Fabio Triolo

1.3k citations
44 papers · 982 · h-index 16

Impact in

Papers in

    • Organ Transplantation Techniques and Outcomes 5
    • Tissue Engineering and Regenerative Medicine 4
    • Pancreatic function and diabetes 4
    • Phase Equilibria and Thermodynamics 9

Fabio Triolo

43 papers receiving 956 citations

Peers

Fabio Triolo
Comparison fields: 5 of 129
  • Genetics 307
  • Transplantation 34
  • Hepatology 88
  • Process Chemistry and Technology 31
  • Developmental Neuroscience 40
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Fabio Triolo relative to Chengjin Li China Chengjin Li's profile →
Citations per field
00.5×5.8×
Chengjin Li · 1×
Citations per year

Countries citing papers authored by Fabio Triolo

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Triolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019226
2 201690
3 201780
4 201154
5 199949
6 201048
7
The effect of CYP3A5 and ABCB1 single nucleotide polymorphisms on tacrolimus dose requirements in Caucasian liver transplant patients.
200938
8 202236
9 201030
10 200926
11 200023
12 201820
13 200219
14 200919
15 200017
16 200016
17 201915
18 202213
19 200113
20 200013

About Fabio Triolo

Fabio Triolo is a scholar working on Surgery, Biomedical Engineering, Genetics, Organic Chemistry and Molecular Biology, having authored 44 papers that have together received 982 indexed citations. Recurring topics across this work include Phase Equilibria and Thermodynamics (9 papers), Mesenchymal stem cell research (8 papers), Organ Transplantation Techniques and Outcomes (5 papers), Tissue Engineering and Regenerative Medicine (4 papers), Pancreatic function and diabetes (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Organometallic Compounds Synthesis and Characterization (3 papers) and Liver physiology and pathology (3 papers). The work is most often cited by research in Genetics (307 citations), Transplantation (34 citations), Hepatology (88 citations), Process Chemistry and Technology (31 citations) and Developmental Neuroscience (40 citations). Fabio Triolo has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Charles S. Cox, Scott D. Olson, Karthik S. Prabhakara, Bruno Gridelli, Naama E. Toledano Furman, Pamela L. Wenzel, Henry W. Caplan, R. Triolo, Supinder S. Bedi and Akshita Kumar. Their work appears in journals such as Applied Organometallic Chemistry, Journal of Applied Crystallography, Tissue Engineering Part A, Stem Cells and Neurology Neuroimmunology & Neuroinflammation.

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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