Fabio Acocella

802 citations
39 papers · 601 · h-index 14

Impact in

Papers in

    • Tissue Engineering and Regenerative Medicine 5
    • Surgical Simulation and Training 2
    • Tracheal and airway disorders 7
    • Respiratory Support and Mechanisms 4
    • Neonatal Respiratory Health Research 4

Fabio Acocella

39 papers receiving 583 citations

Peers

Fabio Acocella
Comparison fields: 5 of 97
  • Reproductive Medicine 68
  • Biomaterials 80
  • Pulmonary and Respiratory Medicine 165
  • Public Health, Environmental and Occupational Health 116
  • Surgery 175
Replace Gordon Bourne with:
Gordon Bourne United Kingdom
Isabelle Masseau Canada
Eugene H. Chang United States
Viviana J. Wong United States
Monica C. Wusteman United Kingdom
L. J. A. DiDio United States
Darrell Brooks United States
J. S. Price United Kingdom
Peter Agger Denmark
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Citations per field
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Citations per year

Countries citing papers authored by Fabio Acocella

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Acocella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998103
2 200552
3 200447
4 201143
5 201341
6 201127
7 201623
8 201922
9 201322
10 202021
11 201719
12 201219
13 200615
14 200215
15 200913
16 200413
17 200312
18 201412
19 20209
20 20049

About Fabio Acocella

Fabio Acocella is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Biomaterials, Molecular Biology and Physiology, having authored 39 papers that have together received 601 indexed citations. Recurring topics across this work include Tracheal and airway disorders (7 papers), Electrospun Nanofibers in Biomedical Applications (6 papers), Tissue Engineering and Regenerative Medicine (5 papers), Respiratory Support and Mechanisms (4 papers), Neonatal Respiratory Health Research (4 papers), Marine animal studies overview (3 papers), Arctic and Antarctic ice dynamics (3 papers) and Surgical Simulation and Training (2 papers). The work is most often cited by research in Reproductive Medicine (68 citations), Biomaterials (80 citations), Pulmonary and Respiratory Medicine (165 citations), Public Health, Environmental and Occupational Health (116 citations) and Surgery (175 citations). Fabio Acocella has collaborated with scholars based in Italy, Canada and Switzerland. Frequent co-authors include Tiziana A. L. Brevini, Maria Laura Costantino, F. Gandolfi, Stefano Brizzola, Bruno Cozzi, A.M. Luciano, David T. Armstrong, A. Lauria, Paola Pocar and E. Milanesi. Their work appears in journals such as Journal of Biomechanics, Theriogenology, The Journal of Laryngology & Otology, The Veterinary Journal and Respiratory Physiology & Neurobiology.

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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