Sooyeun Lee

2.6k citations
112 papers · 2.0k indexed · h-index 25
Topics
Forensic Toxicology and Drug Analysis (54 papers)Neurotransmitter Receptor Influence on Behavior (34 papers)Hormonal and reproductive studies (22 papers)

In The Last Decade

Sooyeun Lee

109 papers receiving 1.9k citations

Peers

Sooyeun Lee
Comparison fields: 5 of 121
  • Toxicology 758
  • Molecular Biology 684
  • Cellular and Molecular Neuroscience 349
  • Pathology and Forensic Medicine 270
  • Pharmacology 236
Replace Vera Marisa Costa with:
Vera Marisa Costa Portugal
Sachiko Kondo Japan
Flávia Carla Meotti Brazil
Georgina Correia‐da‐Silva Portugal
Yoshitomo Suhara Japan
Hiu Yee Kwan Hong Kong
Toshiyuki Kimura Japan
Luana Heimfarth Brazil
Marica Orioli Italy
Yingliang Wu China
Sooyeun Lee relative to Vera Marisa Costa Portugal Vera Marisa Costa's profile →
Citations per field
00.5×1.5×1.8×
Vera Marisa Costa · 1×
Citations per year

Countries citing papers authored by Sooyeun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sooyeun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sooyeun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sooyeun Lee. A scholar is included among the top collaborators of Sooyeun 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 Sooyeun Lee. Sooyeun 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
1 0
2 8
3 2
4 71
5 11
6 38
7 32
8 14
9 3
10 5
11 23
12 6
13
A sensitive LC-MS/MS method for the simultaneous determination of 18 opioids and metabolites in human hair
1
14 16
15 34
16 10
17 27
18 20
19 14
20 23

About Sooyeun Lee

Sooyeun Lee is a scholar working on Toxicology, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 112 papers that have together received 2.0k indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (54 papers), Neurotransmitter Receptor Influence on Behavior (34 papers) and Hormonal and reproductive studies (22 papers). The work is most often cited by research in Toxicology (758 citations), Biological Psychiatry (73 citations) and Cellular and Molecular Neuroscience (349 citations). Sooyeun Lee has collaborated with scholars based in South Korea, Japan and United Kingdom. Frequent co-authors include Chul‐Ho Jeong, Heesun Chung, Hwakyung Choi, Jihyun Kim, Byoungduck Park, Young Ho Seo, Eunmi Kim, Jee‐Heon Jeong, Simmyung Yook and Sanghwan In. Their work appears in journals such as Molecular and Cellular Biology, Scientific Reports and International Journal of Molecular Sciences.

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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