Neil R. Taylor

1.7k citations
27 papers · 1.4k indexed · h-index 16
Topics
Glycosylation and Glycoproteins Research (8 papers)Influenza Virus Research Studies (7 papers)Protein Structure and Dynamics (5 papers)

In The Last Decade

Neil R. Taylor

27 papers receiving 1.3k citations

Peers

Neil R. Taylor
Comparison fields: 5 of 111
  • Molecular Biology 571
  • Organic Chemistry 515
  • Epidemiology 367
  • Materials Chemistry 253
  • Computational Theory and Mathematics 154
Replace Christopher A. Lepre with:
Christopher A. Lepre United States
Hans De Winter Belgium
Lee F. Kuyper United States
Lars Neumann Germany
P. Dan Cook United States
Stephan L. Ginell United States
H. Shimizu Japan
Dianne L. DeCamp United States
Brian P. Hudson United States
Eric Buisine France
Neil R. Taylor relative to Christopher A. Lepre United States Christopher A. Lepre's profile →
Citations per field
00.5×3.7×
Christopher A. Lepre · 1×
Citations per year

Countries citing papers authored by Neil R. Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Neil R. Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil R. Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of Neil R. Taylor. A scholar is included among the top collaborators of Neil R. 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 Neil R. Taylor. Neil R. 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
#WorkIndexed citations
1 129
2 16
3 2
4 56
5 3
6 15
7 7
8
Analysis of a High Temperature Fission Chamber Experiment for Next Generation Reactors
2
9 24
10 41
11 78
12 37
13 294
14 16
15 10
16 28
17 18
18 158
19 133
20 11

About Neil R. Taylor

Neil R. Taylor is a scholar working on Epidemiology, Radiation and Virology, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Influenza Virus Research Studies (7 papers) and Protein Structure and Dynamics (5 papers). The work is most often cited by research in Organic Chemistry (515 citations), Epidemiology (367 citations) and Computational Theory and Mathematics (154 citations). Neil R. Taylor has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Mark von Itzstein, Lei R. Cao, Peter D. Howes, Steven L. Sollis, Paul W. Smith, Michael S. Pegg, Andrew K.J. Chong, Peter C. Cherry, Richard C. Bethell and Lei Pan. Their work appears in journals such as Nature Communications, Applied Physics Letters and Biochemical Journal.

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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