G. Prete

296 papers receiving 5.2k citations

Peers

G. Prete
Comparison fields: 5 of 89
  • Nuclear and High Energy Physics 2.5k
  • Immunology 404
  • Radiation 141
  • Immunology and Allergy 82
  • Endocrinology, Diabetes and Metabolism 221
Replace Masato Matsushita with:
Masato Matsushita Japan
Atsushi Ogata Japan
Kôji Watanabe Japan
William H. Meyer United States
Yutaka Komiyama Japan
Seiya Kato Japan
Hiroyuki Nakayama Japan
Eric A Lefebvre France
Jianfeng Wu China
Philippe Rousseau France
G. Prete relative to Masato Matsushita Japan Masato Matsushita's profile →
Citations per field
00.5×5×10×15×20×23.5×
Masato Matsushita · 1×
Citations per year

Countries citing papers authored by G. Prete

Since Specialization
Citations

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

Fields of papers citing papers by G. Prete

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 319 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991613
2 1993302
3 1991174
4 1996130
5 2003109
6 2007102
7 199796
8 200596
9 199293
10 200488
11 199486
12 200982
13 200277
14 201076
15 199074
16 200471
17
Enhanced production of gamma-interferon by thyroid-derived T cell clones from patients with Hashimoto's thyroiditis.
198768
18 198968
19 198662
20 198962

About G. Prete

G. Prete is a scholar working on Nuclear and High Energy Physics, Radiation, Immunology, Aerospace Engineering and Endocrinology, Diabetes and Metabolism, having authored 319 papers that have together received 5.4k indexed citations. Recurring topics across this work include Nuclear physics research studies (164 papers), Particle Detector Development and Performance (37 papers), T-cell and B-cell Immunology (12 papers), Particle accelerators and beam dynamics (12 papers), Thyroid Disorders and Treatments (11 papers), Radiation Detection and Scintillator Technologies (9 papers), Nuclear Physics and Applications (7 papers) and Radiation Effects in Electronics (5 papers). The work is most often cited by research in Nuclear and High Energy Physics (2.5k citations), Immunology (404 citations), Radiation (141 citations), Immunology and Allergy (82 citations) and Endocrinology, Diabetes and Metabolism (221 citations). G. Prete has collaborated with scholars based in Italy, United States and Poland. Frequent co-authors include Sergio Romagnani, M Ricci, Marco Carli, Donatella Macchia, Roberta Biagiotti, Mario Milco D’Elios, Paolo Falagiani, Giuseppe Viesti, G. Nebbia and Piero Maestrelli. Their work appears in journals such as Physical Review C, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Nuclear Physics A, The European Physical Journal A and Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms.

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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