Rachel E. Taylor

780 total citations
8 papers, 623 citations indexed

About

Rachel E. Taylor is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Microbiology. According to data from OpenAlex, Rachel E. Taylor has authored 8 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Microbiology. Recurrent topics in Rachel E. Taylor's work include Glycosylation and Glycoproteins Research (3 papers), Chemical Synthesis and Analysis (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Rachel E. Taylor is often cited by papers focused on Glycosylation and Glycoproteins Research (3 papers), Chemical Synthesis and Analysis (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Rachel E. Taylor collaborates with scholars based in United States, Japan and Chile. Rachel E. Taylor's co-authors include Ajit Varki, Darius Ghaderi, Vered Padler‐Karavani, Sandra Diaz, Victor Nizet, Ricardo U. Sorensen, Christopher Gregg, Hai Yu, Shengshu Huang and Xi Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Nature Biotechnology.

In The Last Decade

Rachel E. Taylor

8 papers receiving 608 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rachel E. Taylor United States 7 428 180 173 84 78 8 623
Jonathan Sjögren Sweden 14 478 1.1× 226 1.3× 178 1.0× 35 0.4× 121 1.6× 17 676
Darius Ghaderi United States 12 899 2.1× 380 2.1× 284 1.6× 146 1.7× 141 1.8× 12 1.1k
Kévin Canis United Kingdom 12 437 1.0× 121 0.7× 189 1.1× 44 0.5× 93 1.2× 14 783
Daniel Roeder United States 7 393 0.9× 83 0.5× 287 1.7× 33 0.4× 34 0.4× 8 737
Cheng‐Yu Chung United States 19 572 1.3× 258 1.4× 126 0.7× 131 1.6× 38 0.5× 29 787
Britni M. Arlian United States 15 349 0.8× 126 0.7× 336 1.9× 27 0.3× 121 1.6× 17 606
Eve Barak Briles United States 10 479 1.1× 83 0.5× 210 1.2× 66 0.8× 117 1.5× 12 743
B. G. Sanders United States 11 328 0.8× 154 0.9× 190 1.1× 48 0.6× 49 0.6× 23 609
Raymond A. Dwek United Kingdom 11 381 0.9× 77 0.4× 152 0.9× 24 0.3× 135 1.7× 11 654
J C Byrd United States 9 522 1.2× 135 0.8× 152 0.9× 51 0.6× 221 2.8× 9 686

Countries citing papers authored by Rachel E. Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Rachel E. Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel E. Taylor

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

All Works

8 of 8 papers shown
1.
Taylor, Rachel E., et al.. (2018). The Relationship between Self-Talk and Flow Experiences in Competitive Athletes. Journal of sport behavior. 41(1). 88. 3 indexed citations
2.
Gulati, Sunita, Ian C. Schoenhofen, Dennis M. Whitfield, et al.. (2015). Utilizing CMP-Sialic Acid Analogs to Unravel Neisseria gonorrhoeae Lipooligosaccharide-Mediated Complement Resistance and Design Novel Therapeutics. PLoS Pathogens. 11(12). e1005290–e1005290. 56 indexed citations
3.
Angata, Takashi, Takeo Ishii, Takashi Motegi, et al.. (2013). Loss of Siglec-14 reduces the risk of chronic obstructive pulmonary disease exacerbation. Cellular and Molecular Life Sciences. 70(17). 3199–3210. 61 indexed citations
4.
Ghaderi, Darius, Stevan A. Springer, Fang Ma, et al.. (2011). Sexual selection by female immunity against paternal antigens can fix loss of function alleles. Proceedings of the National Academy of Sciences. 108(43). 17743–17748. 65 indexed citations
5.
Ghaderi, Darius, Rachel E. Taylor, Vered Padler‐Karavani, Sandra Diaz, & Ajit Varki. (2010). Implications of the presence of N-glycolylneuraminic acid in recombinant therapeutic glycoproteins. Nature Biotechnology. 28(8). 863–867. 284 indexed citations
6.
Taylor, Rachel E., Christopher Gregg, Vered Padler‐Karavani, et al.. (2010). Novel mechanism for the generation of human xeno-autoantibodies against the nonhuman sialic acid N-glycolylneuraminic acid. The Journal of Experimental Medicine. 207(8). 1637–1646. 126 indexed citations
7.
Taylor, Rachel E., et al.. (2004). A progressive synthetic strategy for class B synergimycins. Tetrahedron Letters. 45(10). 2147–2150. 6 indexed citations
8.
Smith, Jason M., et al.. (2003). Novel Antibiotics:  Macrocyclic Peptides Designed to Trap Holliday Junctions. Organic Letters. 5(2). 109–112. 22 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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