Suehyun Lee

994 citations
47 papers · 603 indexed · 1 hit paper · h-index 11
Topics
Pharmacovigilance and Adverse Drug Reactions (15 papers)Computational Drug Discovery Methods (10 papers)Pharmaceutical Practices and Patient Outcomes (6 papers)

In The Last Decade

Suehyun Lee

45 papers receiving 588 citations

Hit Papers

Real-world Evidence versus Randomized Controlled Trial: C...2018202620202023201850100150200250

Peers

Suehyun Lee
Comparison fields: 5 of 110
  • Surgery 86
  • Cardiology and Cardiovascular Medicine 73
  • Toxicology 63
  • Nephrology 61
  • Pulmonary and Respiratory Medicine 61
Replace Benjamin Skov Kaas‐Hansen with:
Benjamin Skov Kaas‐Hansen Denmark
Gerry Gray United States
Man Young Park South Korea
Jason H. Karnes United States
Frank DeFalco United States
Chih‐Wei Huang Taiwan
Daisuke Koide Japan
Alexander Michel Germany
Grégoire Ficheur France
Rupa Makadia United States
Suehyun Lee relative to Benjamin Skov Kaas‐Hansen Denmark Benjamin Skov Kaas‐Hansen's profile →
Citations per field
00.5×4.8×
Benjamin Skov Kaas‐Hansen · 1×
Citations per year

Countries citing papers authored by Suehyun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Suehyun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suehyun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Suehyun Lee. A scholar is included among the top collaborators of Suehyun Lee 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 Suehyun Lee. Suehyun Lee 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
#WorkIndexed citations
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2 1
3 1
4 7
5 6
6 1
7 1
8 3
9 1
10 1
11 11
12 1
13 8
14 7
15 5
16 4
17 10
18 4
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Real-world Evidence versus Randomized Controlled Trial: Clinical Research Based on Electronic Medical Recordsbreakdown →
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About Suehyun Lee

Suehyun Lee is a scholar working on Toxicology, Geriatrics and Gerontology and Medical Laboratory Technology, having authored 47 papers that have together received 603 indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (15 papers), Computational Drug Discovery Methods (10 papers) and Pharmaceutical Practices and Patient Outcomes (6 papers). The work is most often cited by research in Health Informatics (36 citations), Toxicology (63 citations) and Nephrology (61 citations). Suehyun Lee has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Hun‐Sung Kim, Ju Han Kim, Jong‐Yeup Kim, Kye Hwa Lee, Yu Rang Park, Kwangsoo Kim, Dong‐Kyu Kim, Sehoon Park, Hyunjeong Cho and Hyunah Kim. Their work appears in journals such as PLoS ONE, Scientific Reports and Journal of the American Society of Nephrology.

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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