Hee Jun Lee

1.1k citations
37 papers · 806 · h-index 17

Impact in

Papers in

    • Reconstructive Facial Surgery Techniques 3
    • CAR-T cell therapy research 3
    • Cancer Treatment and Pharmacology 2

Hee Jun Lee

33 papers receiving 792 citations

Peers

Hee Jun Lee
Comparison fields: 5 of 101
  • Reproductive Medicine 147
  • Anesthesiology and Pain Medicine 85
  • Oncology 237
  • Rehabilitation 50
  • Developmental Neuroscience 29
Replace Fahri Yılmaz with:
Fahri Yılmaz Türkiye
Hua Yang China
Matthew J. Robertson United States
J. M. C. Bull United States
D. Brooke Johnson United States
Christine Hill United States
George S. Richardson United States
Kei Miyakoshi Japan
Katarina Vilović Croatia
J. Reinsberg Germany
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Citations per year

Countries citing papers authored by Hee Jun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hee Jun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018100
2 202172
3 200559
4 201557
5 200455
6 202250
7 201549
8 201640
9 201535
10 201134
11 200628
12 197723
13 201523
14 201620
15 201619
16 197818
17 201316
18 201314
19 201512
20 201712

About Hee Jun Lee

Hee Jun Lee is a scholar working on Surgery, Oncology, Reproductive Medicine, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 37 papers that have together received 806 indexed citations. Recurring topics across this work include Ovarian function and disorders (6 papers), Reproductive Biology and Fertility (6 papers), Reconstructive Facial Surgery Techniques (3 papers), CAR-T cell therapy research (3 papers), Cancer Treatment and Pharmacology (2 papers), Virus-based gene therapy research (2 papers), Cancer therapeutics and mechanisms (2 papers) and Birth, Development, and Health (2 papers). The work is most often cited by research in Reproductive Medicine (147 citations), Anesthesiology and Pain Medicine (85 citations), Oncology (237 citations), Rehabilitation (50 citations) and Developmental Neuroscience (29 citations). Hee Jun Lee has collaborated with scholars based in South Korea, United States and Poland. Frequent co-authors include Chang Suk Suh, Seok Hyun Kim, Jung Ryeol Lee, Kyo Sang Kim, Byung Chul Jee, Jae Moo Lee, Seul Ki Kim, Stephen J. Forman, John P. Murad and Saul J. Priceman. Their work appears in journals such as Cancer Research and Treatment, Journal of Medicinal Chemistry, Anesthesia & Analgesia, Human Reproduction and International Journal of Surgery.

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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