Hee‐Jun Wee

1.9k citations
33 papers · 1.6k · h-index 23

Impact in

Papers in

    • Ubiquitin and proteasome pathways 4
    • Histone Deacetylase Inhibitors Research 4
    • Retinoids in leukemia and cellular processes 3
    • Bone Metabolism and Diseases 3
    • Cancer-related Molecular Pathways 4

Hee‐Jun Wee

33 papers receiving 1.5k citations

Peers

Hee‐Jun Wee
Comparison fields: 5 of 95
  • Hematology 354
  • Geriatrics and Gerontology 54
  • Oncology 378
  • Cancer Research 209
  • Molecular Biology 1.0k
Replace Paul J. Coffer with:
Paul J. Coffer Netherlands
Melissa J. Peart United States
Daniela S. Daniela Sanchez Bassères Brazil
Raphael B. Parmigiani Brazil
Louise Bergeron United States
Matthieu Lacroix France
Ralph K. Lindemann Germany
Constanze Wiek Germany
Sathish Kumar Mungamuri India
Karen McColl United States
Hee‐Jun Wee relative to Paul J. Coffer Netherlands Paul J. Coffer's profile →
Citations per field
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Paul J. Coffer · 1×
Citations per year

Countries citing papers authored by Hee‐Jun Wee

Since Specialization
Citations

This map shows the geographic impact of Hee‐Jun Wee'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 Wee 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 Wee more than expected).

Fields of papers citing papers by Hee‐Jun Wee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001247
2 2006137
3 2016100
4 200288
5 199876
6 200766
7 200858
8 200853
9 200952
10 201452
11 201749
12 200948
13 201347
14 201045
15 201143
16 200942
17 200940
18 200736
19 200635
20 199932

About Hee‐Jun Wee

Hee‐Jun Wee is a scholar working on Molecular Biology, Oncology, Cancer Research, Epidemiology and Hematology, having authored 33 papers that have together received 1.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), NF-κB Signaling Pathways (5 papers), Ubiquitin and proteasome pathways (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Cancer-related Molecular Pathways (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Retinoids in leukemia and cellular processes (3 papers) and Bone Metabolism and Diseases (3 papers). The work is most often cited by research in Hematology (354 citations), Geriatrics and Gerontology (54 citations), Oncology (378 citations), Cancer Research (209 citations) and Molecular Biology (1.0k citations). Hee‐Jun Wee has collaborated with scholars based in South Korea, Singapore and Japan. Frequent co-authors include Yoshiaki Ito, Katsuya Shigesada, Kosei Ito, Gang Huang, Soo‐Kyung Bae, Moon‐Kyoung Bae, Suk‐Chul Bae, Su-Ryun Kim, Tomomasa Yokomizo and Gang Huang. Their work appears in journals such as Journal of Cellular Biochemistry, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Oncotarget, Biochemical and Biophysical Research Communications and Blood.

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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