Ji-Hyun Lee

2.6k citations
62 papers · 2.0k indexed · 1 hit paper · h-index 25
Topics
Glioma Diagnosis and Treatment (17 papers)Cancer Cells and Metastasis (16 papers)Mesenchymal stem cell research (9 papers)

In The Last Decade

Ji-Hyun Lee

61 papers receiving 2.0k citations

Hit Papers

Human glioblastoma arises from subventricular zone cells ...20182026202020232018100200300400

Peers

Ji-Hyun Lee
Comparison fields: 5 of 138
  • Molecular Biology 686
  • Genetics 645
  • Cancer Research 370
  • Oncology 308
  • Spectroscopy 256
Replace Huagang Hou with:
Huagang Hou United States
Thomas N. Tulenko United States
Nikolay Nikolsky Russia
Giordano Pula United Kingdom
Juergen Hescheler Germany
Ken’ichiro Hayashi Japan
Edoardo Gaude United Kingdom
Zhongyan Zhang China
Carolyn A. Carr United Kingdom
Mitsuru Takahashi Japan
Ji-Hyun Lee relative to Huagang Hou United States Huagang Hou's profile →
Citations per field
00.5×5.7×
Huagang Hou · 1×
Citations per year

Countries citing papers authored by Ji-Hyun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ji-Hyun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji-Hyun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ji-Hyun Lee. A scholar is included among the top collaborators of Ji-Hyun 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 Ji-Hyun Lee. Ji-Hyun 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 2
2 7
3 71
4 25
5
Human glioblastoma arises from subventricular zone cells with low-level driver mutationsbreakdown →
436
6 18
7 4
8 91
9 34
10 35
11 24
12 27
13
Isolation of Mesenchymal Stem-like Cells from a Pituitary Adenoma Specimen
1
14 20
15 34
16 36
17 14
18 23
19 17
20 42

About Ji-Hyun Lee

Ji-Hyun Lee is a scholar working on Genetics, Cancer Research and Oncology, having authored 62 papers that have together received 2.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (17 papers), Cancer Cells and Metastasis (16 papers) and Mesenchymal stem cell research (9 papers). The work is most often cited by research in Genetics (645 citations), Cancer Research (370 citations) and Developmental Neuroscience (87 citations). Ji-Hyun Lee has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Seok‐Gu Kang, Jong Hee Chang, Jinsung Tae, Young-Keun Yang, Injae Shin, Se Hoon Kim, Eui Hyun Kim, Junseong Park, Jin‐Kyoung Shim and Yong‐Min Huh. Their work appears in journals such as Nature, Journal of the American College of Cardiology and PLoS ONE.

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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