John Madrigal

787 citations
6 papers · 68 · h-index 3

Impact in

    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies
    • CAR-T cell therapy research
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune cells in cancer

Papers in

John Madrigal

5 papers receiving 68 citations

Peers

John Madrigal
Comparison fields: 5 of 12
  • Oncology 54
  • Immunology 20
  • Pulmonary and Respiratory Medicine 16
  • Cancer Research 6
  • Psychiatry and Mental health 2
Replace Jaklin Gukasyan with:
Jaklin Gukasyan United States
Carter DuFrane United States
Sarah Warren United States
A.A. Luczak Denmark
Y. Runglodvatana Thailand
Yuko Tanabe Japan
Hongbo Zheng China
Patricio Serra-Bellver United Kingdom
Claire Davoine France
Mitchell Denker United States
John Madrigal relative to Jaklin Gukasyan United States Jaklin Gukasyan's profile →
Citations per field
00.5×1.5×
Jaklin Gukasyan · 1×
Citations per year

Countries citing papers authored by John Madrigal

Since Specialization
Citations

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

Fields of papers citing papers by John Madrigal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 201956
2 20185
3 20174
4 20192
5 20171
6
Inmunoterapia celular contra el cáncer
20060

About John Madrigal

John Madrigal is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Epidemiology, Radiology, Nuclear Medicine and Imaging and Biotechnology, having authored 6 papers that have together received 68 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), Lung Cancer Treatments and Mutations (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Cancer Research and Treatments (1 paper), Cancer Genomics and Diagnostics (1 paper), Immunotherapy and Immune Responses (1 paper) and Neuroendocrine Tumor Research Advances (1 paper). The work is most often cited by research in Oncology (54 citations), Immunology (20 citations), Pulmonary and Respiratory Medicine (16 citations), Cancer Research (6 citations) and Psychiatry and Mental health (2 citations). John Madrigal has collaborated with scholars based in United States, Austria and France. Frequent co-authors include Edward B. Garon, Aaron Lisberg, James Carroll, Amy L. Cummings, Jaklin Gukasyan, I. Peter Shintaku, Dennis J. Slamon, Daniel K. Wells, Tristan Grogan and Matthew D. Hellmann. Their work appears in journals such as Journal of Thoracic Oncology, Journal of Clinical Oncology 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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