Chad J. Miller
Impact in
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- Bioinformatics and Genomic Networks
Papers in
-
- Glycosylation and Glycoproteins Research 2
- Protein Kinase Regulation and GTPase Signaling 2
- Bioinformatics and Genomic Networks 2
-
- Microtubule and mitosis dynamics 4
- Co-authors
- Benjamin E. Turk (14 shared papers)Hua Jane Lou (8 shared papers)Gerson H. Sparer (1 shared paper)Eugene F. Douglass (1 shared paper)David A. Spiegel (1 shared paper)Harold N. Shapiro (1 shared paper)Douglas J. Sheffler (1 shared paper)Chih-Cheng Yang (1 shared paper)
- Journals
- Cell (2 papers)eLife (2 papers)Journal of Pharmaceutical Sciences (1 paper)Journal of the American Chemical Society (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesDenmarkItaly
In The Last Decade
Chad J. Miller
18 papers receiving 1.4k citations
Chad J. Miller's Hit Papers
Peers
Comparison fields: 5 of 90
- Physiology 111
- Molecular Biology 1.0k
- Cell Biology 239
- Epidemiology 462
- Oncology 243
Countries citing papers authored by Chad J. Miller
This map shows the geographic impact of Chad J. Miller'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 Chad J. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad J. Miller more than expected).
Fields of papers citing papers by Chad J. Miller
This network shows the impact of papers produced by Chad J. Miller. 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 Chad J. Miller. The network helps show where Chad J. Miller may publish in the future.
Co-authors
The 25 scholars most cited alongside Chad J. Miller, 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 | Small Molecule Inhibition of the Autophagy Kinase ULK1 and Identification of ULK1 Substrates Hit paper breakdown → | 2015 | 559 |
| 2 | 2013 | 310 | |
| 3 | 2018 | 130 | |
| 4 | 2015 | 121 | |
| 5 | 2015 | 56 | |
| 6 | 2021 | 46 | |
| 7 | 2014 | 43 | |
| 8 | 2021 | 38 | |
| 9 | 2019 | 35 | |
| 10 | 2019 | 34 | |
| 11 | 2015 | 24 | |
| 12 | 2017 | 17 | |
| 13 | 2012 | 14 | |
| 14 | 2018 | 14 | |
| 15 | 2021 | 10 | |
| 16 | 2016 | 10 | |
| 17 | 2017 | 7 | |
| 18 | 2022 | 1 |
About Chad J. Miller
Chad J. Miller is a scholar working on Molecular Biology, Cell Biology, Oncology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (4 papers), Cancer Mechanisms and Therapy (3 papers), Peptidase Inhibition and Analysis (3 papers), Bacterial Genetics and Biotechnology (2 papers), Glycosylation and Glycoproteins Research (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Bioinformatics and Genomic Networks (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Physiology (111 citations), Molecular Biology (1.0k citations), Cell Biology (239 citations), Epidemiology (462 citations) and Oncology (243 citations). Chad J. Miller has collaborated with scholars based in United States, Denmark and Italy. Frequent co-authors include Benjamin E. Turk, Hua Jane Lou, Gerson H. Sparer, Eugene F. Douglass, David A. Spiegel, Harold N. Shapiro, Douglas J. Sheffler, Chih-Cheng Yang, Mitchell Vamos and Haixia Zou. Their work appears in journals such as Cell, eLife, Journal of Pharmaceutical Sciences, Journal of the American Chemical Society and Cell Reports.
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.