Michelle Dunn

1.0k total citations · 1 hit paper
9 papers, 668 citations indexed

About

Michelle Dunn is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Michelle Dunn has authored 9 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Surgery and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Michelle Dunn's work include Genetics, Bioinformatics, and Biomedical Research (2 papers), School Choice and Performance (1 paper) and Artificial Intelligence in Healthcare (1 paper). Michelle Dunn is often cited by papers focused on Genetics, Bioinformatics, and Biomedical Research (2 papers), School Choice and Performance (1 paper) and Artificial Intelligence in Healthcare (1 paper). Michelle Dunn collaborates with scholars based in United States. Michelle Dunn's co-authors include M Miller, Eric J. Feuer, Emily C. Dowling, Chin Hur, Chung Yin Kong, Jennie Larkin, Eric D. Green, Mark S. Guyer, Ron Margolis and Michael F. Huerta and has published in prestigious journals such as Cancer, PLoS Biology and Journal of the American Medical Informatics Association.

In The Last Decade

Michelle Dunn

8 papers receiving 636 citations

Hit Papers

Trends in esophageal adenocarcinoma incidence and mortality 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michelle Dunn United States 6 330 244 133 80 69 9 668
Philipp Neuhaus Germany 11 179 0.5× 56 0.2× 122 0.9× 18 0.2× 43 0.6× 53 511
Jiabin Zheng China 13 126 0.4× 115 0.5× 100 0.8× 23 0.3× 125 1.8× 60 552
Jiye An China 11 55 0.2× 63 0.3× 54 0.4× 16 0.2× 106 1.5× 30 423
Jan Christoph Germany 11 22 0.1× 50 0.2× 114 0.9× 16 0.2× 44 0.6× 48 441
Shuoming Luo China 18 396 1.2× 15 0.1× 312 2.3× 14 0.2× 32 0.5× 59 1.1k
Roberto Gatta Italy 17 121 0.4× 187 0.8× 45 0.3× 6 0.1× 233 3.4× 83 942
Fabrizio Consorti Italy 16 230 0.7× 55 0.2× 238 1.8× 4 0.1× 180 2.6× 72 941
Qi Xu China 8 263 0.8× 166 0.7× 65 0.5× 52 0.7× 162 2.3× 58 648
Carlotta Masciocchi Italy 15 128 0.4× 154 0.6× 22 0.2× 13 0.2× 338 4.9× 47 869
Fiona R. Kolbinger Germany 16 133 0.4× 67 0.3× 277 2.1× 4 0.1× 216 3.1× 43 1.1k

Countries citing papers authored by Michelle Dunn

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle Dunn. 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 Michelle Dunn. The network helps show where Michelle Dunn may publish in the future.

Co-authorship network of co-authors of Michelle Dunn

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

All Works

9 of 9 papers shown
2.
Dunn, Michelle, et al.. (2022). Remote exposure to secondhand tobacco smoke is associated with lower exercise capacity through effects on oxygen pulse, a proxy of cardiac stroke volume. BMJ Open Respiratory Research. 9(1). e001217–e001217. 1 indexed citations
3.
Dunn, Michelle & Philip E. Bourne. (2017). Building the biomedical data science workforce. PLoS Biology. 15(7). e2003082–e2003082. 22 indexed citations
4.
Garmire, Lana X., S. Gliske, Quynh C. Nguyen, et al.. (2016). THE TRAINING OF NEXT GENERATION DATA SCIENTISTS IN BIOMEDICINE. PubMed. 22. 640–645. 8 indexed citations
5.
Bourne, Philip E., Vivien Bonazzi, Michelle Dunn, et al.. (2015). The NIH Big Data to Knowledge (BD2K) initiative. Journal of the American Medical Informatics Association. 22(6). 1114–1114. 41 indexed citations
6.
Rosemond, Erica, et al.. (2015). Calling All Statisticians for the Next Wave of Biomedical Big Data Discoveries. CHANCE. 28(2). 19–22. 1 indexed citations
7.
Margolis, Ron, Leslie Derr, Michelle Dunn, et al.. (2014). The National Institutes of Health's Big Data to Knowledge (BD2K) initiative: capitalizing on biomedical big data. Journal of the American Medical Informatics Association. 21(6). 957–958. 184 indexed citations
8.
Hur, Chin, M Miller, Chung Yin Kong, et al.. (2012). Trends in esophageal adenocarcinoma incidence and mortality. Cancer. 119(6). 1149–1158. 376 indexed citations breakdown →
9.
Dunn, Michelle, et al.. (2003). Comparing Harm Done by Mobility and Class Absence: Missing Students and Missing Data. Journal of Educational and Behavioral Statistics. 28(3). 269–288. 34 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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