Kenneth J. Auberry

2.5k citations
17 papers · 1.9k indexed · 1 hit paper · h-index 13
Topics
Advanced Proteomics Techniques and Applications (9 papers)Mass Spectrometry Techniques and Applications (9 papers)Metabolomics and Mass Spectrometry Studies (6 papers)
Partner nations
United StatesGermany

In The Last Decade

Kenneth J. Auberry

17 papers receiving 1.9k citations

Hit Papers

Toward a Human Blood Serum Proteome20022026201020182002200400600

Peers

Kenneth J. Auberry
Comparison fields: 5 of 120
  • Molecular Biology 1.0k
  • Spectroscopy 847
  • Epidemiology 469
  • Biomedical Engineering 146
  • Parasitology 144
Replace Eugene A. Kapp with:
Eugene A. Kapp Australia
Derek Smith Canada
Alessandra Luchini United States
Vinzenz Lange Germany
J. M. R. Parker Canada
Alexandra van Remoortere Netherlands
Anna Lobley United Kingdom
Robert Wildgruber Germany
Lee Lomas United States
Eberhard Dürr United States
Kenneth J. Auberry relative to Eugene A. Kapp Australia Eugene A. Kapp's profile →
Citations per field
00.5×3.7×
Eugene A. Kapp · 1×
Citations per year

Countries citing papers authored by Kenneth J. Auberry

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth J. Auberry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth J. Auberry. 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 Kenneth J. Auberry. The network helps show where Kenneth J. Auberry may publish in the future.

Co-authorship network of co-authors of Kenneth J. Auberry

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 4
2 17
3 1
4 60
5 56
6 122
7 3
8 53
9 25
10
Integrating Evolving Tools for Proteomics Research
1
11 490
12 41
13 19
14 80
15 253
16
Toward a Human Blood Serum Proteomebreakdown →
655
17 37

About Kenneth J. Auberry

Kenneth J. Auberry is a scholar working on Spectroscopy, Endocrinology and Molecular Biology, having authored 17 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (9 papers), Mass Spectrometry Techniques and Applications (9 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). The work is most often cited by research in Spectroscopy (847 citations), Parasitology (144 citations) and Molecular Biology (1.0k citations). Kenneth J. Auberry has collaborated with scholars based in United States and Germany. Frequent co-authors include Richard Smith, Susan M. Varnum, Joshua Adkins, Ronald Moore, Joel G. Pounds, David L. Springer, Matthew Monroe, Ljiljana Paša‐Tolić, David Camp and Karin Rodland. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

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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