Aaron Chapman

646 citations
9 papers · 465 · h-index 7

Impact in

    • Cancer Cells and Metastasis
    • Lung Cancer Research Studies
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Treatments and Mutations
    • Lung Cancer Diagnosis and Treatment

Papers in

Aaron Chapman

9 papers receiving 462 citations

Peers

Aaron Chapman
Comparison fields: 5 of 71
  • Oncology 143
  • Pulmonary and Respiratory Medicine 145
  • Cancer Research 61
  • Experimental and Cognitive Psychology 44
  • Pathology and Forensic Medicine 40
Replace Alexander T. El Gammal with:
Alexander T. El Gammal Germany
Xiaoxiao Li China
Furkan Sarici Türkiye
Rima Couzi United States
Bridget Hathaway United States
Christian Focan Belgium
Pete Nelson United States
Emmanuele De Luca Italy
Hye-Yoon Lee South Korea
Qing Luo China
Aaron Chapman relative to Alexander T. El Gammal Germany Alexander T. El Gammal's profile →
Citations per field
00.5×4.4×
Alexander T. El Gammal · 1×
Citations per year

Countries citing papers authored by Aaron Chapman

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Chapman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2016186
2 2009140
3 202160
4 201742
5 201415
6 20139
7 20047
8 20184
9 20082

About Aaron Chapman

Aaron Chapman is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 9 papers that have together received 465 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Cancer Mechanisms and Therapy (1 paper), Lung Cancer Research Studies (1 paper), Cancer Genomics and Diagnostics (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Telomeres, Telomerase, and Senescence (1 paper) and FOXO transcription factor regulation (1 paper). The work is most often cited by research in Oncology (143 citations), Pulmonary and Respiratory Medicine (145 citations), Cancer Research (61 citations), Experimental and Cognitive Psychology (44 citations) and Pathology and Forensic Medicine (40 citations). Aaron Chapman has collaborated with scholars based in United States and Greece. Frequent co-authors include Amy K. Madl, Kathie Sun, Dallas M. Cowan, Peter Ruestow, Demetrios�� Spandidos, Benjamin Bonavida, Kam C. Yeung, Stavroula Baritaki, Michael A. Palladino and Robert H. Schiestl. Their work appears in journals such as Mutation research. Fundamental and molecular mechanisms of mutagenesis, Blood, Journal of Consulting and Clinical Psychology, Oncogene and Journal of Clinical Oncology.

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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