John S. Coon

7.6k total citations · 1 hit paper
150 papers, 6.0k citations indexed

About

John S. Coon is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, John S. Coon has authored 150 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 52 papers in Oncology and 27 papers in Surgery. Recurrent topics in John S. Coon's work include Endometriosis Research and Treatment (22 papers), Uterine Myomas and Treatments (19 papers) and Lung Cancer Treatments and Mutations (17 papers). John S. Coon is often cited by papers focused on Endometriosis Research and Treatment (22 papers), Uterine Myomas and Treatments (19 papers) and Lung Cancer Treatments and Mutations (17 papers). John S. Coon collaborates with scholars based in United States, Japan and Philippines. John S. Coon's co-authors include Ronald S. Weinstein, Pavel G. Komarov, Elena A. Komarova, Mikhail V. Chernov, Andrei V. Gudkov, Roman V. Kondratov, Serdar E. Bulun, Ping Yin, Lela Buckingham and Jack L. Summers and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

John S. Coon

148 papers receiving 5.9k citations

Hit Papers

A Chemical Inhibitor of p... 1999 2026 2008 2017 1999 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
John S. Coon 2.7k 2.2k 987 754 739 150 6.0k
Alain G. Zeimet 2.2k 0.8× 2.1k 0.9× 991 1.0× 1.3k 1.7× 607 0.8× 173 5.1k
Anna Lokshin 2.3k 0.9× 2.4k 1.1× 1.1k 1.1× 1.1k 1.4× 618 0.8× 137 6.7k
Alfonso Dueñas‐González 3.0k 1.1× 1.1k 0.5× 827 0.8× 481 0.6× 822 1.1× 171 5.8k
Peter A. van Dam 2.8k 1.1× 3.6k 1.6× 2.5k 2.5× 574 0.8× 737 1.0× 186 7.2k
Robert Morris 2.2k 0.8× 1.2k 0.5× 719 0.7× 1.3k 1.8× 629 0.9× 195 6.0k
John J. Kavanagh 1.5k 0.6× 1.4k 0.6× 414 0.4× 1.3k 1.8× 728 1.0× 121 4.7k
John F. Smyth 3.7k 1.4× 2.9k 1.3× 921 0.9× 1.1k 1.5× 941 1.3× 202 8.2k
Stefania Staibano 2.8k 1.0× 2.4k 1.1× 689 0.7× 329 0.4× 915 1.2× 229 6.5k
Hani Gabra 3.2k 1.2× 2.4k 1.1× 1.4k 1.4× 2.2k 2.9× 915 1.2× 174 7.4k
Martin K. Oehler 2.2k 0.8× 1.0k 0.5× 737 0.7× 874 1.2× 323 0.4× 164 4.5k

Countries citing papers authored by John S. Coon

Since Specialization
Citations

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

Fields of papers citing papers by John S. Coon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John S. Coon

This figure shows the co-authorship network connecting the top 25 collaborators of John S. Coon. A scholar is included among the top collaborators of John S. Coon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John S. Coon. John S. Coon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Potluri, Tanvi, Ping Yin, John S. Coon, et al.. (2025). Estrogen receptor-α ablation reverses muscle fibrosis and inguinal hernias. Journal of Clinical Investigation. 135(6). 1 indexed citations
2.
Iizuka, Takashi, et al.. (2025). Therapeutic targeting of the tryptophan-kynurenine-aryl hydrocarbon receptor pathway with apigenin in MED12-mutant leiomyoma cells. Cancer Gene Therapy. 32(4). 393–402. 1 indexed citations
3.
Coon, John S., Shimeng Liu, Takashi Iizuka, et al.. (2023). MED12 mutation activates the tryptophan/kynurenine/AHR pathway to promote growth of uterine leiomyomas. JCI Insight. 8(18). 6 indexed citations
4.
Liu, Shimeng, Ping Yin, John S. Coon, et al.. (2020). Targeting DNA Methylation Depletes Uterine Leiomyoma Stem Cell–enriched Population by Stimulating Their Differentiation. Endocrinology. 161(10). 18 indexed citations
5.
Zhang, Ying, Beth Blondin, Jing Du, et al.. (2014). Identification of FISH biomarkers to detect chromosome abnormalities associated with prostate adenocarcinoma in tumour and field effect environment. BMC Cancer. 14(1). 129–129. 8 indexed citations
6.
Yun, Jieun, Antonio Pannuti, Ignacio Espinoza, et al.. (2013). Crosstalk between PKCα and Notch-4 in endocrine-resistant breast cancer cells. Oncogenesis. 2(8). e60–e60. 56 indexed citations
7.
Ono, Masanori, Wenan Qiang, Vanida A. Serna, et al.. (2012). Role of Stem Cells in Human Uterine Leiomyoma Growth. PLoS ONE. 7(5). e36935–e36935. 116 indexed citations
8.
Yin, Ping, Zhihong Lin, Scott Reierstad, et al.. (2010). Transcription Factor KLF11 Integrates Progesterone Receptor Signaling and Proliferation in Uterine Leiomyoma Cells. Cancer Research. 70(4). 1722–1730. 71 indexed citations
9.
Borgia, Jeffrey A., Sanjib Basu, L. Penfield Faber, et al.. (2009). Establishment of a Multi-Analyte Serum Biomarker Panel to Identify Lymph Node Metastases in Non-small Cell Lung Cancer. Journal of Thoracic Oncology. 4(3). 338–347. 33 indexed citations
10.
Buckingham, Lela, John S. Coon, Larry E. Morrison, et al.. (2007). The Prognostic Value of Chromosome 7 Polysomy in Non-small Cell Lung Cancer Patients Treated with Gefitinib. Journal of Thoracic Oncology. 2(5). 414–422. 30 indexed citations
11.
Jacobson, Kris, Larry E. Morrison, Beth Blondin, et al.. (2004). Gene copy mapping of the ERBB2/TOP2A region in breast cancer. Genes Chromosomes and Cancer. 40(1). 19–31. 29 indexed citations
12.
Coon, John S., Elizabeth A. Marcus, Shalina Gupta-Burt, et al.. (2002). Amplification and overexpression of topoisomerase IIalpha predict response to anthracycline-based therapy in locally advanced breast cancer.. PubMed. 8(4). 1061–7. 145 indexed citations
13.
Friedman, Michael, et al.. (2001). Prognostic significance of Bcl‐2 and p53 expression in advanced laryngeal squamous cell carcinoma. Head & Neck. 23(4). 280–285. 27 indexed citations
14.
Komarov, Pavel G., Аlexander А. Shtil, Oksana Holian, et al.. (1998). Activation of the LRP (lung resistance-related protein) gene by short-term exposure of human leukemia cells to phorbol ester and cytarabine.. PubMed. 10(4). 185–92. 20 indexed citations
15.
Coon, John S., et al.. (1996). Proliferation of epithelia of noninvolved mucosa in patients with head and neck cancer. Head & Neck. 18(6). 522–528. 20 indexed citations
16.
Dudeja, Pradeep K., K.M. Anderson, Jack Harris, Lela Buckingham, & John S. Coon. (1995). Reversal of Multidrug-Resistance Phenotype by Surfactants: Relationship to Membrane Lipid Fluidity. Archives of Biochemistry and Biophysics. 319(1). 309–315. 128 indexed citations
17.
Coon, John S. & Ronald S. Weinstein. (1991). Diagnostic flow cytometry. Williams & Wilkins eBooks. 25 indexed citations
18.
Weinstein, Ronald S., Jerome R. Kuszak, Larry Kluskens, & John S. Coon. (1990). P-glycoproteins in pathology: The multidrug resistance gene family in humans. Human Pathology. 21(1). 34–48. 138 indexed citations
19.
Kheir, Sonia M., Steven D. Bines, Jamie H. VonRoenn, et al.. (1988). Prognostic Significance of DNA Aneuploidy in Stage I Cutaneous Melanoma. Annals of Surgery. 207(4). 455–461. 86 indexed citations
20.
Coon, John S., Arline D. Deitch, Leopold G. Koss, et al.. (1988). Interinstitutional variability in DNA flow cytometric analysis of tumors. The National Cancer Institute's flow cytometry network experience. Cancer. 61(1). 126–130. 42 indexed citations

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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