Jeffrey R. Miller
- Molecular Biology top 1%
- Wnt/β-catenin signaling in development and cancer 21
- Developmental Biology and Gene Regulation 18
- Cancer-related gene regulation 14
- Congenital heart defects research 3
- Cell Biology top 1%
- Cellular Mechanics and Interactions 4
- Hippo pathway signaling and YAP/TAZ 4
- Aging top 5%
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- Axon Guidance and Neuronal Signaling 5
- Aquatic Science top 5%
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- Influenza Virus Research Studies 2
- Co-authors
- Randall T. MoonJeffrey D. BrownLaird C. SheldahlDavid R. McClayMichael KühlAnne M. HockingMaiyon ParkJulia Yang-Snyder
- Cited by
- Molecular BiologyCell BiologyAging
- Partner nations
- United StatesGermanySouth Africa
In The Last Decade
Jeffrey R. Miller
39 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Molecular Biology 4.6k
- Cell Biology 883
- Aging 65
- Cellular and Molecular Neuroscience 401
- Aquatic Science 155
Countries citing papers authored by Jeffrey R. Miller
This map shows the geographic impact of Jeffrey R. 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 Jeffrey R. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey R. Miller more than expected).
Fields of papers citing papers by Jeffrey R. Miller
This network shows the impact of papers produced by Jeffrey R. 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 Jeffrey R. Miller. The network helps show where Jeffrey R. Miller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeffrey R. 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 | 2018 | 0 | |
| 2 | 2018 | 0 | |
| 3 | 2016 | 29 | |
| 4 | 2013 | 10 | |
| 5 | 2012 | 44 | |
| 6 | 2012 | 12 | |
| 7 | 2007 | 22 | |
| 8 | 2005 | 91 | |
| 9 | 2005 | 45 | |
| 10 | 2005 | 42 | |
| 11 | 2005 | 5 | |
| 12 | 2004 | 8 | |
| 13 | 2002 | 217 | |
| 14 | 2000 | 17 | |
| 15 | The Wnt/Ca2+ pathwaybreakdown → | 2000 | 719 |
| 16 | Mechanism and function of signal transduction by the Wnt/β-catenin and Wnt/Ca2+ pathwaysbreakdown → | 1999 | 598 |
| 17 | Differential recruitment of Dishevelled provides signaling specificity in the planar cell polarity and Wingless signaling pathwaysbreakdown → | 1998 | 554 |
| 18 | 1997 | 129 | |
| 19 | 1997 | 106 | |
| 20 | 1996 | 392 |
About Jeffrey R. Miller
Jeffrey R. Miller is a scholar working on Cell Biology, Molecular Biology and Molecular Medicine, having authored 41 papers that have together received 5.4k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (21 papers), Developmental Biology and Gene Regulation (18 papers), Cancer-related gene regulation (14 papers), Axon Guidance and Neuronal Signaling (5 papers), Cellular Mechanics and Interactions (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Congenital heart defects research (3 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Molecular Biology (4.6k citations), Cell Biology (883 citations) and Aging (65 citations). Jeffrey R. Miller has collaborated with scholars based in United States, Germany and South Africa. Frequent co-authors include Randall T. Moon, Jeffrey D. Brown, Laird C. Sheldahl, David R. McClay, Michael Kühl, Anne M. Hocking, Maiyon Park, Julia Yang-Snyder, Joshua Shulman and Jeffrey D. Axelrod. Their work appears in journals such as Science, Cell and Genes & Development.
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.