Joanne E. Baxter
Impact in
- Cell Biology top 2%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
-
- Ubiquitin and proteasome pathways
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- Photosynthetic Processes and Mechanisms
- 14-3-3 protein interactions
Papers in
-
- Ubiquitin and proteasome pathways 3
- Genomics and Chromatin Dynamics 2
- Wnt/β-catenin signaling in development and cancer 1
- Cell Biology 10
- Microtubule and mitosis dynamics 10
- Hippo pathway signaling and YAP/TAZ 1
- Co-authors
- Andrew M. Fry (11 shared papers)Tara Hardy (3 shared papers)Yuu Kimata (1 shared paper)Hiroyuki Yamano (1 shared paper)Sebastian Scholz (1 shared paper)Balca R. Mardin (1 shared paper)Suzanna L. Prosser (2 shared papers)Richard Bayliss (2 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Journal of Cell Science (2 papers)Nature Cell Biology (1 paper)Journal of Molecular Biology (1 paper)Developmental Cell (1 paper)
- Partner nations
- United KingdomGermanySouth Korea
In The Last Decade
Joanne E. Baxter
11 papers receiving 684 citations
Peers
Comparison fields: 5 of 55
- Cell Biology 523
- Molecular Biology 591
- Oncology 157
- Pharmaceutical Science 12
- Cancer Research 26
Countries citing papers authored by Joanne E. Baxter
This map shows the geographic impact of Joanne E. Baxter'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 Joanne E. Baxter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joanne E. Baxter more than expected).
Fields of papers citing papers by Joanne E. Baxter
This network shows the impact of papers produced by Joanne E. Baxter. 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 Joanne E. Baxter. The network helps show where Joanne E. Baxter may publish in the future.
Co-authors
The 25 scholars most cited alongside Joanne E. Baxter, 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 | 2010 | 147 | |
| 2 | 2008 | 113 | |
| 3 | 2006 | 89 | |
| 4 | 2005 | 72 | |
| 5 | 2007 | 56 | |
| 6 | 2012 | 56 | |
| 7 | 2014 | 48 | |
| 8 | 2008 | 46 | |
| 9 | 2012 | 38 | |
| 10 | 2003 | 19 | |
| 11 | 2006 | 3 |
About Joanne E. Baxter
Joanne E. Baxter is a scholar working on Molecular Biology, Cell Biology, Oncology, Genetics and Public Health, Environmental and Occupational Health, having authored 11 papers that have together received 687 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (10 papers), Ubiquitin and proteasome pathways (3 papers), Cancer-related Molecular Pathways (2 papers), Genomics and Chromatin Dynamics (2 papers), Magnetism in coordination complexes (1 paper), Advanced Materials and Mechanics (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Cell Biology (523 citations), Molecular Biology (591 citations), Oncology (157 citations), Pharmaceutical Science (12 citations) and Cancer Research (26 citations). Joanne E. Baxter has collaborated with scholars based in United Kingdom, Germany and South Korea. Frequent co-authors include Andrew M. Fry, Tara Hardy, Yuu Kimata, Hiroyuki Yamano, Sebastian Scholz, Balca R. Mardin, Suzanna L. Prosser, Richard Bayliss, Patrick Meraldi and Erich A. Nigg. Their work appears in journals such as Journal of Biological Chemistry, Journal of Cell Science, Nature Cell Biology, Journal of Molecular Biology and Developmental Cell.
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.