Brian Gabrielli
Impact in
- Cell Biology top 0.5%
- Microtubule and mitosis dynamics
- Oncology top 1%
- Cancer-related Molecular Pathways
Papers in
- Cell Biology 55
- Microtubule and mitosis dynamics 42
- Oncology 62
- Cancer-related Molecular Pathways 37
- Co-authors
- Sandra PaveyK.A.O. EllemAlistair R. R. ForrestAndrew BurgessHeather BeamishPeter G. ParsonsNichole GilesColin P. C. De Souza
- Journals
- Journal of Biological Chemistry (14 papers)Oncogene (12 papers)Journal of Investigative Dermatology (7 papers)Pigment Cell & Melanoma Research (6 papers)Cell Cycle (5 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Brian Gabrielli
128 papers receiving 5.9k citations
Peers
Comparison fields: 5 of 125
- Cell Biology 1.6k
- Oncology 2.1k
- Molecular Biology 4.6k
- Cancer Research 887
- Aging 59
Countries citing papers authored by Brian Gabrielli
This map shows the geographic impact of Brian Gabrielli'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 Brian Gabrielli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Gabrielli more than expected).
Fields of papers citing papers by Brian Gabrielli
This network shows the impact of papers produced by Brian Gabrielli. 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 Brian Gabrielli. The network helps show where Brian Gabrielli may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Gabrielli, 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 | 2024 | 4 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2021 | 13 | |
| 6 | 2021 | 12 | |
| 7 | 2019 | 5 | |
| 8 | 2018 | 13 | |
| 9 | 2018 | 17 | |
| 10 | 2017 | 18 | |
| 11 | 2017 | 15 | |
| 12 | 2017 | 13 | |
| 13 | 2016 | 19 | |
| 14 | 2016 | 48 | |
| 15 | 2015 | 35 | |
| 16 | 2013 | 23 | |
| 17 | 2010 | 9 | |
| 18 | 2009 | 17 | |
| 19 | 2006 | 41 | |
| 20 | Spontaneous and UVR-induced multiple metastatic melanomas in Cdk4R24C/R24C/TPras mice | 2006 | 1 |
About Brian Gabrielli
Brian Gabrielli is a scholar working on Cell Biology, Oncology, Molecular Biology, Immunology and Cancer Research, having authored 129 papers that have together received 6.0k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (42 papers), Cancer-related Molecular Pathways (37 papers), DNA Repair Mechanisms (20 papers), Histone Deacetylase Inhibitors Research (17 papers), Epigenetics and DNA Methylation (16 papers), Ubiquitin and proteasome pathways (15 papers), Melanoma and MAPK Pathways (14 papers) and Protein Degradation and Inhibitors (11 papers). The work is most often cited by research in Cell Biology (1.6k citations), Oncology (2.1k citations), Molecular Biology (4.6k citations), Cancer Research (887 citations) and Aging (59 citations). Brian Gabrielli has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Sandra Pavey, K.A.O. Ellem, Alistair R. R. Forrest, Andrew Burgess, Heather Beamish, Peter G. Parsons, Nichole Giles, Colin P. C. De Souza, Robyn Warrener and Helen Piwnica‐Worms. Their work appears in journals such as Journal of Biological Chemistry, Oncogene, Journal of Investigative Dermatology, Pigment Cell & Melanoma Research and Cell Cycle.
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.