Chul Lee

347 papers receiving 6.5k citations

Peers

Chul Lee
Comparison fields: 5 of 201
  • Biological Psychiatry 329
  • Behavioral Neuroscience 206
  • Psychiatry and Mental health 771
  • Developmental Neuroscience 184
  • Pharmacology 594
Replace Alejandro Lucía with:
Alejandro Lucía Spain
Martin A. Kennedy New Zealand
David M. Kaye Australia
Sergio Bernardini Italy
Rong Zhang China
P. Eline Slagboom Netherlands
Jun Liu China
Qi Li China
Masatoshi Takeda Japan
Xiaoying Sun United States
Chul Lee relative to Alejandro Lucía Spain Alejandro Lucía's profile →
Citations per field
00.5×1.5×
Alejandro Lucía · 1×
Citations per year

Countries citing papers authored by Chul Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chul Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chul 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 Chul Lee Line = papers co-authored together Chul Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 357 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006235
2 2005170
3 2013165
4 2005163
5 2000162
6 2006115
7 201294
8 199193
9 201290
10 200886
11 201274
12 199871
13 199669
14 200967
15 200864
16 200163
17 201262
18 202262
19 200861
20 200457

About Chul Lee

Chul Lee is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Oncology and Psychiatry and Mental health, having authored 357 papers that have together received 6.7k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (21 papers), Neonatal Respiratory Health Research (20 papers), Phytochemistry and Biological Activities (20 papers), Natural product bioactivities and synthesis (15 papers), Bipolar Disorder and Treatment (15 papers), Treatment of Major Depression (12 papers), Renal cell carcinoma treatment (12 papers) and Ovarian cancer diagnosis and treatment (11 papers). The work is most often cited by research in Biological Psychiatry (329 citations), Behavioral Neuroscience (206 citations), Psychiatry and Mental health (771 citations), Developmental Neuroscience (184 citations) and Pharmacology (594 citations). Chul Lee has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Chi‐Un Pae, In‐Ho Paik, Chang‐Uk Lee, Jung‐Jin Kim, Bang Yeon Hwang, Kyung Chul Moon, Jeong Hwan Park, Mi Kyeong Lee, Chang Uk Lee and Tae‐Suk Kim. Their work appears in journals such as Korean Journal of Pediatrics, Bioorganic & Medicinal Chemistry Letters, Archives of Pharmacal Research, Neuropsychobiology and Progress in Neuro-Psychopharmacology and Biological Psychiatry.

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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