Fernando Cabral

4.8k citations
81 papers · 4.1k · h-index 36

Impact in

  • Cell Biology top 0.2%
    • Microtubule and mitosis dynamics
    • Cellular Mechanics and Interactions
  • Oncology top 2%
    • Cancer Treatment and Pharmacology
    • Cancer-related Molecular Pathways

Papers in

    • Microtubule and mitosis dynamics 58
    • Cellular Mechanics and Interactions 5
    • 14-3-3 protein interactions 25
    • Photosynthetic Processes and Mechanisms 13
    • Ubiquitin and proteasome pathways 11
    • DNA Repair Mechanisms 6

Fernando Cabral

81 papers receiving 3.8k citations

Peers

Fernando Cabral
Comparison fields: 5 of 123
  • Cell Biology 2.1k
  • Oncology 1.3k
  • Molecular Biology 2.6k
  • Biomaterials 270
  • Cancer Research 266
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Citations per field
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Citations per year

Countries citing papers authored by Fernando Cabral

Since Specialization
Citations

This map shows the geographic impact of Fernando Cabral'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 Fernando Cabral with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Cabral more than expected).

Fields of papers citing papers by Fernando Cabral

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Cabral. 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 Fernando Cabral. The network helps show where Fernando Cabral may publish in the future.

Co-authors

The 25 scholars most cited alongside Fernando Cabral, 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 Fernando Cabral Line = papers co-authored together Fernando Cabral links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Complete regression of well-established tumors using a novel water-soluble poly(L-glutamic acid)-paclitaxel conjugate.
1998271
2 2005208
3 1991197
4 1980170
5 2010139
6
Estramustine depolymerizes microtubules by binding to tubulin.
1993132
7 2003131
8 1999120
9 1981119
10 1979118
11 2012111
12 1986107
13 1978100
14 201099
15 198182
16 198381
17 197981
18 200479
19 201078
20 200174

About Fernando Cabral

Fernando Cabral is a scholar working on Cell Biology, Molecular Biology, Oncology, Materials Chemistry and Spectroscopy, having authored 81 papers that have together received 4.1k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (58 papers), 14-3-3 protein interactions (25 papers), Cancer Treatment and Pharmacology (20 papers), Photosynthetic Processes and Mechanisms (13 papers), Ubiquitin and proteasome pathways (11 papers), DNA Repair Mechanisms (6 papers), Enzyme Structure and Function (5 papers) and Cellular Mechanics and Interactions (5 papers). The work is most often cited by research in Cell Biology (2.1k citations), Oncology (1.3k citations), Molecular Biology (2.6k citations), Biomaterials (270 citations) and Cancer Research (266 citations). Fernando Cabral has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Michael M. Gottesman, Hailing Yang, Anutosh Ganguly, Steven B. Barlow, Rajat Bhattacharya, Gottfried Schatz, Manuel L. Gonzalez‐Garay, A. Minotti, Matthew J. Schibler and Mark E. Sobel. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology, Molecular Cancer Therapeutics, Molecular and Cellular Biology and Journal of Cell Science.

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.

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