Sekwon Jang

1.7k citations
44 papers · 755 · h-index 14

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Cutaneous Melanoma Detection and Management
  • Hematology top 10%
    • Autoimmune and Inflammatory Disorders Research

Papers in

    • Cancer Immunotherapy and Biomarkers 15
    • CAR-T cell therapy research 8
    • Cutaneous Melanoma Detection and Management 7
    • Polyomavirus and related diseases 3
    • Cancer survivorship and care 3
    • Melanoma and MAPK Pathways 4

Sekwon Jang

39 papers receiving 745 citations

Peers

Sekwon Jang
Comparison fields: 5 of 76
  • Oncology 337
  • Hematology 116
  • Immunology 135
  • Genetics 37
  • Molecular Biology 235
Replace Donald C. Moore with:
Donald C. Moore United States
Aya Nakaya Japan
Donald R. Fleming United States
Pooja Advani United States
Lisa A. Raedler
Divya Samineni United States
Roberta Fedele Italy
Steve Eppler United States
Miguel H. Bronchud Spain
Xin Cai China
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Citations per field
00.5×4.4×
Donald C. Moore · 1×
Citations per year

Countries citing papers authored by Sekwon Jang

Since Specialization
Citations

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

Fields of papers citing papers by Sekwon Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013133
2 2018100
3 201065
4 201956
5 201044
6 202137
7 201535
8 202133
9 202031
10 201327
11 201026
12 201721
13 202015
14 202213
15 201013
16 201512
17 202012
18 201812
19 202110
20 201710

About Sekwon Jang

Sekwon Jang is a scholar working on Oncology, Molecular Biology, Immunology, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 44 papers that have together received 755 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (15 papers), CAR-T cell therapy research (8 papers), Cutaneous Melanoma Detection and Management (7 papers), Immunotherapy and Immune Responses (6 papers), Melanoma and MAPK Pathways (4 papers), Pharmaceutical industry and healthcare (3 papers), Polyomavirus and related diseases (3 papers) and Cancer survivorship and care (3 papers). The work is most often cited by research in Oncology (337 citations), Hematology (116 citations), Immunology (135 citations), Genetics (37 citations) and Molecular Biology (235 citations). Sekwon Jang has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include Michael B. Atkins, Navneet S. Majhail, Amer Beitinjaneh, Henri Roukoz, Suraj Venna, Tufia C. Haddad, Young Kwang Chae, DeAnn Lazovich, Michael B. Atkins and Kim Robien. Their work appears in journals such as Journal of Clinical Oncology, Journal of Oncology Practice, Journal of the American Academy of Dermatology, Cancer Research and Clinical Cancer Research.

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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