Tae‐Hwa Go

424 total citations
34 papers, 228 citations indexed

About

Tae‐Hwa Go is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Tae‐Hwa Go has authored 34 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 6 papers in Cardiology and Cardiovascular Medicine and 5 papers in Surgery. Recurrent topics in Tae‐Hwa Go's work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Lipoproteins and Cardiovascular Health (4 papers) and Atrial Fibrillation Management and Outcomes (3 papers). Tae‐Hwa Go is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Lipoproteins and Cardiovascular Health (4 papers) and Atrial Fibrillation Management and Outcomes (3 papers). Tae‐Hwa Go collaborates with scholars based in South Korea, United States and Nigeria. Tae‐Hwa Go's co-authors include Dae Ryong Kang, Jang‐Young Kim, Ji Hye Huh, Sung Gyun Ahn, Jun‐Won Lee, Eun Jig Lee, Young Jun Park, Dong‐Hyuk Cho, Sang Baek Koh and Sung Hoon Kim and has published in prestigious journals such as Circulation, Blood and PLoS ONE.

In The Last Decade

Tae‐Hwa Go

29 papers receiving 227 citations

Peers

Tae‐Hwa Go
Comparison fields: 5 of 71
  • Endocrinology, Diabetes and Metabolism 67
  • Cardiology and Cardiovascular Medicine 50
  • Surgery 49
  • Epidemiology 38
  • Pulmonary and Respiratory Medicine 37
Replace Xuewei Huang with:
Xuewei Huang China
Nagisa Morikawa Japan
Congcong Ding China
Mohan T Shenoy India
Chiara Veronesi Italy
Lijin Lin China
Blerim Mujaj Netherlands
Hidemi Takeuchi Japan
Ilias Kanellos Greece
Shin Kawasoe Japan
Xuewei Huang China View profile →
Citations per field, relative to Tae‐Hwa Go
Tae‐Hwa Go · 1×
Citations per year, relative to Tae‐Hwa Go
Tae‐Hwa Go · 1×

Countries citing papers authored by Tae‐Hwa Go

Since Specialization
Citations

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

Fields of papers citing papers by Tae‐Hwa Go

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae‐Hwa Go. 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 Tae‐Hwa Go. The network helps show where Tae‐Hwa Go may publish in the future.

Co-authorship network of co-authors of Tae‐Hwa Go

This figure shows the co-authorship network connecting the top 25 collaborators of Tae‐Hwa Go. A scholar is included among the top collaborators of Tae‐Hwa Go 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 Tae‐Hwa Go. Tae‐Hwa Go 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
# Work Indexed citations
1 0
2 3
3 4
4 0
5 0
6 0
7 0
8 3
9 5
10 3
11 10
12 25
13 16
14 6
15 16
16 20
17 5
18
Abstract 14540: Gender Differences in the Association of Metabolic Syndrome and LDL Cholesterol With Incident Cerebro-Cardiovascular Disease Among Koreans Without Diabetes Mellitus: A National Population-Based Study
1
19 2
20 1

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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