Sekwon Jang

1.6k citations
42 papers · 724 · 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%
    • Acute Myeloid Leukemia Research
    • Autoimmune and Inflammatory Disorders Research

Papers in

    • Cancer Immunotherapy and Biomarkers 15
    • CAR-T cell therapy research 9
    • Cutaneous Melanoma Detection and Management 7
    • Immunotherapy and Immune Responses 7

Sekwon Jang

37 papers receiving 715 citations

Peers

Sekwon Jang
Comparison fields: 5 of 85
  • Oncology 402
  • Hematology 132
  • Immunology 161
  • Genetics 42
  • Molecular Biology 269
Replace Donald C. Moore with:
Donald C. Moore United States
Benjamin A. Derman United States
Florence Broussais France
Pooja Advani United States
Alexandra M. Harrington United States
Jill Kolesar United States
Mustaqeem Siddiqui United States
Divya Samineni United States
Sachin Shah United States
Xin Cai China
Sekwon Jang relative to Donald C. Moore United States Donald C. Moore's profile →
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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013133
2 201895
3 201065
4 201956
5 201043
6 202135
7 201535
8 202132
9 202030
10 201327
11 201026
12 201721
13 202014
14 201013
15 202012
16 201511
17 201810
18 201710
19 202110
20 20186

About Sekwon Jang

Sekwon Jang is a scholar working on Oncology, Immunology, Molecular Biology, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 42 papers that have together received 724 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (15 papers), CAR-T cell therapy research (9 papers), Cutaneous Melanoma Detection and Management (7 papers), Immunotherapy and Immune Responses (7 papers), Melanoma and MAPK Pathways (4 papers), Pharmaceutical industry and healthcare (3 papers), Brain Metastases and Treatment (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Oncology (402 citations), Hematology (132 citations), Immunology (161 citations), Genetics (42 citations) and Molecular Biology (269 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, Henri Roukoz, Amer Beitinjaneh, Suraj Venna, Tufia C. Haddad, Young Kwang Chae, DeAnn Lazovich, Michael B. Atkins and Anna E. Prizment. 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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