Alberto Distefano

23 papers receiving 1.0k citations

Peers

Alberto Distefano
Comparison fields: 5 of 82
  • Biochemistry 160
  • Physiology 473
  • Endocrinology, Diabetes and Metabolism 161
  • Epidemiology 283
  • Cell Biology 129
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Laia Salvadó Spain
A. Brianne Thrush Canada
Tom Ashmore United Kingdom
Jonathan K. Hamm United States
Huei‐Fen Jheng Japan
Emilie Chanséaume France
Jason R. Berggren United States
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Citations per year

Countries citing papers authored by Alberto Distefano

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Distefano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007314
2 2007259
3 2008231
4 2007161
5 202216
6 202313
7 20187
8 19966
9 20185
10 20194
11 19954
12 20223
13 20193
14 20183
15 20183
16 20202
17 20182
18 20232
19
[Computer planning for postmastectomy breast reconstruction by tissue expansion].
20012
20
Indications For CT Scan In Patients with Trauma
20111

About Alberto Distefano

Alberto Distefano is a scholar working on Molecular Biology, Ophthalmology, Surgery, Physiology and Pathology and Forensic Medicine, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Ophthalmology and Eye Disorders (3 papers), Adipose Tissue and Metabolism (3 papers), Nasolacrimal Duct Obstruction Treatments (3 papers), Streptococcal Infections and Treatments (2 papers), Glaucoma and retinal disorders (2 papers), Facial Rejuvenation and Surgery Techniques (2 papers), Mitochondrial Function and Pathology (2 papers) and Folate and B Vitamins Research (1 paper). The work is most often cited by research in Biochemistry (160 citations), Physiology (473 citations), Endocrinology, Diabetes and Metabolism (161 citations), Epidemiology (283 citations) and Cell Biology (129 citations). Alberto Distefano has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include Cheol Soo Choi, Zhenxiang Liu, Gerald I. Shulman, Sheene Kim, Dongyan Zhang, Gary W. Cline, Ameya Kulkarni, Yu-Jin Hwang, David B. Savage and Roberto Codella. Their work appears in journals such as Ophthalmic Plastic and Reconstructive Surgery, Proceedings of the National Academy of Sciences, Life, Journal of Inherited Metabolic Disease and European Journal of Clinical Microbiology & Infectious Diseases.

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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