Shon Green

481 citations
7 papers · 184 · h-index 5

Impact in

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

Papers in

    • CAR-T cell therapy research 3
    • Cancer-related Molecular Pathways 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • Cancer therapeutics and mechanisms 1

Shon Green

7 papers receiving 181 citations

Peers

Shon Green
Comparison fields: 5 of 27
  • Oncology 136
  • Immunology 60
  • Cancer Research 25
  • Molecular Biology 76
  • Pulmonary and Respiratory Medicine 33
Replace J.T. Greene with:
J.T. Greene United States
Gaurav Sharma United States
Sara Waise United Kingdom
Manisha Rao United States
Gustav Jonsson Austria
María José Paúles Spain
Andrew Baessler United States
Yueyao Yang China
Tyler G. Searles United States
Andrea Favero Italy
Shon Green relative to J.T. Greene United States J.T. Greene's profile →
Citations per field
00.5×2.6×
J.T. Greene · 1×
Citations per year

Countries citing papers authored by Shon Green

Since Specialization
Citations

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

Fields of papers citing papers by Shon Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 201895
2 201333
3 201527
4 201514
5 201913
6 20241
7 20161

About Shon Green

Shon Green is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 184 indexed citations. Recurring topics across this work include CAR-T cell therapy research (3 papers), Cancer-related Molecular Pathways (2 papers), Lung Cancer Treatments and Mutations (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Cancer Genomics and Diagnostics (1 paper), Cancer therapeutics and mechanisms (1 paper), Cancer Research and Treatments (1 paper) and Nanowire Synthesis and Applications (1 paper). The work is most often cited by research in Oncology (136 citations), Immunology (60 citations), Cancer Research (25 citations), Molecular Biology (76 citations) and Pulmonary and Respiratory Medicine (33 citations). Shon Green has collaborated with scholars based in United States and Australia. Frequent co-authors include Martin McMahon, Christy L. Trejo, Stephan A. Grupp, Javier F. Morales, Vivien W. Chan, Bryan Zimdahl, Lianxing Liu, Pengbo Zhang, Yiyang Xu and Jingwei Lu. Their work appears in journals such as Cancer Research, Molecular Therapy, eLife and Cell Discovery.

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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