Michael Stevens

8.1k total citations
10 papers, 542 citations indexed

About

Michael Stevens is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Michael Stevens has authored 10 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Michael Stevens's work include Epigenetics and DNA Methylation (4 papers), RNA modifications and cancer (3 papers) and Cancer-related gene regulation (3 papers). Michael Stevens is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), RNA modifications and cancer (3 papers) and Cancer-related gene regulation (3 papers). Michael Stevens collaborates with scholars based in United States, Canada and United Kingdom. Michael Stevens's co-authors include Ting Wang, Daofeng Li, Cheryl K.H. Johnson, Païvi Peltomäki, Robert B. Chadwick, Theodore H. Niemann, Bo Yuan, Shi Huang, Albert de la Chapelle and J Costello and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Michael Stevens

10 papers receiving 535 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 Stevens United States 10 443 76 67 61 38 10 542
Elisenda Vendrell Spain 6 387 0.9× 72 0.9× 91 1.4× 72 1.2× 60 1.6× 8 475
Wenbing Xie China 13 636 1.4× 70 0.9× 109 1.6× 94 1.5× 32 0.8× 19 739
Kubilay Demir Germany 7 322 0.7× 91 1.2× 51 0.8× 76 1.2× 42 1.1× 9 419
David G. Overdier United States 7 670 1.5× 152 2.0× 68 1.0× 62 1.0× 43 1.1× 8 746
E Emison United States 3 400 0.9× 172 2.3× 76 1.1× 104 1.7× 33 0.9× 5 681
María F. Ogara Argentina 9 249 0.6× 60 0.8× 59 0.9× 145 2.4× 22 0.6× 11 395
Nicholas Stong United States 11 330 0.7× 95 1.3× 34 0.5× 53 0.9× 17 0.4× 28 471
Kazuhiro Morishita Japan 7 434 1.0× 64 0.8× 141 2.1× 58 1.0× 47 1.2× 9 519
Zunde Wang United States 6 616 1.4× 84 1.1× 162 2.4× 62 1.0× 17 0.4× 6 725
K. Tago Japan 9 422 1.0× 63 0.8× 36 0.5× 58 1.0× 38 1.0× 16 559

Countries citing papers authored by Michael Stevens

Since Specialization
Citations

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

Fields of papers citing papers by Michael Stevens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Stevens

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

All Works

10 of 10 papers shown
1.
Gu, Junchen, Michael Stevens, Xiaoyun Xing, et al.. (2016). Mapping of Variable DNA Methylation Across Multiple Cell Types Defines a Dynamic Regulatory Landscape of the Human Genome. G3 Genes Genomes Genetics. 6(4). 973–986. 31 indexed citations
2.
Lee, Hyung Joo, Rebecca F. Lowdon, Brett Maricque, et al.. (2015). Developmental enhancers revealed by extensive DNA methylome maps of zebrafish early embryos. Nature Communications. 6(1). 6315–6315. 68 indexed citations
3.
Hass, Matthew R., Xiaoting Chen, Ankur Sharma, et al.. (2015). SpDamID: Marking DNA Bound by Protein Complexes Identifies Notch-Dimer Responsive Enhancers. Molecular Cell. 59(4). 685–697. 46 indexed citations
4.
Roy, Saurabh G., Michael Stevens, Lomon So, & Aimee L. Edinger. (2013). Reciprocal effects ofrab7deletion in activated and neglected T cells. Autophagy. 9(7). 1009–1023. 31 indexed citations
5.
Stevens, Michael, Jeffrey B. Cheng, Daofeng Li, et al.. (2013). Estimating absolute methylation levels at single-CpG resolution from methylation enrichment and restriction enzyme sequencing methods. Genome Research. 23(9). 1541–1553. 116 indexed citations
7.
Soler, Éric, Charlotte Andrieu‐Soler, Elke de Boer, et al.. (2010). The genome-wide dynamics of the binding of Ldb1 complexes during erythroid differentiation (Genes & Development (2010) 24, (277-289)). Genes & Development. 24. 623. 25 indexed citations
8.
Siepel, Adam, Mark Diekhans, Broňa Brejová, et al.. (2007). Targeted discovery of novel human exons by comparative genomics. Genome Research. 17(12). 1763–1773. 33 indexed citations
9.
Biswas, Arunava, Michael Stevens, & Gary L. Kinzel. (2004). A comparison of approximate methods for the analytical determination of profiles for disk cams with roller followers. Mechanism and Machine Theory. 39(6). 645–656. 10 indexed citations
10.
Chadwick, Robert B., Bo Yuan, Cheryl K.H. Johnson, et al.. (2000). Candidate tumor suppressor RIZ is frequently involved in colorectal carcinogenesis. Proceedings of the National Academy of Sciences. 97(6). 2662–2667. 140 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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