Michael D. Kessler

7.7k total citations
18 papers, 520 citations indexed

About

Michael D. Kessler is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Michael D. Kessler has authored 18 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Oncology. Recurrent topics in Michael D. Kessler's work include Genetic diversity and population structure (4 papers), interferon and immune responses (2 papers) and Single-cell and spatial transcriptomics (2 papers). Michael D. Kessler is often cited by papers focused on Genetic diversity and population structure (4 papers), interferon and immune responses (2 papers) and Single-cell and spatial transcriptomics (2 papers). Michael D. Kessler collaborates with scholars based in United States, Russia and China. Michael D. Kessler's co-authors include Andrew D. Smith, Qiang Song, Tyler H. Garvin, Jianghan Qu, Meng Zhou, Jun Zhou, Fang Fang, Benjamin E. Decato, Matthew D. Dean and Timothy D. O’Connor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Michael D. Kessler

15 papers receiving 515 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael D. Kessler United States 9 317 201 57 54 44 18 520
Vincenza Colonna Italy 18 249 0.8× 311 1.5× 59 1.0× 32 0.6× 44 1.0× 40 678
D. Jo Merriner Australia 20 359 1.1× 298 1.5× 73 1.3× 36 0.7× 40 0.9× 38 828
Silvia Gravina United States 11 438 1.4× 137 0.7× 104 1.8× 75 1.4× 28 0.6× 14 601
Svetlana Zhenilo Russia 10 450 1.4× 142 0.7× 49 0.9× 24 0.4× 32 0.7× 30 542
Chin Thing Ong Singapore 5 755 2.4× 206 1.0× 78 1.4× 36 0.7× 48 1.1× 8 841
D. Haussler United States 3 465 1.5× 177 0.9× 116 2.0× 23 0.4× 78 1.8× 3 655
H. Xiao United States 12 364 1.1× 286 1.4× 51 0.9× 60 1.1× 25 0.6× 25 619
П. М. Пономаренко Russia 16 324 1.0× 198 1.0× 55 1.0× 29 0.5× 58 1.3× 49 541
Glenn A. Maston United States 5 689 2.2× 177 0.9× 69 1.2× 40 0.7× 90 2.0× 5 892
Tangliang Li China 14 488 1.5× 168 0.8× 58 1.0× 101 1.9× 110 2.5× 28 696

Countries citing papers authored by Michael D. Kessler

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Kessler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael D. Kessler

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

All Works

18 of 18 papers shown
1.
2.
Kessler, Michael D., Ilya E. Vorontsov, Rossin Erbe, et al.. (2025). Epigenetic profiling reveals key super-enhancer networks driving oncogenesis in HPV-positive HNSCC. iScience. 28(11). 113911–113911.
3.
Kessler, Michael D., Xiaoshan M. Shao, Archana Balan, et al.. (2024). SpliceMutr Enables Pan-Cancer Analysis of Splicing-Derived Neoantigen Burden in Tumors. Cancer Research Communications. 4(12). 3137–3150. 2 indexed citations
4.
Sun, Jiangming, et al.. (2023). Red cell distribution width and its polygenic score in relation to mortality and cardiometabolic outcomes. Frontiers in Cardiovascular Medicine. 10. 1294218–1294218.
5.
Topper, Michael J., et al.. (2022). Abstract 6301: DNA methyltransferase inhibitors increase ERV reactivation and STING-dependent interferon/inflammasome signaling in TP53 mutant AML. Cancer Research. 82(12_Supplement). 6301–6301. 1 indexed citations
6.
Topper, Michael J., Tami J. Kingsbury, Maria R. Baer, et al.. (2022). Activating STING1-dependent immune signaling inTP53mutant and wild-type acute myeloid leukemia. Proceedings of the National Academy of Sciences. 119(27). e2123227119–e2123227119. 13 indexed citations
7.
Davis-Marcisak, Emily F., Allison A. Fitzgerald, Michael D. Kessler, et al.. (2021). Transfer learning between preclinical models and human tumors identifies a conserved NK cell activation signature in anti-CTLA-4 responsive tumors. Genome Medicine. 13(1). 129–129. 15 indexed citations
8.
Erbe, Rossin, Michael D. Kessler, Alexander V. Favorov, et al.. (2020). Matrix factorization and transfer learning uncover regulatory biology across multiple single-cell ATAC-seq data sets. Nucleic Acids Research. 48(12). e68–e68. 5 indexed citations
9.
Harris, Daniel, Michael D. Kessler, Amol C. Shetty, et al.. (2020). Evolutionary history of modern Samoans. Proceedings of the National Academy of Sciences. 117(17). 9458–9465. 14 indexed citations
10.
Kessler, Michael D., Nicholas W. Bateman, Thomas P. Conrads, et al.. (2019). Ancestral characterization of 1018 cancer cell lines highlights disparities and reveals gene expression and mutational differences. Cancer. 125(12). 2076–2088. 14 indexed citations
11.
Harris, Daniel, Wei Song, Amol C. Shetty, et al.. (2018). Evolutionary genomic dynamics of Peruvians before, during, and after the Inca Empire. Proceedings of the National Academy of Sciences. 115(28). E6526–E6535. 85 indexed citations
12.
Kessler, Michael D., Nisha R. Pawar, Stuart S. Martin, Toni Antalis, & Timothy D. O’Connor. (2018). Improving Cancer Detection and Treatment with Liquid Biopsies and ptDNA. Trends in cancer. 4(9). 643–654. 5 indexed citations
13.
Larson, Erica L., Dan Vanderpool, Brice A. J. Sarver, et al.. (2018). The Evolution of Polymorphic Hybrid Incompatibilities in House Mice. Genetics. 209(3). 845–859. 37 indexed citations
14.
Griffith, Kathleen A., Shijun Zhu, Meg Johantgen, et al.. (2017). Oxaliplatin-Induced Peripheral Neuropathy and Identification of Unique Severity Groups in Colorectal Cancer. Journal of Pain and Symptom Management. 54(5). 701–706.e1. 38 indexed citations
15.
16.
Kessler, Michael D. & Matthew D. Dean. (2014). Effective population size does not predict codon usage bias in mammals. Ecology and Evolution. 4(20). 3887–3900. 15 indexed citations
17.
Song, Qiang, Benjamin E. Decato, Meng Zhou, et al.. (2013). A Reference Methylome Database and Analysis Pipeline to Facilitate Integrative and Comparative Epigenomics. PLoS ONE. 8(12). e81148–e81148. 272 indexed citations
18.
Kessler, Michael D., et al.. (2013). Imaging EGFR phosphorylation in intact human pancreatic carcinoma cells.. PubMed. 26(4). 619–25. 2 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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