John P. Coan

646 total citations
8 papers, 244 citations indexed

About

John P. Coan is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, John P. Coan has authored 8 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in John P. Coan's work include HER2/EGFR in Cancer Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Lung Cancer Treatments and Mutations (2 papers). John P. Coan is often cited by papers focused on HER2/EGFR in Cancer Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Lung Cancer Treatments and Mutations (2 papers). John P. Coan collaborates with scholars based in United States, Netherlands and Germany. John P. Coan's co-authors include Mari Iida, Deric L. Wheeler, Harsh Bahrar, Ravi Salgia, Toni M. Brand, Randall J. Kimple, David T. Yang, Andrew P. Stein, Victoria Villaflor and Vassiliki Saloura and has published in prestigious journals such as Nature Immunology, Scientific Reports and Clinical Cancer Research.

In The Last Decade

John P. Coan

8 papers receiving 244 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
John P. Coan United States	6	118	111	90	46	33	8	244
Christian H. Bergsland Norway	10	153 1.3×	127 1.1×	81 0.9×	62 1.3×	23 0.7×	14	299
Michelle Yeagley United States	8	143 1.2×	162 1.5×	106 1.2×	76 1.7×	11 0.3×	15	317
Bipasha Mukherjee United States	4	101 0.9×	165 1.5×	33 0.4×	62 1.3×	16 0.5×	6	278
Lisa Bruns Germany	6	63 0.5×	64 0.6×	167 1.9×	21 0.5×	38 1.2×	8	300
Hannah Dry United Kingdom	6	166 1.4×	143 1.3×	29 0.3×	45 1.0×	42 1.3×	12	295
Yusuke Shinchi Japan	10	141 1.2×	81 0.7×	112 1.2×	84 1.8×	6 0.2×	16	269
Konstanty Korski Poland	10	117 1.0×	168 1.5×	67 0.7×	47 1.0×	10 0.3×	26	302
Marie‐Emmanuelle Legrier France	6	90 0.8×	95 0.9×	40 0.4×	76 1.7×	18 0.5×	9	220
C Ludwig United States	6	86 0.7×	215 1.9×	65 0.7×	45 1.0×	16 0.5×	8	318
Ágatha Martín Spain	4	213 1.8×	106 1.0×	108 1.2×	43 0.9×	17 0.5×	15	326

Countries citing papers authored by John P. Coan

Since Specialization

Citations

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

Fields of papers citing papers by John P. Coan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John P. Coan

This figure shows the co-authorship network connecting the top 25 collaborators of John P. Coan. A scholar is included among the top collaborators of John P. Coan 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 P. Coan. John P. Coan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Toulany, Mahmoud, et al.. (2022). Targeting HER3-dependent activation of nuclear AKT improves radiotherapy of non-small cell lung cancer. Radiotherapy and Oncology. 174. 92–100. 7 indexed citations

2.

Cheung, Peggie, Steven Schaffert, Sarah E. Chang, et al.. (2021). Repression of CTSG, ELANE and PRTN3-mediated histone H3 proteolytic cleavage promotes monocyte-to-macrophage differentiation. Nature Immunology. 22(6). 711–722. 45 indexed citations

3.

Li, Tie‐Mei, Jing Ren, Dylan Husmann, et al.. (2020). Multivalent tumor suppressor adenomatous polyposis coli promotes Axin biomolecular condensate formation and efficient β-catenin degradation. Scientific Reports. 10(1). 17425–17425. 16 indexed citations

4.

Li, Tie‐Mei, John P. Coan, Krzysztof Krajewski, et al.. (2019). Binding to medium and long chain fatty acyls is a common property of HEAT and ARM repeat modules. Scientific Reports. 9(1). 14226–14226. 4 indexed citations

5.

Iida, Mari, Harsh Bahrar, Toni M. Brand, et al.. (2016). Targeting the HER Family with Pan-HER Effectively Overcomes Resistance to Cetuximab. Molecular Cancer Therapeutics. 15(9). 2175–2186. 33 indexed citations

6.

Iida, Mari, Harsh Bahrar, Toni M. Brand, et al.. (2016). Targeting the HER family with Pan-HER effectively overcomes resistance to cetuximab. European Journal of Cancer. 69. S73–S73. 1 indexed citations

7.

Brand, Toni M., Mari Iida, Andrew P. Stein, et al.. (2015). AXL Is a Logical Molecular Target in Head and Neck Squamous Cell Carcinoma. Clinical Cancer Research. 21(11). 2601–2612. 89 indexed citations

8.

Iida, Mari, Toni M. Brand, Megan M. Starr, et al.. (2014). Overcoming acquired resistance to cetuximab by dual targeting HER family receptors with antibody-based therapy. Molecular Cancer. 13(1). 242–242. 49 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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