Michael K. Coleman

2.1k total citations · 1 hit paper
8 papers, 1.6k citations indexed

About

Michael K. Coleman is a scholar working on Molecular Biology, Social Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael K. Coleman has authored 8 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Social Psychology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael K. Coleman's work include Genomics and Chromatin Dynamics (3 papers), Consumer Market Behavior and Pricing (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Michael K. Coleman is often cited by papers focused on Genomics and Chromatin Dynamics (3 papers), Consumer Market Behavior and Pricing (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Michael K. Coleman collaborates with scholars based in United States. Michael K. Coleman's co-authors include Laurence Florens, Michael P. Washburn, Boris Zybailov, Amber L. Mosley, Mihaela E. Sardiu, Arcady Mushegian, David M. Kristensen, D. Stott Parker, Yuri I. Wolf and Lavanya Kannan and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and PLoS ONE.

In The Last Decade

Michael K. Coleman

8 papers receiving 1.6k citations

Hit Papers

Statistical Analysis of Membrane Proteome Expression Chan... 2006 2026 2012 2019 2006 250 500 750
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. Statistical Analysis of Membrane Proteome Expression Changes in Saccharomyces cerevisiae
    2006 873 citations Boris Zybailov, Amber L. Mosley et al. Journal of Proteome Research profile →

Peers

Michael K. Coleman
Edward C. Uberbacher United States
Takashi Ishida Japan
Miguel Reboiro‐Jato Spain
Mingze Bai China
Marc Kirchner United States
Michael Riffle United States
Brigitte Boeckmann Switzerland
Marcin J. Mizianty Canada
Harald Barsnes Norway
Victor Olman United States
Edward C. Uberbacher United States
Michael K. Coleman
Citations per year, relative to Michael K. Coleman Michael K. Coleman (= 1×) peers Edward C. Uberbacher

Countries citing papers authored by Michael K. Coleman

Since Specialization
Citations

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

Fields of papers citing papers by Michael K. Coleman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael K. Coleman. 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 Michael K. Coleman. The network helps show where Michael K. Coleman may publish in the future.

Co-authorship network of co-authors of Michael K. Coleman

This figure shows the co-authorship network connecting the top 25 collaborators of Michael K. Coleman. A scholar is included among the top collaborators of Michael K. Coleman 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 Michael K. Coleman. Michael K. Coleman 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.
Kristensen, David M., Lavanya Kannan, Michael K. Coleman, et al.. (2010). A low-polynomial algorithm for assembling clusters of orthologous groups from intergenomic symmetric best matches. Bioinformatics. 26(12). 1481–1487. 171 indexed citations
2.
Li, Hua, David M. Kristensen, Michael K. Coleman, & Arcady Mushegian. (2009). Detection of Biochemical Pathways by Probabilistic Matching of Phyletic Vectors. PLoS ONE. 4(4). e5326–e5326. 7 indexed citations
3.
Glazko, Galina, Michael K. Coleman, & Arcady Mushegian. (2006). Similarity searches in genome-wide numerical data sets. Biology Direct. 1(1). 13–13. 3 indexed citations
4.
Zybailov, Boris, Amber L. Mosley, Mihaela E. Sardiu, et al.. (2006). Statistical Analysis of Membrane Proteome Expression Changes in Saccharomyces cerevisiae. Journal of Proteome Research. 5(9). 2339–2347. 873 indexed citations breakdown →
5.
Jin, Jingji, Yong Cai, Tingting Yao, et al.. (2005). A Mammalian Chromatin Remodeling Complex with Similarities to the Yeast INO80 Complex. Journal of Biological Chemistry. 280(50). 41207–41212. 195 indexed citations
6.
Zybailov, Boris, Michael K. Coleman, Laurence Florens, & Michael P. Washburn. (2005). Correlation of Relative Abundance Ratios Derived from Peptide Ion Chromatograms and Spectrum Counting for Quantitative Proteomic Analysis Using Stable Isotope Labeling. Analytical Chemistry. 77(19). 6218–6224. 305 indexed citations
7.
Coleman, Michael K. & D. Stott Parker. (1996). Aesthetics-based Graph Layout for Human Consumption. Software Practice and Experience. 26(12). 1415–1438. 37 indexed citations
8.
Coleman, Michael K. & D. Stott Parker. (1996). Aesthetics‐based Graph Layout for Human Consumption. Software Practice and Experience. 26(12). 1415–1438. 52 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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