Sung‐Jin Lee

9.3k citations
367 papers · 6.4k indexed · h-index 40

Impact in

Papers in

Sung‐Jin Lee

327 papers receiving 6.1k citations

Peers

Sung‐Jin Lee
Comparison fields: 5 of 201
  • Cellular and Molecular Neuroscience 933
  • Developmental Neuroscience 205
  • Molecular Medicine 197
  • Neurology 291
  • Molecular Biology 2.3k
Replace David A. Barrett with:
David A. Barrett United Kingdom
Xiaolei Zhang China
Yue Li China
Chun‐Jung Chen Taiwan
Wei Zheng United States
Dan Wang China
Lili Wang China
Matt Golding New Zealand
Jing Wang China
Gang Lü China
Sung‐Jin Lee relative to David A. Barrett United Kingdom David A. Barrett's profile →
Citations per field
00.5×1.5×2.2×
David A. Barrett · 1×
Citations per year

Countries citing papers authored by Sung‐Jin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sung‐Jin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Sung‐Jin Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sung‐Jin Lee Line = papers co-authored together Sung‐Jin Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20254
3 20250
4 20242
5 20246
6 20222
7 20224
8 20215
9 202113
10 202011
11 202023
12 20202
13
Associations of genetic variations in the OCX-32 gene with egg production traits in Korean native chickens.
20171
14 2016104
15 201615
16
Fracture Resistance of Warm-Mix Asphalt Concretes at Low Temperatures
20137
17 2012111
18
Wetting-Induced Collapse in Fill Materials for Concrete Slab Track of High Speed Railway
20080
19 200617
20
Effects of Natural Products on the Inhibition of 5α-Reductase Type 2 for the Development of Chemopreventive Agents in LNCaP Cells
19991

About Sung‐Jin Lee

Sung‐Jin Lee is a scholar working on Animal Science and Zoology, Artificial Intelligence, Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality and Immunology and Allergy, having authored 367 papers that have together received 6.4k indexed citations. Recurring topics across this work include Topic Modeling (37 papers), Speech and dialogue systems (35 papers), Natural Language Processing Techniques (20 papers), Neuroscience and Neuropharmacology Research (14 papers), Combustion and Detonation Processes (13 papers), Fire dynamics and safety research (13 papers), Animal Nutrition and Physiology (12 papers) and Risk and Safety Analysis (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (933 citations), Developmental Neuroscience (205 citations), Molecular Medicine (197 citations), Neurology (291 citations) and Molecular Biology (2.3k citations). Sung‐Jin Lee has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Takeshi Uemura, Masayoshi Mishina, Tomoyuki Yoshida, Woongchon Mar, Misato Yasumura, Neelesh Sharma, Jong-Ho Yoon, Thomas C. Südhof, Ryo Taguchi and Moonjin Ra. Their work appears in journals such as Asian-Australasian Journal of Animal Sciences, Archives of Pharmacal Research, Journal of Chemical & Engineering Data, Journal of Biological Chemistry and Korean Journal of Chemical Engineering.

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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