Hong‐Hee Won

23.2k total citations · 2 hit papers
135 papers, 2.5k citations indexed

About

Hong‐Hee Won is a scholar working on Genetics, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Hong‐Hee Won has authored 135 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Genetics, 49 papers in Molecular Biology and 14 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Hong‐Hee Won's work include Genetic Associations and Epidemiology (43 papers), Bioinformatics and Genomic Networks (18 papers) and Genomic variations and chromosomal abnormalities (8 papers). Hong‐Hee Won is often cited by papers focused on Genetic Associations and Epidemiology (43 papers), Bioinformatics and Genomic Networks (18 papers) and Genomic variations and chromosomal abnormalities (8 papers). Hong‐Hee Won collaborates with scholars based in South Korea, United States and Canada. Hong‐Hee Won's co-authors include Sung‐Bae Cho, Jong‐Won Kim, Woojae Myung, Doh Kwan Kim, Min Seo Kim, Ron Do, Amit V. Khera, Bernard J. Carroll, Jong Yeob Kim and Jae Il Shin and has published in prestigious journals such as Nucleic Acids Research, Circulation and Nature Communications.

In The Last Decade

Hong‐Hee Won

124 papers receiving 2.4k citations

Hit Papers

Association between adiposity and cardiovascular outcomes... 2021 2026 2022 2024 2021 2024 50 100 150 200

Peers

Hong‐Hee Won
Comparison fields: 5 of 152
  • Molecular Biology 786
  • Genetics 362
  • Cardiology and Cardiovascular Medicine 238
  • Surgery 234
  • Epidemiology 225
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Citations per field, relative to Hong‐Hee Won
Hong‐Hee Won · 1×
Citations per year, relative to Hong‐Hee Won
Hong‐Hee Won · 1×

Countries citing papers authored by Hong‐Hee Won

Since Specialization
Citations

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

Fields of papers citing papers by Hong‐Hee Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong‐Hee Won. 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 Hong‐Hee Won. The network helps show where Hong‐Hee Won may publish in the future.

Co-authorship network of co-authors of Hong‐Hee Won

This figure shows the co-authorship network connecting the top 25 collaborators of Hong‐Hee Won. A scholar is included among the top collaborators of Hong‐Hee Won 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 Hong‐Hee Won. Hong‐Hee Won 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 0
3 0
4 1
5 2
6 11
7 22
8 5
9 8
10 9
11 1
12 12
13
Association between adiposity and cardiovascular outcomes: an umbrella review and meta-analysis of observational and Mendelian randomization studies breakdown →
210
14 10
15 9
16 2
17 35
18 93
19 73
20
Machine learning in DNA microarray analysis for cancer classification
169

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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