Stephen Eck

548 citations
7 papers · 463 · h-index 5

Impact in

    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Cancer-related Molecular Pathways
    • Occupational and environmental lung diseases
    • Advanced Breast Cancer Therapies

Papers in

Stephen Eck

7 papers receiving 446 citations

Peers

Stephen Eck
Comparison fields: 5 of 41
  • Oncology 153
  • Pulmonary and Respiratory Medicine 101
  • Immunology 62
  • Pathology and Forensic Medicine 41
  • Genetics 70
Replace Kenya Toney‐Earley with:
Kenya Toney‐Earley United States
Hideaki Tsutsumida Japan
Mandy Boer Netherlands
T Osaki Japan
Mari Bunkholt Elstrand Norway
J Taylor-Papadimitriou United Kingdom
Ashleen Shadeo Canada
C. Weber United States
K. Hillan United Kingdom
John D. Miedler United States
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Citations per field
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Kenya Toney‐Earley · 1×
Citations per year

Countries citing papers authored by Stephen Eck

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Eck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2006126
2 2021121
3 1994119
4 199868
5 200024
6 20104
7
Evaluation of response to gene therapy for malignant gliomas with FDG PET imaging and MRI
19981

About Stephen Eck

Stephen Eck is a scholar working on Immunology, Immunology and Allergy, Genetics, Pathology and Forensic Medicine and Oncology, having authored 7 papers that have together received 463 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (2 papers), Lymphoma Diagnosis and Treatment (1 paper), CAR-T cell therapy research (1 paper), Virus-based gene therapy research (1 paper), Pharmaceutical Economics and Policy (1 paper), Glioma Diagnosis and Treatment (1 paper), Cell Adhesion Molecules Research (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Oncology (153 citations), Pulmonary and Respiratory Medicine (101 citations), Immunology (62 citations), Pathology and Forensic Medicine (41 citations) and Genetics (70 citations). Stephen Eck has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Jorge Mauricio Rivas, Börje S. Andersson, Yu‐Feng Lin, Apostolia Maria Tsimberidou, Henry Hiep Vo, Harry C. Hwang, James M. Wilson, Steven Μ. Albelda, Larry R. Kaiser and W. Roy Smythe. Their work appears in journals such as Journal of Nuclear Medicine, JNCI Journal of the National Cancer Institute, Annals of the New York Academy of Sciences, Blood and The Annals of Thoracic Surgery.

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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