Michael C. Rosenstein

1.5k total citations · 1 hit paper
12 papers, 1.1k citations indexed

About

Michael C. Rosenstein is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Michael C. Rosenstein has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 2 papers in Genetics. Recurrent topics in Michael C. Rosenstein's work include Bioinformatics and Genomic Networks (10 papers), Gene expression and cancer classification (7 papers) and Computational Drug Discovery Methods (5 papers). Michael C. Rosenstein is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Gene expression and cancer classification (7 papers) and Computational Drug Discovery Methods (5 papers). Michael C. Rosenstein collaborates with scholars based in United States. Michael C. Rosenstein's co-authors include Carolyn Mattingly, Allan Peter Davis, Thomas C. Wiegers, Cynthia Saraceni-Richards, Cynthia G. Murphy, Benjamin L. King, Christian Murphy, Kelley Lennon-Hopkins, Daniela Sciaky and Robin J. Johnson and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Toxicological Sciences.

In The Last Decade

Michael C. Rosenstein

12 papers receiving 1.1k citations

Hit Papers

The Comparative Toxicogenomics Database: update 2013 2012 2026 2016 2021 2012 100 200 300
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. The Comparative Toxicogenomics Database: update 2013
    2012 389 citations Allan Peter Davis, Cynthia G. Murphy et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael C. Rosenstein United States 10 816 391 131 131 82 12 1.1k
Cynthia Saraceni-Richards United States 10 946 1.2× 470 1.2× 130 1.0× 111 0.8× 129 1.6× 11 1.3k
Kelley Lennon-Hopkins United States 8 683 0.8× 339 0.9× 72 0.5× 102 0.8× 58 0.7× 9 894
Jean M. Lay United States 8 443 0.5× 227 0.6× 37 0.3× 60 0.5× 45 0.5× 10 630
Noriyuki Nakatsu Japan 15 660 0.8× 227 0.6× 53 0.4× 23 0.2× 44 0.5× 27 1.0k
Tongan Zhao United States 9 337 0.4× 375 1.0× 51 0.4× 26 0.2× 35 0.4× 12 730
Syril Pettit United States 22 820 1.0× 210 0.5× 141 1.1× 9 0.1× 45 0.5× 47 1.7k
Emile F. Nuwaysir United States 13 777 1.0× 105 0.3× 131 1.0× 9 0.1× 148 1.8× 14 1.2k
Jeffrey A. Kramer United States 19 570 0.7× 167 0.4× 29 0.2× 10 0.1× 191 2.3× 38 1.1k
Craig Rowlands United States 10 123 0.2× 146 0.4× 257 2.0× 16 0.1× 80 1.0× 10 571
Rebecca Kusko United States 14 457 0.6× 152 0.4× 27 0.2× 14 0.1× 61 0.7× 30 887

Countries citing papers authored by Michael C. Rosenstein

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Rosenstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael C. Rosenstein

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

All Works

12 of 12 papers shown
1.
King, Benjamin L., et al.. (2018). RegenDbase: a comparative database of noncoding RNA regulation of tissue regeneration circuits across multiple taxa. npj Regenerative Medicine. 3(1). 10–10. 15 indexed citations
2.
King, Benjamin L., Allan Peter Davis, Michael C. Rosenstein, Thomas C. Wiegers, & Carolyn Mattingly. (2012). Ranking Transitive Chemical-Disease Inferences Using Local Network Topology in the Comparative Toxicogenomics Database. PLoS ONE. 7(11). e46524–e46524. 42 indexed citations
3.
Davis, Allan Peter, Cynthia G. Murphy, Robin J. Johnson, et al.. (2012). The Comparative Toxicogenomics Database: update 2013. Nucleic Acids Research. 41(D1). D1104–D1114. 389 indexed citations breakdown →
4.
Davis, Allan Peter, Thomas C. Wiegers, Michael C. Rosenstein, & Carolyn Mattingly. (2012). MEDIC: a practical disease vocabulary used at the Comparative Toxicogenomics Database. Database. 2012(0). bar065–bar065. 133 indexed citations
5.
Davis, Allan Peter, Robin J. Johnson, Kelley Lennon-Hopkins, et al.. (2012). Targeted journal curation as a method to improve data currency at the Comparative Toxicogenomics Database. Database. 2012. bas051–bas051. 12 indexed citations
6.
Davis, Allan Peter, Michael C. Rosenstein, Thomas C. Wiegers, & Carolyn Mattingly. (2011). DiseaseComps: a metric that discovers similar diseases based upon common toxicogenomic profiles at CTD. Bioinformation. 7(4). 154–156. 8 indexed citations
7.
Davis, Allan Peter, Cynthia G. Murphy, Cynthia Saraceni-Richards, et al.. (2009). GeneComps and ChemComps: a new CTD metric to identify genes and chemicals with shared toxicogenomic profiles. Bioinformation. 4(4). 173–174. 8 indexed citations
8.
Gohlke, Julia M., Reuben Thomas, Michael C. Rosenstein, et al.. (2009). Genetic and environmental pathways to complex diseases. BMC Systems Biology. 3(1). 46–46. 56 indexed citations
9.
Davis, Allan Peter, Cynthia G. Murphy, Michael C. Rosenstein, Thomas C. Wiegers, & Carolyn Mattingly. (2008). The Comparative Toxicogenomics Database facilitates identification and understanding of chemical-gene-disease associations: arsenic as a case study. BMC Medical Genomics. 1(1). 48–48. 68 indexed citations
10.
Davis, Allan Peter, Christian Murphy, Cynthia Saraceni-Richards, et al.. (2008). Comparative Toxicogenomics Database: a knowledgebase and discovery tool for chemical-gene-disease networks. Nucleic Acids Research. 37(Database). D786–D792. 239 indexed citations
11.
Mattingly, Carolyn, Michael C. Rosenstein, Allan Peter Davis, et al.. (2006). The Comparative Toxicogenomics Database: A Cross-Species Resource for Building Chemical-Gene Interaction Networks. Toxicological Sciences. 92(2). 587–595. 96 indexed citations
12.
Mattingly, Carolyn, Glenn T. Colby, Michael C. Rosenstein, J. N. Forrest, & James L. Boyer. (2004). Promoting comparative molecular studies in environmental health research: an overview of the comparative toxicogenomics database (CTD). The Pharmacogenomics Journal. 4(1). 5–8. 29 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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