Kenneth J. Auberry

2.5k total citations · 1 hit paper
17 papers, 1.9k citations indexed

About

Kenneth J. Auberry is a scholar working on Molecular Biology, Spectroscopy and Epidemiology. According to data from OpenAlex, Kenneth J. Auberry has authored 17 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Spectroscopy and 2 papers in Epidemiology. Recurrent topics in Kenneth J. Auberry's work include Advanced Proteomics Techniques and Applications (9 papers), Mass Spectrometry Techniques and Applications (9 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Kenneth J. Auberry is often cited by papers focused on Advanced Proteomics Techniques and Applications (9 papers), Mass Spectrometry Techniques and Applications (9 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Kenneth J. Auberry collaborates with scholars based in United States and Germany. Kenneth J. Auberry's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

In The Last Decade

Kenneth J. Auberry

17 papers receiving 1.9k citations

Hit Papers

Toward a Human Blood Serum Proteome 2002 2026 2010 2018 2002 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Toward a Human Blood Serum Proteome
    2002 655 citations Joshua Adkins, Susan M. Varnum et al. Molecular & Cellular Proteomics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenneth J. Auberry United States 13 1.0k 847 469 146 144 17 1.9k
Derek Smith Canada 25 1.5k 1.5× 1.2k 1.4× 413 0.9× 245 1.7× 68 0.5× 57 2.7k
Eugene A. Kapp Australia 28 1.4k 1.4× 825 1.0× 128 0.3× 102 0.7× 153 1.1× 49 2.3k
Miloslav Šanda United States 27 1.3k 1.3× 419 0.5× 161 0.3× 73 0.5× 183 1.3× 78 2.1k
Eberhard Dürr United States 16 917 0.9× 380 0.4× 221 0.5× 73 0.5× 39 0.3× 25 1.5k
Robert Wildgruber Germany 17 1.3k 1.3× 768 0.9× 121 0.3× 266 1.8× 38 0.3× 26 2.3k
Vinzenz Lange Germany 20 1.8k 1.7× 1.2k 1.4× 139 0.3× 102 0.7× 138 1.0× 57 3.1k
Alessandra Luchini United States 23 610 0.6× 242 0.3× 188 0.4× 235 1.6× 139 1.0× 65 1.6k
Jean‐Charles Sanchez Switzerland 13 992 1.0× 356 0.4× 116 0.2× 75 0.5× 34 0.2× 14 1.5k
Tony Houthaeve Germany 12 1.3k 1.2× 784 0.9× 102 0.2× 121 0.8× 22 0.2× 15 2.0k
J. M. R. Parker Canada 22 1.9k 1.8× 363 0.4× 307 0.7× 78 0.5× 51 0.4× 40 2.8k

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
1.
Lin, Tiras Y., Gordon Anderson, Randolph V. Norheim, et al.. (2015). An adaptable multiple power source for mass spectrometry and other scientific instruments. Review of Scientific Instruments. 86(9). 94102–94102. 4 indexed citations
2.
Chowdhury, Saiful M., Liang Shi, Hyunjin Yoon, et al.. (2009). A Method for Investigating Protein−Protein Interactions Related to Salmonella Typhimurium Pathogenesis. Journal of Proteome Research. 8(3). 1504–1514. 17 indexed citations
3.
Taylor, Ronald C., Mudita Singhal, Don S. Daly, et al.. (2009). An analysis pipeline for the inference of protein-protein interaction networks. International Journal of Data Mining and Bioinformatics. 3(4). 409–409. 1 indexed citations
4.
Pertz, Olivier, Yingchun Wang, Feng Yang, et al.. (2008). Spatial mapping of the neurite and soma proteomes reveals a functional Cdc42/Rac regulatory network. Proceedings of the National Academy of Sciences. 105(6). 1931–1936. 60 indexed citations
5.
Mayampurath, Anoop, Navdeep Jaitly, Samuel Purvine, et al.. (2008). DeconMSn: a software tool for accurate parent ion monoisotopic mass determination for tandem mass spectra. Bioinformatics. 24(7). 1021–1023. 122 indexed citations
6.
Callister, Stephen, Lee Ann McCue, Joshua E. Turse, et al.. (2008). Comparative Bacterial Proteomics: Analysis of the Core Genome Concept. PLoS ONE. 3(2). e1542–e1542. 56 indexed citations
7.
Taylor, Ronald C., Mudita Singhal, Don S. Daly, et al.. (2007). SEBINI-CABIN: An Analysis Pipeline for Biological Network Inference, with a Case Study in Protein-Protein Interaction Network Reconstruction. 587–593. 3 indexed citations
8.
Adkins, Joshua, Matthew Monroe, Kenneth J. Auberry, et al.. (2005). A proteomic study of the HUPO Plasma Proteome Project's pilot samples using an accurate mass and time tag strategy. PROTEOMICS. 5(13). 3454–3466. 53 indexed citations
9.
Cannon, William R., Kristin H. Jarman, Bobbie‐Jo Webb‐Robertson, et al.. (2005). Comparison of Probability and Likelihood Models for Peptide Identification from Tandem Mass Spectrometry Data. Journal of Proteome Research. 4(5). 1687–1698. 25 indexed citations
10.
Havre, S., Mudita Singhal, Banu Gopalan, et al.. (2004). Integrating Evolving Tools for Proteomics Research. 307–313. 1 indexed citations
11.
Romine, Margaret F., Dwayne A. Elias, Matthew Monroe, et al.. (2004). Validation of Shewanella oneidensis MR-1 Small Proteins by AMT Tag-Based Proteome Analysis. OMICS A Journal of Integrative Biology. 8(3). 239–254. 41 indexed citations
12.
Varnum, Susan M., Daniel N. Streblow, Matthew Monroe, et al.. (2004). Identification of Proteins in Human Cytomegalovirus (HCMV) Particles: the HCMV Proteome. Journal of Virology. 78(20). 10960–10966. 490 indexed citations
13.
Varnum, Susan M., Daniel N. Streblow, Matthew Monroe, et al.. (2004). Identification of Proteins in Human Cytomegalovirus (HCMV) Particles: the HCMV Proteome. Journal of Virology. 78(23). 13395–13395. 19 indexed citations
14.
Jacobs, Jon, Heather M. Mottaz, Li‐Rong Yu, et al.. (2003). Multidimensional Proteome Analysis of Human Mammary Epithelial Cells. Journal of Proteome Research. 3(1). 68–75. 80 indexed citations
15.
Pétritis, Konstantinos, Lars J. Kangas, Patrick Ferguson, et al.. (2003). Use of Artificial Neural Networks for the Accurate Prediction of Peptide Liquid Chromatography Elution Times in Proteome Analyses. Analytical Chemistry. 75(5). 1039–1048. 253 indexed citations
16.
Adkins, Joshua, Susan M. Varnum, Kenneth J. Auberry, et al.. (2002). Toward a Human Blood Serum Proteome. Molecular & Cellular Proteomics. 1(12). 947–955. 655 indexed citations breakdown →
17.
Belov, Mikhail E., Е. Н. Николаев, Gordon Anderson, et al.. (2001). Electrospray ionization-Fourier transform ion cyclotron mass spectrometry using ion preselection and external accumulation for ultrahigh sensitivity. Journal of the American Society for Mass Spectrometry. 12(1). 38–48. 37 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Derek Smith Breakdown of academic impact, for papers by Eugene A. Kapp Breakdown of academic impact, for papers by Miloslav Šanda Breakdown of academic impact, for papers by Eberhard Dürr Breakdown of academic impact, for papers by Robert Wildgruber Breakdown of academic impact, for papers by Vinzenz Lange Breakdown of academic impact, for papers by Alessandra Luchini Breakdown of academic impact, for papers by Jean‐Charles Sanchez Breakdown of academic impact, for papers by Tony Houthaeve Breakdown of academic impact, for papers by J. M. R. Parker
Rankless by CCL
2026