E.D. Kwon

827 citations
23 papers · 688 · h-index 7

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

E.D. Kwon

21 papers receiving 667 citations

Peers

E.D. Kwon
Comparison fields: 5 of 83
  • Oncology 281
  • Immunology 205
  • Cancer Research 84
  • Pulmonary and Respiratory Medicine 161
  • Cell Biology 73
Replace Tae Jung Jang with:
Tae Jung Jang South Korea
Jan Anderl Germany
Qianghua Hu United States
Joseph Andrews Canada
Kotohiko Kimura Japan
Norihisa Hanada Japan
Chun-Hau Chen United States
Andrew Trotta Australia
Jessica J. Gierut United States
Kelly Su Taiwan
E.D. Kwon relative to Tae Jung Jang South Korea Tae Jung Jang's profile →
Citations per field
00.5×3.0×
Tae Jung Jang · 1×
Citations per year

Countries citing papers authored by E.D. Kwon

Since Specialization
Citations

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

Fields of papers citing papers by E.D. Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E.D. Kwon. 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 E.D. Kwon. The network helps show where E.D. Kwon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Characterization of prostatic epithelial cell lines derived from transgenic adenocarcinoma of the mouse prostate (TRAMP) model.
1997401
2 2013128
3 199634
4 199533
5 199532
6 199616
7 20149
8 20166
9 19894
10 20094
11 19963
12 20083
13 20133
14 20143
15 20162
16 20162
17 19921
18 20191
19 20071
20 20161

About E.D. Kwon

E.D. Kwon is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Pathology and Forensic Medicine and Radiation, having authored 23 papers that have together received 688 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Prostate Cancer Treatment and Research (7 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Advanced Radiotherapy Techniques (4 papers), Bladder and Urothelial Cancer Treatments (2 papers), Biomedical Research and Pathophysiology (2 papers), Renal function and acid-base balance (2 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Oncology (281 citations), Immunology (205 citations), Cancer Research (84 citations), Pulmonary and Respiratory Medicine (161 citations) and Cell Biology (73 citations). E.D. Kwon has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Jeffrey R. Gingrich, Christopher Madias, Norman M. Greenberg, Barbara A. Foster, Klaus Jung, Maurice B. Burg, A. García-Pérez, R. Houston Thompson, Stephen A. Boorjian and Évanguelos Xylinas. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of Clinical Oncology, American Journal of Physiology-Cell Physiology, American Journal of Physiology-Renal Physiology and World Journal of Urology.

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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