Eunsung Jun

1.8k citations
72 papers · 1.2k · h-index 21

Impact in

  • Oncology top 5%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis
    • CAR-T cell therapy research
    • Cancer Genomics and Diagnostics

Papers in

    • Pancreatic and Hepatic Oncology Research 33
    • Cancer Cells and Metastasis 8
    • Advanced biosensing and bioanalysis techniques 4
    • Molecular Biology Techniques and Applications 4

Eunsung Jun

67 papers receiving 1.2k citations

Peers

Eunsung Jun
Comparison fields: 5 of 100
  • Oncology 545
  • Cancer Research 149
  • Biomaterials 99
  • Immunology 146
  • Molecular Biology 309
Replace Kenneth C. Valkenburg with:
Kenneth C. Valkenburg United States
Michael Timaner Israel
Lanlan Hui China
Jennifer H.E. Baker Canada
Wuhu Zhang China
Chisato M. Yamazaki Japan
Roya Ghods Iran
Edwardine Labay United States
Camilla L. Christensen Denmark
Tatsuya Manabe Japan
Eunsung Jun relative to Kenneth C. Valkenburg United States Kenneth C. Valkenburg's profile →
Citations per field
00.5×10×20×29×
Kenneth C. Valkenburg · 1×
Citations per year

Countries citing papers authored by Eunsung Jun

Since Specialization
Citations

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

Fields of papers citing papers by Eunsung Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201496
2 201371
3 202352
4 202349
5 202147
6 201347
7 201745
8 202044
9 201944
10 201638
11 202235
12 202029
13 202127
14 201527
15 202126
16 201625
17 202124
18 201924
19 201822
20 202120

About Eunsung Jun

Eunsung Jun is a scholar working on Oncology, Molecular Biology, Cancer Research, Surgery and Biomedical Engineering, having authored 72 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (33 papers), Cancer Genomics and Diagnostics (10 papers), Cancer Cells and Metastasis (8 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers), Nanoplatforms for cancer theranostics (6 papers), Advanced biosensing and bioanalysis techniques (4 papers), Immune Cell Function and Interaction (4 papers) and Molecular Biology Techniques and Applications (4 papers). The work is most often cited by research in Oncology (545 citations), Cancer Research (149 citations), Biomaterials (99 citations), Immunology (146 citations) and Molecular Biology (309 citations). Eunsung Jun has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Song Cheol Kim, Dae Wook Hwang, Jae Hoon Lee, Ki Byung Song, Woohyung Lee, Sang Hyun Shin, Young Joo Lee, Yejong Park, Kwang‐Min Park and In Kyong Shim. Their work appears in journals such as Scientific Reports, International Journal of Surgery, Oncotarget, Journal of Hepato-Biliary-Pancreatic Sciences and Journal of Clinical Medicine.

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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