Kevin Taylor

1.7k total citations
16 papers, 1.4k citations indexed

About

Kevin Taylor is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Kevin Taylor has authored 16 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Kevin Taylor's work include Angiogenesis and VEGF in Cancer (4 papers), Biochemical and Molecular Research (2 papers) and Quinazolinone synthesis and applications (2 papers). Kevin Taylor is often cited by papers focused on Angiogenesis and VEGF in Cancer (4 papers), Biochemical and Molecular Research (2 papers) and Quinazolinone synthesis and applications (2 papers). Kevin Taylor collaborates with scholars based in United States, United Kingdom and Sweden. Kevin Taylor's co-authors include Christopher C.W. Hughes, Jason Aoto, Sofía Pérez‐del‐Pulgar, Martin N. Nakatsu, Richard C.A. Sainson, Philip M. Carpenter, Mark Aitkenhead, Douglas E. Vaughan, Nancy J. Brown and Agnes B. Fogo and has published in prestigious journals such as Journal of Biological Chemistry, Development and Diabetes.

In The Last Decade

Kevin Taylor

16 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kevin Taylor United States	14	804	200	172	164	160	16	1.4k
Kyu‐Sil Choi South Korea	20	773 1.0×	140 0.7×	452 2.6×	106 0.6×	175 1.1×	29	1.5k
Chantal Allamargot United States	16	1.0k 1.3×	98 0.5×	80 0.5×	118 0.7×	126 0.8×	27	1.6k
Ingeborg Klaassen Netherlands	28	1.5k 1.9×	113 0.6×	360 2.1×	249 1.5×	113 0.7×	71	3.0k
Arnaud Monvoisin France	21	781 1.0×	82 0.4×	313 1.8×	115 0.7×	81 0.5×	31	1.6k
Domenica Mangieri Italy	29	1.1k 1.4×	85 0.4×	212 1.2×	168 1.0×	98 0.6×	51	2.0k
Olivier Féraud France	20	1.4k 1.8×	81 0.4×	199 1.2×	224 1.4×	130 0.8×	53	1.9k
Mattia Capulli Italy	22	889 1.1×	74 0.4×	279 1.6×	120 0.7×	149 0.9×	53	1.5k
Tetsuya Noguchi Japan	26	1.2k 1.5×	119 0.6×	184 1.1×	203 1.2×	80 0.5×	56	2.3k
Zeng Fan China	17	609 0.8×	73 0.4×	191 1.1×	87 0.5×	136 0.8×	62	1.2k
Yunfang Wang China	24	815 1.0×	166 0.8×	227 1.3×	110 0.7×	158 1.0×	64	2.0k

Countries citing papers authored by Kevin Taylor

Since Specialization

Citations

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

Fields of papers citing papers by Kevin Taylor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Taylor

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

All Works

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16 of 16 papers shown

Ho, Ritchie, Michael J. Workman, Kathryn Wu, et al.. (2020). Cross-Comparison of Human iPSC Motor Neuron Models of Familial and Sporadic ALS Reveals Early and Convergent Transcriptomic Disease Signatures. Cell Systems. 12(2). 159–175.e9. 26 indexed citations

Ho, Ritchie, Michael J. Workman, Kathryn Wu, et al.. (2020). Single-Cell RNA-Seq Analysis of Human iPSC-Derived Motor Neurons Resolves Early and Predictive ALS Signatures. SSRN Electronic Journal. 1 indexed citations

Moncaut, Natalia, Joe W. Cross, Christine Siligan, et al.. (2012). Musculin and TCF21 coordinate the maintenance of myogenic regulatory factor expression levels during mouse craniofacial development. Development. 139(5). 958–967. 36 indexed citations

Ribas, Ricardo, Natalia Moncaut, Christine Siligan, et al.. (2011). Members of the TEAD family of transcription factors regulate the expression of Myf5 in ventral somitic compartments. Developmental Biology. 355(2). 372–380. 30 indexed citations

McHardy, Tatiana, John Caldwell, Kwai-Ming J. Cheung, et al.. (2010). Discovery of 4-Amino-1-(7H-pyrrolo[2,3-d]pyrimidin-4-yl)piperidine-4-carboxamides As Selective, Orally Active Inhibitors of Protein Kinase B (Akt). Journal of Medicinal Chemistry. 53(5). 2239–2249. 67 indexed citations

Taylor, Kevin, et al.. (2008). Identification of Interferon-β-Stimulated Genes that Inhibit Angiogenesis In Vitro. Journal of Interferon & Cytokine Research. 28(12). 733–740. 31 indexed citations

Caldwell, John, Thomas G. Davies, Alastair Donald, et al.. (2008). Identification of 4-(4-Aminopiperidin-1-yl)-7H-pyrrolo[2,3-d]pyrimidines as Selective Inhibitors of Protein Kinase B through Fragment Elaboration. Journal of Medicinal Chemistry. 51(7). 2147–2157. 74 indexed citations

Taylor, Kevin, et al.. (2006). IFN- α 1,8 Inhibits Tumor-Induced Angiogenesis in Murine Angiosarcomas. Journal of Interferon & Cytokine Research. 26(5). 353–361. 19 indexed citations

Ren, Juan, Ying Jiang, Quteba Ebrahem, et al.. (2005). GPR4 plays a critical role in endothelial cell function and mediates the effects of sphingosylphosphorylcholine. The FASEB Journal. 19(7). 1–27. 61 indexed citations

10.

Taylor, Kevin, Talerngsak Kanjanabuch, Youfei Guan, et al.. (2004). Prevention of Obesity and Insulin Resistance in Mice Lacking Plasminogen Activator Inhibitor 1. Diabetes. 53(2). 336–346. 326 indexed citations

11.

Nakatsu, Martin N., Richard C.A. Sainson, Jason Aoto, et al.. (2003). Angiogenic sprouting and capillary lumen formation modeled by human umbilical vein endothelial cells (HUVEC) in fibrin gels: the role of fibroblasts and Angiopoietin-1☆. Microvascular Research. 66(2). 102–112. 374 indexed citations

12.

Nakatsu, Martin N., Richard C.A. Sainson, Sofía Pérez‐del‐Pulgar, et al.. (2003). VEGF121 and VEGF165 Regulate Blood Vessel Diameter Through Vascular Endothelial Growth Factor Receptor 2 in an in vitro Angiogenesis Model. Laboratory Investigation. 83(12). 1873–1885. 121 indexed citations

13.

Taylor, Kevin, et al.. (2002). Notch Activation during Endothelial Cell Network Formation in Vitro Targets the Basic HLH Transcription Factor HESR-1 and Downregulates VEGFR-2/KDR Expression. Microvascular Research. 64(3). 372–383. 173 indexed citations

14.

Czerwiec, Eva, Gail S. Begley, Johan Stenflo, et al.. (2002). Expression and characterization of recombinant vitamin K‐dependent γ‐glutamyl carboxylase from an invertebrate, Conus textile. European Journal of Biochemistry. 269(24). 6162–6172. 40 indexed citations

15.

Begley, Gail S., Barbara C. Furie, Eva Czerwiec, et al.. (2000). A Conserved Motif within the Vitamin K-dependent Carboxylase Gene Is Widely Distributed across Animal Phyla. Journal of Biological Chemistry. 275(46). 36245–36249. 28 indexed citations

16.

Blisard, Karen S., K. D. Fagin, Michael Privitera, et al.. (1994). Experimental seizures in the frog (Rana pipiens). Epilepsy Research. 17(1). 13–22. 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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