Brian Gabrielli

7.7k citations
129 papers · 6.0k indexed · h-index 47

Impact in

  • Cell Biology top 0.5%
    • Microtubule and mitosis dynamics
  • Oncology top 1%
    • Cancer-related Molecular Pathways

Papers in

Brian Gabrielli

128 papers receiving 5.9k citations

Peers

Brian Gabrielli
Comparison fields: 5 of 125
  • Cell Biology 1.6k
  • Oncology 2.1k
  • Molecular Biology 4.6k
  • Cancer Research 887
  • Aging 59
Replace Sheau-Yann Shieh with:
Sheau-Yann Shieh Taiwan
James J. Manfredi United States
Vjekoslav Dulić France
Alwin Krämer Germany
Christine E. Canman United States
Kevin M. Haigis United States
Larry M. Karnitz United States
Mangeng Cheng United States
P M O'Connor United States
Alan P. Fields United States
Brian Gabrielli relative to Sheau-Yann Shieh Taiwan Sheau-Yann Shieh's profile →
Citations per field
00.5×1.6×
Sheau-Yann Shieh · 1×
Citations per year

Countries citing papers authored by Brian Gabrielli

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Brian Gabrielli Line = papers co-authored together Brian Gabrielli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20244
2 20248
3 20240
4 20232
5 202113
6 202112
7 20195
8 201813
9 201817
10 201718
11 201715
12 201713
13 201619
14 201648
15 201535
16 201323
17 20109
18 200917
19 200641
20
Spontaneous and UVR-induced multiple metastatic melanomas in Cdk4R24C/R24C/TPras mice
20061

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026