Gunseog Kang

533 total citations
17 papers, 379 citations indexed

About

Gunseog Kang is a scholar working on Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health and Statistics and Probability. According to data from OpenAlex, Gunseog Kang has authored 17 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 3 papers in Public Health, Environmental and Occupational Health and 3 papers in Statistics and Probability. Recurrent topics in Gunseog Kang's work include Advanced Statistical Methods and Models (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Gunseog Kang is often cited by papers focused on Advanced Statistical Methods and Models (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Gunseog Kang collaborates with scholars based in South Korea and United States. Gunseog Kang's co-authors include Kyungdo Han, Kun‐Ho Yoon, Seung‐Hwan Lee, Mee Kyoung Kim, Hyuk‐Sang Kwon, Yong‐Moon Park, Douglas M. Bates, Joon Oh Park, Joo‐Hyun Park and Young Suk Park and has published in prestigious journals such as Circulation, Gastroenterology and Scientific Reports.

In The Last Decade

Gunseog Kang

16 papers receiving 370 citations

Peers

Gunseog Kang
Comparison fields: 5 of 93
  • Endocrinology, Diabetes and Metabolism 114
  • Cardiology and Cardiovascular Medicine 111
  • Surgery 90
  • Epidemiology 52
  • Physiology 49
Heli Ghandehari United States
Lei Feng China
Yi-Tong Ma China
Jiaolong Ma China
Aya Hirata Japan
Pi-Kai Chang Taiwan
Junghyun Noh South Korea
Rong Luo China
Peggy Kostakou Greece
Hardik Vasnawala India
Heli Ghandehari United States View profile →
Citations per field, relative to Gunseog Kang
Gunseog Kang · 1×
Citations per year, relative to Gunseog Kang
Gunseog Kang · 1×

Countries citing papers authored by Gunseog Kang

Since Specialization
Citations

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

Fields of papers citing papers by Gunseog Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gunseog Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Gunseog Kang. A scholar is included among the top collaborators of Gunseog Kang 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 Gunseog Kang. Gunseog Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 5
2 21
3 39
4 6
5 9
6 53
7 188
8 1
9 1
10 27
11 4
12 0
13 1
14
Some Methods Determining Reasonable Royalty Rates for Patent Valuation - An Infringement Damages Model
2
15 2
16
MARGINAL CURVATURES FOR FUNCTIONS OF PARAMETERS IN NONLINEAR REGRESSION
3
17 17

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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2026