David Taylor

3.9k total citations
103 papers, 2.7k citations indexed

About

David Taylor is a scholar working on Surgery, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, David Taylor has authored 103 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Surgery, 32 papers in Genetics and 22 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in David Taylor's work include Diabetes and associated disorders (28 papers), Pancreatic function and diabetes (28 papers) and Diabetes Management and Research (10 papers). David Taylor is often cited by papers focused on Diabetes and associated disorders (28 papers), Pancreatic function and diabetes (28 papers) and Diabetes Management and Research (10 papers). David Taylor collaborates with scholars based in United States, United Kingdom and Australia. David Taylor's co-authors include Jerry L. Nadler, Anca D. Dobrian, Aaron I. Vinik, Jessica R. Weaver, Banumathi K. Cole, Gary L. Pittenger, S. K. Chakrabarti, David C. Lieb, Brian M. J. Foxwell and Sara Kenyon and has published in prestigious journals such as The Lancet, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

David Taylor

97 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Taylor United States 30 675 637 483 437 409 103 2.7k
Keiichi Kodama United States 19 698 1.0× 721 1.1× 522 1.1× 205 0.5× 978 2.4× 31 2.9k
Cyril Mamotte Australia 26 557 0.8× 798 1.3× 390 0.8× 404 0.9× 378 0.9× 67 3.4k
José Rivera Spain 35 377 0.6× 601 0.9× 265 0.5× 399 0.9× 200 0.5× 162 3.7k
Renu Saxena India 29 370 0.5× 755 1.2× 309 0.6× 221 0.5× 113 0.3× 385 4.1k
Dennis J. Dietzen United States 31 373 0.6× 1.3k 2.1× 161 0.3× 213 0.5× 170 0.4× 95 3.4k
Xuchen Zhang United States 35 745 1.1× 2.0k 3.1× 315 0.7× 599 1.4× 331 0.8× 191 4.8k
Lijian Tao China 30 338 0.5× 1.2k 1.8× 102 0.2× 454 1.0× 220 0.5× 148 3.1k
Yoshihiko Hirao Japan 38 1.4k 2.0× 1.5k 2.3× 253 0.5× 233 0.5× 372 0.9× 320 4.9k
R. Poledne Czechia 27 750 1.1× 567 0.9× 303 0.6× 421 1.0× 654 1.6× 205 2.9k
Paola Borgiani Italy 31 168 0.2× 846 1.3× 321 0.7× 556 1.3× 218 0.5× 137 2.6k

Countries citing papers authored by David Taylor

Since Specialization
Citations

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

Fields of papers citing papers by David Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of David Taylor. A scholar is included among the top collaborators of David 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 David Taylor. David 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.
Garth, Belinda, et al.. (2025). Health‐care staff perspectives in optimising delirium prevention using data‐driven interventions. Australasian Journal on Ageing. 44(1). e70011–e70011. 1 indexed citations
2.
Taylor, David, Yanan Hu, Nikolajs Zeps, et al.. (2023). Hospital length of stay prediction tools for all hospital admissions and general medicine populations: systematic review and meta-analysis. Frontiers in Medicine. 10. 1192969–1192969. 6 indexed citations
3.
4.
Wybrow, Michael, et al.. (2022). Understanding the impacts of health information systems on patient flow management: A systematic review across several decades of research. PLoS ONE. 17(9). e0274493–e0274493. 9 indexed citations
5.
Taylor, David, Rupashree Sen, Juan Fu, et al.. (2022). MuSyC dosing of adjuvanted cancer vaccines optimizes antitumor responses. Frontiers in Immunology. 13. 936129–936129. 3 indexed citations
6.
Roy, Sohini, Tarsheen Sethi, David Taylor, Young J. Kim, & Douglas B. Johnson. (2020). Breakthrough concepts in immune-oncology: Cancer vaccines at the bedside. Journal of Leukocyte Biology. 108(4). 1455–1489. 30 indexed citations
7.
Weaver, Jessica R., Jerry L. Nadler, & David Taylor. (2015). Interleukin-12 (IL-12)/STAT4 Axis Is an Important Element for β-Cell Dysfunction Induced by Inflammatory Cytokines. PLoS ONE. 10(11). e0142735–e0142735. 25 indexed citations
8.
Taylor, David, et al.. (2010). Novel high-throughput screening system for cancer therapy with simultaneous combination treatments. 836–838. 1 indexed citations
9.
Taylor, David & Gary L. Pittenger. (2010). Harnessing the Pancreatic Stem Cell. Endocrinology and Metabolism Clinics of North America. 39(4). 763–776. 2 indexed citations
10.
Pittenger, Gary L., David Taylor, & A Vinik. (2009). A role for islet neogenesis in curing diabetes. Diabetologia. 52(5). 735–738. 13 indexed citations
11.
Taylor, David, Gary L. Pittenger, & Aaron I. Vinik. (2008). Transplantation and beyond. Drug Development Research. 69(3). 165–176. 2 indexed citations
12.
Habiba, Marwan, Karel Maršál, Otto P. Bleker, et al.. (2006). Caesarean Section on Request: A Comparison of Obstetricians??? Attitudes in Eight European Countries. Obstetrical & Gynecological Survey. 61(9). 575–576. 5 indexed citations
13.
Taylor, David, Wenjing Shi, Gary L. Pittenger, & Aaron I. Vinik. (2006). PDX-1 can repress stimulus-induced activation of the INGAP promoter. Journal of Endocrinology. 188(3). 611–621. 18 indexed citations
14.
Taylor, David, Angela Bowman, Natasha S. Hamblet, et al.. (2006). Islet neogenesis associated protein transgenic mice are resistant to hyperglycemia induced by streptozotocin. Journal of Endocrinology. 190(3). 729–737. 29 indexed citations
15.
Taylor, David. (2005). Role of the Joint Readiness Training Center in training the Future Force.. Defense Technical Information Center (DTIC).
16.
Taylor, David, et al.. (2003). Cloning genomic INGAP: a Reg-related family member with distinct transcriptional regulation sites. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1638(1). 83–89. 28 indexed citations
17.
Rice, Suman, David Taylor, R. Margara, S. Elizabeth Franks, & Kate Hardy. (2002). Expression of mRNA for IGF-1, IGF-2, type 1-IGF receptor, type 2-IGF receptor and insulin receptor in isolated, human preantral follicles. 1 indexed citations
18.
Clarke, Christopher J., David Taylor, Yuti Chernajovsky, et al.. (1995). Interleukin‐4 inhibits χ light chain expression and NFχB activation but not IχBα degradation in 70Z/3 murine pre‐B cells. European Journal of Immunology. 25(10). 2961–2966. 38 indexed citations
19.
Page, Theresa H., et al.. (1993). Characterization of a novel high affinity human IL-7 receptor. Expression on T cells and association with IL-7 driven proliferation.. The Journal of Immunology. 151(9). 4753–4763. 23 indexed citations
20.
Foxwell, Brian M. J., et al.. (1992). Activation induced changes in expression and structure of the IL-7 receptor on human T cells. International Immunology. 4(2). 277–282. 33 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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