John P. Hagan

9.9k total citations · 5 hit papers
64 papers, 7.7k citations indexed

About

John P. Hagan is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, John P. Hagan has authored 64 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 18 papers in Cancer Research and 12 papers in Genetics. Recurrent topics in John P. Hagan's work include MicroRNA in disease regulation (18 papers), RNA Research and Splicing (9 papers) and RNA modifications and cancer (8 papers). John P. Hagan is often cited by papers focused on MicroRNA in disease regulation (18 papers), RNA Research and Splicing (9 papers) and RNA modifications and cancer (8 papers). John P. Hagan collaborates with scholars based in United States, Italy and China. John P. Hagan's co-authors include Carlo M. Croce, Hansjüerg Alder, Stefano Volinia, Richard I. Gregory, Elena Piskounova, Chang‐Gong Liu, James E. Thornton, Cristian Taccioli, Miriam R. Menezes and Julien Balzeau and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and JAMA.

In The Last Decade

John P. Hagan

63 papers receiving 7.6k citations

Hit Papers

MicroRNA Expression Patterns to Differentiate Pancreatic ... 2006 2026 2012 2019 2007 2011 2006 2008 2011 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John P. Hagan United States 35 5.6k 4.2k 929 728 683 64 7.7k
Nicola Zanesi United States 37 6.2k 1.1× 4.4k 1.0× 834 0.9× 1.1k 1.5× 1.1k 1.6× 83 7.9k
Michael D. Hogarty United States 42 3.9k 0.7× 2.3k 0.6× 1.5k 1.6× 593 0.8× 459 0.7× 110 6.9k
Monica Fedele Italy 46 4.5k 0.8× 2.4k 0.6× 1.2k 1.3× 572 0.8× 588 0.9× 129 6.5k
Chuanyue Wu United States 58 5.8k 1.0× 1.5k 0.4× 1.2k 1.3× 651 0.9× 1.1k 1.6× 177 10.8k
Ng Shyh‐Chang China 23 4.5k 0.8× 2.7k 0.7× 716 0.8× 282 0.4× 459 0.7× 44 6.3k
Kristiina Vuori United States 44 5.5k 1.0× 1.4k 0.3× 1.5k 1.6× 402 0.6× 1.3k 1.9× 81 9.0k
Hao Zhu United States 37 4.4k 0.8× 1.6k 0.4× 471 0.5× 628 0.9× 575 0.8× 116 6.2k
Xosé S. Puente Spain 40 3.2k 0.6× 2.3k 0.5× 1.7k 1.9× 620 0.9× 704 1.0× 80 6.5k
Rami I. Aqeilan United States 48 8.4k 1.5× 5.2k 1.2× 1.5k 1.6× 2.5k 3.4× 1.1k 1.7× 121 11.2k
Jamie J. Newman United States 12 5.5k 1.0× 2.1k 0.5× 1.2k 1.3× 472 0.6× 488 0.7× 21 6.6k

Countries citing papers authored by John P. Hagan

Since Specialization
Citations

This map shows the geographic impact of John P. Hagan'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. Hagan 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. Hagan more than expected).

Fields of papers citing papers by John P. Hagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of John P. Hagan. A scholar is included among the top collaborators of John P. Hagan 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. Hagan. John P. Hagan 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.
Diaz, Miguel F., Megan Livingston, John M. Lamar, et al.. (2022). RhoA‐ROCK competes with YAP to regulate amoeboid breast cancer cell migration in response to lymphatic‐like flow. FASEB BioAdvances. 4(5). 342–361. 14 indexed citations
2.
Xu, Zhen, Yan‐Ning Rui, John P. Hagan, & Dong Kim. (2019). Intracranial Aneurysms: Pathology, Genetics, and Molecular Mechanisms. NeuroMolecular Medicine. 21(4). 325–343. 80 indexed citations
3.
Lee, Hyun Jung, et al.. (2017). Fluid shear stress activates YAP1 to promote cancer cell motility. Nature Communications. 8(1). 14122–14122. 209 indexed citations
4.
Balzeau, Julien, Miriam R. Menezes, Siyu Cao, & John P. Hagan. (2017). The LIN28/let-7 Pathway in Cancer. Frontiers in Genetics. 8. 31–31. 353 indexed citations
5.
Rui, Yan‐Ning, Zhen Xu, Xiaoqian Fang, et al.. (2017). The Intracranial Aneurysm Gene THSD1 Connects Endosome Dynamics to Nascent Focal Adhesion Assembly. Cellular Physiology and Biochemistry. 43(6). 2200–2211. 12 indexed citations
6.
Santiago‐Sim, Teresa, Xiaoqian Fang, Steven R. DePalma, et al.. (2016). THSD1(Thrombospondin Type 1 Domain Containing Protein 1) Mutation in the Pathogenesis of Intracranial Aneurysm and Subarachnoid Hemorrhage. Stroke. 47(12). 3005–3013. 34 indexed citations
7.
Chen, Leon, Yuqing Zhang, Jingxuan Yang, John P. Hagan, & Min Li. (2013). Vertebrate animal models of glioma: Understanding the mechanisms and developing new therapies. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1836(1). 158–165. 58 indexed citations
8.
Piskounova, Elena, Christos Polytarchou, James E. Thornton, et al.. (2011). Lin28A and Lin28B Inhibit let-7 MicroRNA Biogenesis by Distinct Mechanisms. Cell. 147(5). 1066–1079. 506 indexed citations breakdown →
9.
Zhu, Hao, Ng Shyh‐Chang, Ayellet V. Segrè, et al.. (2011). The Lin28/let-7 Axis Regulates Glucose Metabolism. Cell. 147(1). 81–94. 724 indexed citations breakdown →
10.
Wang, Chuansong, Yi Xiao, Xiuping Liu, et al.. (2010). Targeting Activation-Induced Cytidine Deaminase Overcome Tumor Evasion of Immunotherapy by CTLs. The Journal of Immunology. 184(10). 5435–5443. 13 indexed citations
11.
Wenzel, Pamela L., Maria Teresa Sáenz-Robles, John P. Hagan, et al.. (2010). Cell proliferation in the absence of E2F1-3. Developmental Biology. 351(1). 35–45. 51 indexed citations
12.
Northcott, Paul A., Africa Fernández-L, John P. Hagan, et al.. (2009). The miR-17/92 Polycistron Is Up-regulated in Sonic Hedgehog–Driven Medulloblastomas and Induced by N-myc in Sonic Hedgehog–Treated Cerebellar Neural Precursors. Cancer Research. 69(8). 3249–3255. 227 indexed citations
13.
Hagan, John P., Elena Piskounova, & Richard I. Gregory. (2009). Lin28 recruits the TUTase Zcchc11 to inhibit let-7 maturation in mouse embryonic stem cells. Nature Structural & Molecular Biology. 16(10). 1021–1025. 422 indexed citations
14.
Schmid, Tobias, Aaron P. Jansen, Alyson R. Baker, et al.. (2008). Translation Inhibitor Pdcd4 Is Targeted for Degradation during Tumor Promotion. Cancer Research. 68(5). 1254–1260. 126 indexed citations
15.
Taccioli, Cristian, Enrica Fabbri, Rosa Visone, et al.. (2008). UCbase & miRfunc: a database of ultraconserved sequences and microRNA function. Nucleic Acids Research. 37(Database). D41–D48. 31 indexed citations
16.
Aqeilan, Rami I., Mohammad Q. Hassan, Alain de Bruin, et al.. (2008). The WWOX Tumor Suppressor Is Essential for Postnatal Survival and Normal Bone Metabolism. Journal of Biological Chemistry. 283(31). 21629–21639. 109 indexed citations
17.
Hagan, John P. & Carlo M. Croce. (2007). MicroRNAs in carcinogenesis. Cytogenetic and Genome Research. 118(2-4). 252–259. 55 indexed citations
18.
Bloomston, Mark, Wendy L. Frankel, Fabio Petrocca, et al.. (2007). MicroRNA Expression Patterns to Differentiate Pancreatic Adenocarcinoma From Normal Pancreas and Chronic Pancreatitis. JAMA. 297(17). 1901–1901. 939 indexed citations breakdown →
19.
Pekarsky, Yuri, Urmila Santanam, Amelia Cimmino, et al.. (2006). Tcl1 Expression in Chronic Lymphocytic Leukemia Is Regulated by miR-29 and miR-181. Cancer Research. 66(24). 11590–11593. 435 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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