Michael DeRan
Impact in
- Cell Biology top 1%
- Hippo pathway signaling and YAP/TAZ
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
Papers in ⓘ
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- Hippo pathway signaling and YAP/TAZ 6
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- Lipid metabolism and biosynthesis 2
- Co-authors
- Xu Wu (9 shared papers)Baohui Zheng (3 shared papers)PuiYee Chan (3 shared papers)Jiayi Yang (2 shared papers)Jun Liu (2 shared papers)Eric C. Peters (2 shared papers)Gopala K. Jarugumilli (3 shared papers)Xuelian Luo (2 shared papers)
- Journals
- Nature Chemical Biology (3 papers)Cell Reports (2 papers)Journal of the American Chemical Society (1 paper)Cell stem cell (1 paper)Science Advances (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Michael DeRan
13 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Cell Biology 800
- Molecular Biology 899
- Biochemistry 90
- Cancer Research 150
- Immunology 166
Countries citing papers authored by Michael DeRan
This map shows the geographic impact of Michael DeRan'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 DeRan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael DeRan more than expected).
Fields of papers citing papers by Michael DeRan
This network shows the impact of papers produced by Michael DeRan. 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 DeRan. The network helps show where Michael DeRan may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael DeRan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 251 | |
| 2 | 2016 | 222 | |
| 3 | 2012 | 216 | |
| 4 | Global characterization of macrophage polarization mechanisms and identification of M2-type polarization inhibitors Hit paper breakdown → | 2021 | 207 |
| 5 | 2012 | 122 | |
| 6 | 2020 | 120 | |
| 7 | 2014 | 106 | |
| 8 | 2016 | 87 | |
| 9 | 2013 | 82 | |
| 10 | 2007 | 48 | |
| 11 | 2021 | 44 | |
| 12 | 2022 | 17 | |
| 13 | 2011 | 3 |
About Michael DeRan
Michael DeRan is a scholar working on Cell Biology, Biochemistry, Molecular Biology, Paleontology and Cancer Research, having authored 13 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (6 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Lipid metabolism and biosynthesis (2 papers), Peptidase Inhibition and Analysis (1 paper), Kruppel-like factors research (1 paper), Plant Surface Properties and Treatments (1 paper), Histone Deacetylase Inhibitors Research (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Cell Biology (800 citations), Molecular Biology (899 citations), Biochemistry (90 citations), Cancer Research (150 citations) and Immunology (166 citations). Michael DeRan has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Xu Wu, Baohui Zheng, PuiYee Chan, Jiayi Yang, Jun Liu, Eric C. Peters, Gopala K. Jarugumilli, Xuelian Luo, Ghislain M. C. Bonamy and Eric J Miller. Their work appears in journals such as Nature Chemical Biology, Cell Reports, Journal of the American Chemical Society, Cell stem cell and Science Advances.
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.