F.S. Gaeta

794 citations
35 papers · 670 · h-index 16

Impact in

Papers in

F.S. Gaeta

35 papers receiving 632 citations

Peers

F.S. Gaeta
Comparison fields: 5 of 74
  • Geophysics 160
  • Statistical and Nonlinear Physics 73
  • Biotechnology 49
  • Molecular Medicine 24
  • Molecular Biology 280
Replace D. Castagnolo with:
D. Castagnolo Italy
Bo Deng China
Yong Zhai China
Jan Ove Hansen Germany
Malcolm L. White United States
Zhixiong Chen China
Lingzhi Sun China
О. А. Киселева Russia
R. Sperb Switzerland
Radim Mareš Czechia
F.S. Gaeta relative to D. Castagnolo Italy D. Castagnolo's profile →
Citations per field
00.5×10×16.3×
D. Castagnolo · 1×
Citations per year

Countries citing papers authored by F.S. Gaeta

Since Specialization
Citations

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

Fields of papers citing papers by F.S. Gaeta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.S. Gaeta. 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 F.S. Gaeta. The network helps show where F.S. Gaeta may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199874
2 199871
3 200350
4 199934
5 198729
6 200028
7 200027
8 200126
9 199325
10 200124
11 200023
12 199821
13 200020
14 200019
15 199717
16 199416
17 198315
18 200114
19 200114
20 196413

About F.S. Gaeta

F.S. Gaeta is a scholar working on Biomedical Engineering, Molecular Biology, Statistical and Nonlinear Physics, Computational Mechanics and Physical and Theoretical Chemistry, having authored 35 papers that have together received 670 indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (11 papers), Field-Flow Fractionation Techniques (8 papers), Enzyme Catalysis and Immobilization (7 papers), Microfluidic and Capillary Electrophoresis Applications (7 papers), Electrohydrodynamics and Fluid Dynamics (6 papers), earthquake and tectonic studies (4 papers), thermodynamics and calorimetric analyses (4 papers) and Nanopore and Nanochannel Transport Studies (3 papers). The work is most often cited by research in Geophysics (160 citations), Statistical and Nonlinear Physics (73 citations), Biotechnology (49 citations), Molecular Medicine (24 citations) and Molecular Biology (280 citations). F.S. Gaeta has collaborated with scholars based in Italy, Netherlands and Poland. Frequent co-authors include D.G. Mita, U. Bencivenga, Sergio Rossi, Marianna Portaccio, P. Canciglia, D. Castagnolo, M.S. Mohy Eldin, Giuseppe De Natale, Anna De Maio and Sérgio Rossi. Their work appears in journals such as Journal of Molecular Catalysis B Enzymatic, Journal of Membrane Science, Journal of Volcanology and Geothermal Research, Journal of Geophysical Research Atmospheres and Physical Review Letters.

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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