Jason P. Bailey

816 total citations
9 papers, 661 citations indexed

About

Jason P. Bailey is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jason P. Bailey has authored 9 papers receiving a total of 661 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 Endocrinology, Diabetes and Metabolism. Recurrent topics in Jason P. Bailey's work include Growth Hormone and Insulin-like Growth Factors (3 papers), Cancer Cells and Metastasis (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). Jason P. Bailey is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (3 papers), Cancer Cells and Metastasis (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). Jason P. Bailey collaborates with scholars based in United States, Germany and United Kingdom. Jason P. Bailey's co-authors include Nelson D. Horseman, Zhaoyuan Hou, Manabu Matsuda, Archie J. Vomachka, Meenakshi J. Mistry, Sunil Kumar Srivastava, Tatsuhiko Imaoka, Michael Bäder, Gary A. Gudelsky and Diego J. Walther and has published in prestigious journals such as Journal of Biological Chemistry, Endocrinology and Developmental Cell.

In The Last Decade

Jason P. Bailey

9 papers receiving 651 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason P. Bailey United States 9 265 150 139 126 109 9 661
Anthony R. Soames United Kingdom 16 317 1.2× 95 0.6× 150 1.1× 148 1.2× 59 0.5× 31 766
Federico Martı́nez Mexico 19 599 2.3× 51 0.3× 55 0.4× 110 0.9× 22 0.2× 57 1.2k
Brian K. Petroff United States 24 332 1.3× 175 1.2× 271 1.9× 297 2.4× 13 0.1× 70 1.4k
William H. Hanneman United States 20 265 1.0× 60 0.4× 144 1.0× 82 0.7× 36 0.3× 44 967
Barbara A. Murry United States 19 438 1.7× 60 0.4× 54 0.4× 441 3.5× 207 1.9× 25 1.6k
Lorna C Gilligan United Kingdom 14 317 1.2× 61 0.4× 57 0.4× 263 2.1× 90 0.8× 28 1.1k
Erik Ullerås Sweden 16 236 0.9× 38 0.3× 79 0.6× 139 1.1× 35 0.3× 26 657
Dariusz Ratman Belgium 12 273 1.0× 120 0.8× 109 0.8× 236 1.9× 17 0.2× 17 804
Fumio Chatani Japan 18 269 1.0× 56 0.4× 107 0.8× 74 0.6× 37 0.3× 44 939
Penny Soucy Canada 12 397 1.5× 45 0.3× 72 0.5× 345 2.7× 129 1.2× 18 1.0k

Countries citing papers authored by Jason P. Bailey

Since Specialization
Citations

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

Fields of papers citing papers by Jason P. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason P. Bailey

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

All Works

9 of 9 papers shown
1.
Elcombe, Clifford R., Richard C. Peffer, Douglas C. Wolf, et al.. (2013). Mode of action and human relevance analysis for nuclear receptor-mediated liver toxicity: A case study with phenobarbital as a model constitutive androstane receptor (CAR) activator. Critical Reviews in Toxicology. 44(1). 64–82. 216 indexed citations
2.
Saghir, Shakil A., Michael Bartels, David L. Rick, et al.. (2012). Assessment of diurnal systemic dose of agrochemicals in regulatory toxicity testing – An integrated approach without additional animal use. Regulatory Toxicology and Pharmacology. 63(2). 321–332. 43 indexed citations
3.
Goetz, Amber K., et al.. (2011). Current and future use of genomics data in toxicology: Opportunities and challenges for regulatory applications. Regulatory Toxicology and Pharmacology. 61(2). 141–153. 27 indexed citations
4.
Matsuda, Manabu, Tatsuhiko Imaoka, Archie J. Vomachka, et al.. (2004). Serotonin Regulates Mammary Gland Development via an Autocrine-Paracrine Loop. Developmental Cell. 6(2). 193–203. 200 indexed citations
5.
Bailey, Jason P., et al.. (2004). Prolactin and Transforming Growth Factor-β Signaling Exert Opposing Effects on Mammary Gland Morphogenesis, Involution, and the Akt-Forkhead Pathway. Molecular Endocrinology. 18(5). 1171–1184. 33 indexed citations
6.
Srivastava, Sunil Kumar, Manabu Matsuda, Zhaoyuan Hou, et al.. (2003). Receptor Activator of NF-κB Ligand Induction via Jak2 and Stat5a in Mammary Epithelial Cells. Journal of Biological Chemistry. 278(46). 46171–46178. 98 indexed citations
9.
Bailey, Jason P. & M. Edwin DeMont. (1991). The function of the wishbone. Canadian Journal of Zoology. 69(11). 2751–2758. 12 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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