 20.4k
Christa Meisinger 4.3k 1.0× 4.6k 1.2× 4.9k 1.3× 4.2k 1.3× 2.9k 1.1× 590 20.7k
James S. Pankow 3.9k 0.9× 3.9k 1.0× 4.7k 1.3× 2.5k 0.8× 2.2k 0.8× 402 18.2k
Vilmundur Guðnason 5.8k 1.3× 3.6k 0.9× 2.7k 0.7× 3.3k 1.0× 4.8k 1.9× 492 22.9k
Toshiharu Ninomiya 4.8k 1.1× 2.7k 0.7× 5.6k 1.5× 2.9k 0.9× 2.9k 1.1× 383 21.1k
Fernando Costa 5.1k 1.1× 3.7k 0.9× 6.1k 1.6× 3.6k 1.1× 2.0k 0.8× 34 16.5k
Yutaka Kiyohara 3.2k 0.7× 3.0k 0.8× 2.5k 0.7× 3.2k 1.0× 2.0k 0.8× 291 16.6k
Matthew Allison 8.3k 1.8× 2.9k 0.7× 3.8k 1.0× 3.4k 1.1× 5.8k 2.2× 614 25.3k
Pekka Jousilahti 4.1k 0.9× 3.2k 0.8× 3.6k 1.0× 4.6k 1.5× 1.6k 0.6× 360 19.2k
Shouling Wu 5.1k 1.1× 3.0k 0.8× 2.8k 0.7× 1.8k 0.6× 1.3k 0.5× 637 12.6k
Joanne M. Murabito 9.2k 2.1× 2.7k 0.7× 2.8k 0.8× 4.2k 1.3× 3.4k 1.3× 227 20.3k

Countries citing papers authored by Kyungdo Han

Since Specialization
Citations

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

Fields of papers citing papers by Kyungdo Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyungdo Han

This figure shows the co-authorship network connecting the top 25 collaborators of Kyungdo Han. A scholar is included among the top collaborators of Kyungdo Han 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 Kyungdo Han. Kyungdo Han 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
1.
Song, Yong Sang, et al.. (2025). Impact of Changes in Obesity and Abdominal Obesity on Endometrial Cancer Risk in Young Korean Women: A Nationwide Cohort Study. Cancer Epidemiology Biomarkers & Prevention. 34(10). 1794–1800.
2.
Kim, Yun Gi, Kyungdo Han, Seung‐Young Roh, et al.. (2024). Association of temporal change in body mass index with sudden cardiac arrest in diabetes mellitus. Cardiovascular Diabetology. 23(1). 46–46. 3 indexed citations
4.
Yoon, Seo Yeon, Sang Chul Lee, Jee Hyun Suh, et al.. (2024). Different risks of early-onset and late-onset Parkinson disease in individuals with mental illness. npj Parkinson s Disease. 10(1). 17–17. 4 indexed citations
5.
Kim, Jaeryung, et al.. (2023). Early-Onset Ocular Motor Cranial Neuropathy Is a Strong Predictor of Dementia. Ophthalmology. 131(3). 288–301. 3 indexed citations
6.
Moon, Seong Mi, Hayoung Choi, Sang Hyuk Kim, et al.. (2023). Increased Lung Cancer Risk and Associated Risk Factors in Tuberculosis Survivors: A Korean Population-Based Study. Clinical Infectious Diseases. 77(9). 1329–1339. 36 indexed citations
7.
Jeong, Su‐Min, Jung Eun Yoo, Keun Hye Jeon, et al.. (2023). Associations of reproductive factors with incidence of myocardial infarction and ischemic stroke in postmenopausal women: a cohort study. BMC Medicine. 21(1). 64–64. 12 indexed citations
8.
Kim, Yun Gi, Kyungdo Han, Seung‐Young Roh, et al.. (2023). Association between low-density lipoprotein cholesterol and sudden cardiac arrest in people with diabetes mellitus. Cardiovascular Diabetology. 22(1). 36–36. 14 indexed citations
9.
Kim, Jinyoung, Kyungdo Han, Mee Kyoung Kim, et al.. (2023). Cumulative exposure to metabolic syndrome increases thyroid cancer risk in young adults: a population-based cohort study. The Korean Journal of Internal Medicine. 38(4). 526–533. 5 indexed citations
10.
Lee, Hyun‐Jung, Hyung‐Kwan Kim, Bong‐Seong Kim, et al.. (2023). Safety and effectiveness of anticoagulation with non-vitamin K antagonist oral anticoagulants and warfarin in patients on tuberculosis treatment. Scientific Reports. 13(1). 2060–2060. 3 indexed citations
11.
Park, Joo‐Hyun, et al.. (2023). Smoking Cessation and Pancreatic Cancer Risk in Individuals With Prediabetes and Diabetes: A Nationwide Cohort Study. Journal of the National Comprehensive Cancer Network. 21(11). 1149–1155.e3. 9 indexed citations
12.
Kim, Mee Kyoung, Kyungdo Han, Hyuk‐Sang Kwon, & Soon Jib Yoo. (2023). Risk of Pancreatic Cancer and Use of Dipeptidyl Peptidase 4 Inhibitors in Patients with Type 2 Diabetes: A Propensity Score-Matching Analysis. Endocrinology and Metabolism. 38(4). 426–435. 6 indexed citations
13.
Lim, Jaehyun, Tae‐Min Rhee, Hyun-Jung Lee, et al.. (2023). Comparative cardiovascular outcomes in type 2 diabetes patients taking dapagliflozin versus empagliflozin: a nationwide population-based cohort study. Cardiovascular Diabetology. 22(1). 188–188. 12 indexed citations
14.
Cho, Eun Ju, Su‐Min Jeong, Goh Eun Chung, et al.. (2023). Gamma-glutamyl transferase and risk of all-cause and disease-specific mortality: a nationwide cohort study. Scientific Reports. 13(1). 1751–1751. 20 indexed citations
17.
Seo, Ji Yeon, Eun Hyo Jin, Goh Eun Chung, et al.. (2023). The risk of colorectal cancer according to obesity status at four-year intervals: a nationwide population-based cohort study. Scientific Reports. 13(1). 8928–8928. 21 indexed citations
18.
Huh, Ji Hye, Eun Roh, Seong Jin Lee, et al.. (2022). Remnant Cholesterol Is an Independent Predictor of Type 2 Diabetes: A Nationwide Population-Based Cohort Study. Diabetes Care. 46(2). 305–312. 49 indexed citations
19.
Kim, Kyung‐Soo, Sangmo Hong, Kyungdo Han, & Cheol‐Young Park. (2022). Assessing the Validity of the Criteria for the Extreme Risk Category of Atherosclerotic Cardiovascular Disease: A Nationwide Population-Based Study. Journal of Lipid and Atherosclerosis. 11(1). 73–73. 6 indexed citations
20.
Choi, Hong Sang, Kyungdo Han, Jin‐Hyung Jung, et al.. (2019). The risk of end-stage renal disease in systemic lupus erythematosus. Medicine. 98(28). e16420–e16420. 21 indexed citations

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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