John D. Minna

114.2k citations
801 papers · 73.5k · 21 hit papers · h-index 139

Impact in

  • Oncology top 0.01%
    • Lung Cancer Research Studies
    • Cancer-related Molecular Pathways
  • Cancer Research top 0.01%
    • Cancer Genomics and Diagnostics

Papers in

    • RNA modifications and cancer 119
    • Epigenetics and DNA Methylation 76
    • Lung Cancer Research Studies 135
    • Cancer-related Molecular Pathways 61
    • Peptidase Inhibition and Analysis 42

John D. Minna

786 papers receiving 71.1k citations

John D. Minna's Hit Papers

Mechanical regulation of glycolysis via cytoskeleton architecture 2020 · 412 citations
4120+13+27Years since publication10002.0k3.0k

Peers

John D. Minna
Comparison fields: 5 of 201
  • Oncology 23.3k
  • Cancer Research 11.3k
  • Molecular Biology 37.6k
  • Pulmonary and Respiratory Medicine 12.4k
  • Immunology 8.3k
Replace Adi F. Gazdar with:
Adi F. Gazdar United States
Napoleone Ferrara United States
Bert W. O’Malley United States
Zena Werb United States
Michael B. Sporn United States
Tak W. Mak Canada
Stuart A. Aaronson United States
David V. Goeddel United States
Joan Massagué United States
Lloyd J. Old United States
John D. Minna relative to Adi F. Gazdar United States Adi F. Gazdar's profile →
Citations per field
00.5×1.6×
Adi F. Gazdar · 1×
Citations per year

Countries citing papers authored by John D. Minna

Since Specialization
Citations

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

Fields of papers citing papers by John D. Minna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 801 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Detection and isolation of type C retrovirus particles from fresh and cultured lymphocytes of a patient with cutaneous T-cell lymphoma
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19804125
2
Evaluation of a tetrazolium-based semiautomated colorimetric assay: assessment of chemosensitivity testing.
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19873546
3
Bombesin-like peptides can function as autocrine growth factors in human small-cell lung cancer
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19851163
4
p53: A Frequent Target for Genetic Abnormalities in Lung Cancer
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19891054
5
BRAF and RAS mutations in human lung cancer and melanoma.
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2002843
6
Amplification and expression of the c-myc oncogene in human lung cancer cell lines
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1983778
7
Abnormalities in Structure and Expression of the Human Retinoblastoma Gene in SCLC
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1988754
8
Molecular subtypes of small cell lung cancer: a synthesis of human and mouse model data
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2019738
9
Evaluation of a tetrazolium-based semiautomated colorimetric assay: assessment of radiosensitivity.
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1987630
10
Molecular Profiling of Breast Cancer Cell Lines Defines Relevant Tumor Models and Provides a Resource for Cancer Gene Discovery
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2009615
11
Small-cell lung cancer: what we know, what we need to know and the path forward
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2017593
12
NRF2 regulates serine biosynthesis in non–small cell lung cancer
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2015575
13
L-myc, a new myc-related gene amplified and expressed in human small cell lung cancer
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1985546
14
Somatic Mutations of the HER2 Kinase Domain in Lung Adenocarcinomas
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2005518
15
Differential expression of myc family genes during murine development
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1986483
16 2007473
17
The 630-kb lung cancer homozygous deletion region on human chromosome 3p21.3: identification and evaluation of the resident candidate tumor suppressor genes. The International Lung Cancer Chromosome 3p21.3 Tumor Suppressor Gene Consortium.
2000464
18 1990441
19
EGFR-Mediated Beclin 1 Phosphorylation in Autophagy Suppression, Tumor Progression, and Tumor Chemoresistance
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2013429
20 2002428

About John D. Minna

John D. Minna is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Epidemiology, having authored 801 papers that have together received 73.5k indexed citations. Recurring topics across this work include Lung Cancer Research Studies (135 papers), Lung Cancer Treatments and Mutations (134 papers), RNA modifications and cancer (119 papers), Epigenetics and DNA Methylation (76 papers), Cancer-related Molecular Pathways (61 papers), Neuroendocrine Tumor Research Advances (61 papers), Cancer Genomics and Diagnostics (58 papers) and Peptidase Inhibition and Analysis (42 papers). The work is most often cited by research in Oncology (23.3k citations), Cancer Research (11.3k citations), Molecular Biology (37.6k citations), Pulmonary and Respiratory Medicine (12.4k citations) and Immunology (8.3k citations). John D. Minna has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Adi F. Gazdar, Paul A. Bunn, Luc Girard, William DeGraff, James Carmichael, Desmond N. Carney, Ignacio I. Wistuba, Robert C. Gallo, Bernard J. Poiesz and James B. Mitchell. Their work appears in journals such as Cancer Research, Oncogene, Proceedings of the National Academy of Sciences, Clinical Cancer Research and Journal of Thoracic 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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