Samuel Taylor

1.2k total citations · 1 hit paper
9 papers, 507 citations indexed

About

Samuel Taylor is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Immunology. According to data from OpenAlex, Samuel Taylor has authored 9 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Immunology. Recurrent topics in Samuel Taylor's work include Metabolism, Diabetes, and Cancer (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Immunotherapy and Immune Responses (2 papers). Samuel Taylor is often cited by papers focused on Metabolism, Diabetes, and Cancer (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Immunotherapy and Immune Responses (2 papers). Samuel Taylor collaborates with scholars based in United States, United Kingdom and Italy. Samuel Taylor's co-authors include Marcus D. Goncalves, Lewis C. Cantley, John N. Falcone, Roger J. Liang, Kyu Y. Rhee, Shakti Ramsamooj, Shoba Amarnath, Navid Nahiyaan, Seo‐Kyoung Hwang and Daniel H. Fowler and has published in prestigious journals such as Nature, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Samuel Taylor

8 papers receiving 505 citations

Hit Papers

Dietary fructose improves intestinal cell survival and nu... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel Taylor United States 7 209 148 137 123 86 9 507
Hann Low Australia 14 125 0.6× 225 1.5× 181 1.3× 56 0.5× 114 1.3× 19 569
Huijian Yang China 9 177 0.8× 91 0.6× 105 0.8× 56 0.5× 56 0.7× 23 447
Man-Ping Wu China 13 129 0.6× 325 2.2× 156 1.1× 75 0.6× 89 1.0× 17 624
Jingting Qiao China 5 171 0.8× 227 1.5× 45 0.3× 78 0.6× 32 0.4× 5 389
Lance Kates France 7 162 0.8× 328 2.2× 201 1.5× 159 1.3× 140 1.6× 7 669
Anneleen Remmerie Belgium 4 160 0.8× 165 1.1× 67 0.5× 54 0.4× 24 0.3× 4 423
Helena Lei Canada 6 168 0.8× 212 1.4× 30 0.2× 129 1.0× 35 0.4× 6 555
Sara Alsaaty United States 8 154 0.7× 206 1.4× 67 0.5× 95 0.8× 18 0.2× 11 458
Ju Youn Kim South Korea 10 64 0.3× 189 1.3× 57 0.4× 88 0.7× 42 0.5× 29 620
Zhigang Chen United States 9 112 0.5× 192 1.3× 121 0.9× 29 0.2× 33 0.4× 14 404

Countries citing papers authored by Samuel Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Taylor. A scholar is included among the top collaborators of Samuel 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 Samuel Taylor. Samuel Taylor 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.
Taylor, Samuel, Jean M. Connors, & Vinayak Venkataraman. (2024). Hyperfibrinolysis during the treatment of rhabdomyosarcoma. Research and Practice in Thrombosis and Haemostasis. 8(4). 102467–102467.
2.
Mathur, Deepti, Chen Liao, Alessandro La Ferlita, et al.. (2023). The Ratio of Key Metabolic Transcripts Is a Predictive Biomarker of Breast Cancer Metastasis to the Lung. Cancer Research. 83(20). 3478–3491. 7 indexed citations
3.
Langer, Henning T., et al.. (2023). The proteasome regulates body weight and systemic nutrient metabolism during fasting. American Journal of Physiology-Endocrinology and Metabolism. 325(5). E500–E512. 5 indexed citations
4.
Taylor, Samuel, John N. Falcone, Lewis C. Cantley, & Marcus D. Goncalves. (2022). Developing dietary interventions as therapy for cancer. Nature reviews. Cancer. 22(8). 452–466. 93 indexed citations
5.
Taylor, Samuel, Shakti Ramsamooj, Roger J. Liang, et al.. (2021). Dietary fructose improves intestinal cell survival and nutrient absorption. Nature. 597(7875). 263–267. 194 indexed citations breakdown →
6.
Liang, Roger J., Samuel Taylor, Navid Nahiyaan, et al.. (2021). GLUT5 (SLC2A5) enables fructose-mediated proliferation independent of ketohexokinase. SHILAP Revista de lepidopterología. 9(1). 12–12. 16 indexed citations
7.
Amarnath, Shoba, Arian Laurence, Renato Cunha, et al.. (2017). Tbet is a critical modulator of FoxP3 expression in autoimmune graft- versus -host disease. Haematologica. 102(8). 1446–1456. 10 indexed citations
8.
Taylor, Samuel, Yuefeng Huang, Grace Mallett, et al.. (2017). PD-1 regulates KLRG1+ group 2 innate lymphoid cells. The Journal of Experimental Medicine. 214(6). 1663–1678. 167 indexed citations
9.
Oaks, Martin K., et al.. (2013). Autoantibodies targeting tumor-associated antigens in metastatic cancer. OncoImmunology. 2(6). e24841–e24841. 15 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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