Sohee Jun

2.6k citations
30 papers · 2.2k · h-index 21

Impact in

  • Physiology top 5%
    • Telomeres, Telomerase, and Senescence
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cancer-related Molecular Pathways

Papers in

    • Cancer Cells and Metastasis 3
    • Pancreatic and Hepatic Oncology Research 2
    • Lung Cancer Research Studies 2
    • Wnt/β-catenin signaling in development and cancer 11

Sohee Jun

30 papers receiving 2.1k citations

Peers

Sohee Jun
Comparison fields: 5 of 83
  • Physiology 594
  • Oncology 316
  • Molecular Biology 846
  • Cancer Research 163
  • Aging 13
Replace Inês Amorim Monteiro Barbosa with:
Inês Amorim Monteiro Barbosa Austria
Akiko Furuya Japan
Susumu Goyama Japan
Stefan Klein‐Hessling Germany
Soo‐Cheon Chae South Korea
Guang‐Hui Xiao United States
Katerina Pardali Sweden
Virginie Garcia France
Ryo Nakaki Japan
Sohee Jun relative to Inês Amorim Monteiro Barbosa Austria Inês Amorim Monteiro Barbosa's profile →
Citations per field
00.5×1.6×
Inês Amorim Monteiro Barbosa · 1×
Citations per year

Countries citing papers authored by Sohee Jun

Since Specialization
Citations

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

Fields of papers citing papers by Sohee Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009586
2 2008282
3 2013166
4 2015116
5 2016102
6 200684
7 200679
8 201877
9 201575
10 201674
11 201363
12 202051
13 202249
14 201748
15 201345
16 201344
17 202143
18 201841
19 201625
20 202125

About Sohee Jun

Sohee Jun is a scholar working on Oncology, Molecular Biology, Physiology, Urology and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 2.2k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (11 papers), Cancer Cells and Metastasis (3 papers), Esophageal Cancer Research and Treatment (3 papers), Telomeres, Telomerase, and Senescence (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Hair Growth and Disorders (2 papers), Lung Cancer Research Studies (2 papers) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Physiology (594 citations), Oncology (316 citations), Molecular Biology (846 citations), Cancer Research (163 citations) and Aging (13 citations). Sohee Jun has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Jae‐Il Park, Pierre D. McCrea, Hong Long Ji, Steven E. Artandi, Andrew Sean Venteicher, Jinkuk Choi, Woody Chang, Peggie Cheung, Youn‐Sang Jung and Hae‐Yun Jung. Their work appears in journals such as Nature Communications, Developmental Cell, Cell Reports, Journal of Biological Chemistry and Nature Cell Biology.

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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