Jason Taylor

13.2k total citations · 1 hit paper
51 papers, 1.9k citations indexed

About

Jason Taylor is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Jason Taylor has authored 51 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hematology, 14 papers in Molecular Biology and 8 papers in Oncology. Recurrent topics in Jason Taylor's work include Hemophilia Treatment and Research (12 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers) and T-cell and Retrovirus Studies (4 papers). Jason Taylor is often cited by papers focused on Hemophilia Treatment and Research (12 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers) and T-cell and Retrovirus Studies (4 papers). Jason Taylor collaborates with scholars based in United States, United Kingdom and Australia. Jason Taylor's co-authors include Neil Gershenfeld, Ben Recht, Joseph J. Shatzel, Andy Purvis, Donаld L. J. Quicke, Carol Harvey, Michael Recht, Luis P. Villarreal, Robert F. Klein and Christos Pantelis and has published in prestigious journals such as Science, Blood and PLoS ONE.

In The Last Decade

Jason Taylor

49 papers receiving 1.8k citations

Hit Papers

Physical One-Way Functions 2002 2026 2010 2018 2002 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Taylor United States 14 1.1k 881 462 184 171 51 1.9k
Michael P. Flynn United States 37 132 0.1× 3.7k 4.2× 626 1.4× 184 1.0× 145 0.8× 190 4.7k
Paul Müller Germany 26 26 0.0× 678 0.8× 219 0.5× 201 1.1× 533 3.1× 158 2.7k
Hiroshi Nozawa Japan 20 42 0.0× 375 0.4× 62 0.1× 139 0.8× 676 4.0× 94 1.6k
Michael A. Murphy United States 33 19 0.0× 58 0.1× 726 1.6× 39 0.2× 292 1.7× 99 3.5k
Joe Pitt‐Francis United Kingdom 20 33 0.0× 92 0.1× 74 0.2× 27 0.1× 676 4.0× 52 1.8k
Andrew Phillips United Kingdom 27 13 0.0× 268 0.3× 105 0.2× 89 0.5× 2.1k 12.5× 58 2.6k
Martin Graham United Kingdom 12 74 0.1× 560 0.6× 10 0.0× 160 0.9× 195 1.1× 36 1.2k
David K. Jackson United Kingdom 18 17 0.0× 18 0.0× 244 0.5× 65 0.4× 1.8k 10.7× 43 3.5k
Zonghua Liu China 37 4 0.0× 210 0.2× 325 0.7× 165 0.9× 476 2.8× 216 5.1k
N. Ohkubo Japan 15 125 0.1× 534 0.6× 4 0.0× 11 0.1× 26 0.2× 37 899

Countries citing papers authored by Jason Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Jason Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Taylor. A scholar is included among the top collaborators of Jason Taylor 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 Taylor. Jason Taylor 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.
Dumbrava, Ecaterina E., Fábio M. Iwamoto, Mark Agulnik, et al.. (2024). Abstract CT066: Phase 1 study of MDM2 antagonist ASTX295 in patients with solid tumors with wild-type TP53. Cancer Research. 84(7_Supplement). CT066–CT066. 1 indexed citations
2.
Shibuya, Yusuke, Kristen Zeligs, David E. Anderson, et al.. (2023). SMAC Mimetics Synergistically Cooperate with HDAC Inhibitors Enhancing TNF-α Autocrine Signaling. Cancers. 15(4). 1315–1315. 2 indexed citations
3.
Taylor, Jason, et al.. (2021). Deletion of Coagulation Factor IX Compromises Bone Mass and Strength: Murine Model of Hemophilia B (Christmas Disease). Calcified Tissue International. 109(5). 577–585. 5 indexed citations
4.
Singer, Jack W., Suliman Al‐Fayoumi, Jason Taylor, Sharlene Velichko, & Alison O’Mahony. (2019). Comparative phenotypic profiling of the JAK2 inhibitors ruxolitinib, fedratinib, momelotinib, and pacritinib reveals distinct mechanistic signatures. PLoS ONE. 14(9). e0222944–e0222944. 37 indexed citations
5.
Lattimore, Susan, et al.. (2018). Decreased Skeletal Health Negatively Impacts Quality of Life of People with Hemophilia. Blood. 132(Supplement 1). 1207–1207. 1 indexed citations
6.
Taylor, Jason, et al.. (2018). The Role of Thrombin Deficiency on Skeletal Health. Blood. 132(Supplement 1). 5012–5012. 3 indexed citations
7.
Taylor, Jason, et al.. (2017). Factor VIII Plays a Direct Role in Osteoblast Development. Blood. 130. 3661–3661. 6 indexed citations
8.
Taylor, Jason, et al.. (2016). Factor IX-Deficient Mice Have Decreased Skeletal Health. Blood. 128(22). 559–559. 4 indexed citations
9.
Shatzel, Joseph J. & Jason Taylor. (2016). Syndromes of Thrombotic Microangiopathy. Medical Clinics of North America. 101(2). 395–415. 49 indexed citations
10.
Recht, Michael, et al.. (2013). Biomarkers Of Bone Disease In Subjects With Hemophilia. Blood. 122(21). 1113–1113. 4 indexed citations
11.
Adair, Jennifer E., Xin Zhao, Sylvia Chien, et al.. (2012). Cyclophosphamide promotes engraftment of gene-modified cells in a mouse model of Fanconi anemia without causing cytogenetic abnormalities. Journal of Molecular Medicine. 90(11). 1283–1294. 5 indexed citations
12.
Becker, Pamela S., Jason Taylor, Grant D. Trobridge, et al.. (2010). Preclinical correction of human Fanconi anemia complementation group A bone marrow cells using a safety-modified lentiviral vector. Gene Therapy. 17(10). 1244–1252. 29 indexed citations
13.
Taylor, Jason, Lucia Vojtech, Ingrid Bahner, et al.. (2007). Foamy Virus Vectors Expressing Anti-HIV Transgenes Efficiently Block HIV-1 Replication. Molecular Therapy. 16(1). 46–51. 21 indexed citations
14.
Taylor, Jason, et al.. (2006). Effective-medium theory for energy velocity in one-dimensional finite lossless photonic crystals. Physical Review E. 73(6). 66616–66616. 3 indexed citations
15.
Recht, Ben, et al.. (2002). Physical One-Way Functions. Science. 297(5589). 2026–2030. 1293 indexed citations breakdown →
16.
Tewari, Krishnansu S., Jason Taylor, Shu Liao, et al.. (2000). Development and Assessment of a General Theory of Cervical Carcinogenesis Utilizing a Severe Combined Immunodeficiency Murine–Human Xenograft Model. Gynecologic Oncology. 77(1). 137–148. 28 indexed citations
17.
Gottlieb, Keith, et al.. (1998). Approaches to Study Interactions between Small DNA Viruses and Differentiated Tissue. Methods. 16(1). 62–82. 23 indexed citations
18.
Harvey, Carol, et al.. (1996). Four Behavioural Syndromes of Schizophrenia. The British Journal of Psychiatry. 168(5). 562–570. 36 indexed citations
19.
Harvey, Carol, et al.. (1996). The Camden Schizophrenia Surveys. The British Journal of Psychiatry. 168(4). 418–426. 54 indexed citations
20.
Taylor, Jason. (1992). Linking psychiatric registers to decision support systems. Psychiatric Bulletin. 16(5). 275–278. 2 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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