Bradley C. Naylor

19 total papers · 645 total citations
14 papers, 488 citations indexed

About

Bradley C. Naylor is a scholar working on Molecular Biology, Spectroscopy and Organic Chemistry. According to data from OpenAlex, Bradley C. Naylor has authored 14 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Spectroscopy and 2 papers in Organic Chemistry. Recurrent topics in Bradley C. Naylor's work include Metabolomics and Mass Spectrometry Studies (6 papers), Mass Spectrometry Techniques and Applications (5 papers) and Advanced Proteomics Techniques and Applications (4 papers). Bradley C. Naylor is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (6 papers), Mass Spectrometry Techniques and Applications (5 papers) and Advanced Proteomics Techniques and Applications (4 papers). Bradley C. Naylor collaborates with scholars based in United States, United Kingdom and Australia. Bradley C. Naylor's co-authors include N.L. Poyser, John C. Price, Rebecca L. Jones, N.H. Wilson, Karyn L. Hamilton, J. Alan Maschek, Benjamin F. Miller, James E. Cox, Richard H. Carson and Joshua C. Drake and has published in prestigious journals such as Bioinformatics, Analytical Chemistry and Journal of Lipid Research.

In The Last Decade

Bradley C. Naylor

14 papers receiving 470 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Bradley C. Naylor 258 96 85 75 70 14 488
Ching H. Chang 196 0.8× 74 0.8× 39 0.5× 24 0.3× 20 0.3× 19 455
Manik Ganguly 150 0.6× 76 0.8× 17 0.2× 16 0.2× 53 0.8× 16 456
Xi Chen 154 0.6× 25 0.3× 40 0.5× 29 0.4× 39 0.6× 23 462
James M. Willard 309 1.2× 59 0.6× 38 0.4× 22 0.3× 9 0.1× 23 518
Theodore L. Swartz 268 1.0× 49 0.5× 11 0.1× 22 0.3× 40 0.6× 13 499
Ruchika Bhawal 222 0.9× 15 0.2× 53 0.6× 24 0.3× 15 0.2× 24 442
Milos Stastny 357 1.4× 44 0.5× 22 0.3× 34 0.5× 34 0.5× 15 518
S K Gross 224 0.9× 54 0.6× 36 0.4× 29 0.4× 28 0.4× 18 448
Damodar K. Mahajan 109 0.4× 99 1.0× 13 0.2× 11 0.1× 44 0.6× 17 503
Vannuruswamy Garikapati 238 0.9× 45 0.5× 72 0.8× 19 0.3× 47 0.7× 18 484

Countries citing papers authored by Bradley C. Naylor

Since Specialization
Citations

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

Fields of papers citing papers by Bradley C. Naylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bradley C. Naylor. 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 Bradley C. Naylor. The network helps show where Bradley C. Naylor may publish in the future.

Co-authorship network of co-authors of Bradley C. Naylor

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

All Works

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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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