J.C. Hassel

407 citations
16 papers · 278 · h-index 8

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Cutaneous Melanoma Detection and Management
    • Colorectal Cancer Treatments and Studies
    • Immunotherapy and Immune Responses

Papers in

    • Cancer Immunotherapy and Biomarkers 8
    • CAR-T cell therapy research 7
    • Cutaneous Melanoma Detection and Management 3
    • Melanoma and MAPK Pathways 7
    • Protein Degradation and Inhibitors 1

J.C. Hassel

13 papers receiving 272 citations

Peers

J.C. Hassel
Comparison fields: 5 of 40
  • Oncology 243
  • Immunology 86
  • Genetics 25
  • Cancer Research 23
  • Molecular Biology 104
Replace Tanja Badovinac Črnjević with:
Tanja Badovinac Črnjević Switzerland
Nikolaus B. Wagner Germany
Habte Yimer United States
J A P Spijkers-Hagelstein Netherlands
Luca Paruzzo Italy
Clara Allayous France
J. Casal Spain
Roha Afzal United States
Amanda Ralabate United States
A. Rosenwald Germany
J.C. Hassel relative to Tanja Badovinac Črnjević Switzerland Tanja Badovinac Črnjević's profile →
Citations per field
00.5×10.5×
Tanja Badovinac Črnjević · 1×
Citations per year

Countries citing papers authored by J.C. Hassel

Since Specialization
Citations

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

Fields of papers citing papers by J.C. Hassel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.C. Hassel. 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 J.C. Hassel. The network helps show where J.C. Hassel may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201689
2 201459
3 201038
4 201527
5 202121
6 201618
7 20159
8 20227
9 20223
10 20172
11 20102
12 20221
13 20241
14 20101
15 20200
16 20250

About J.C. Hassel

J.C. Hassel is a scholar working on Oncology, Molecular Biology, Immunology, Organic Chemistry and Genetics, having authored 16 papers that have together received 278 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (8 papers), Melanoma and MAPK Pathways (7 papers), CAR-T cell therapy research (7 papers), Cutaneous Melanoma Detection and Management (3 papers), Immunotherapy and Immune Responses (2 papers), Brain Metastases and Treatment (1 paper), Protein Degradation and Inhibitors (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Oncology (243 citations), Immunology (86 citations), Genetics (25 citations), Cancer Research (23 citations) and Molecular Biology (104 citations). J.C. Hassel has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Paolo A. Ascierto, Piotr Rutkowski, Caroline Robert, Georgina V. Long, Ian M. Waxman, Homa Dastani, Victoria Atkinson, Amy P. Abernethy, Cheryl D. Coon and Fiona Taylor. Their work appears in journals such as Annals of Oncology, European Journal of Cancer, British Journal of Cancer, Journal of Clinical Oncology and Melanoma 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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