Paolo Grossi

15.8k citations
339 papers · 7.2k indexed · 1 hit paper · h-index 48

Paolo Grossi

286 papers receiving 7.0k citations

Hit Papers

Saliva is a reliable tool to detect SARS-CoV-24362020202620222024100200300400

Peers

Paolo Grossi
Comparison fields: 5 of 174
  • Transplantation 650
  • Infectious Diseases 2.7k
  • Epidemiology 3.6k
  • Molecular Medicine 500
  • Hepatology 652
Replace Francisco M. Marty with:
Francisco M. Marty United States
Jay A. Fishman United States
YL Lau Hong Kong
William D. Rawlinson Australia
Jo‐Anne H. Young United States
Robin K. Avery United States
Stéphane Bretagne France
David A. Pegues United States
Ajit P. Limaye United States
Maria Paola Landini Italy
Paolo Grossi relative to Francisco M. Marty United States Francisco M. Marty's profile →
Citations per field
00.5×3.7×
Francisco M. Marty · 1×
Citations per year

Countries citing papers authored by Paolo Grossi

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Grossi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20243
4 20245
5 20240
6 20248
7 202121
8 202013
9 202050
10 201837
11
An autochthonous sexually transmitted Zika virus infection in Italy 2016.
20186
12 20181
13 201815
14 201474
15 20140
16
Luigi Mengoni nella civilistica italiana del Novecento
20120
17
Il diritto civile nella legalità costituzionale
20092
18
Da sociedade de sociedades à insularidade do estado entre medievo e Idade Moderna
20071
19
Uno storico del diritto in colloquio con Capograssi
20060
20
La fantasia nel diritto
19860

About Paolo Grossi

Paolo Grossi is a scholar working on Industrial relations, Transplantation and Infectious Diseases, having authored 339 papers that have together received 7.2k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (51 papers), Renal Transplantation Outcomes and Treatments (39 papers), Legal and Labor Studies (32 papers), Transplantation: Methods and Outcomes (27 papers), Pneumocystis jirovecii pneumonia detection and treatment (27 papers), Herpesvirus Infections and Treatments (19 papers), Antibiotic Resistance in Bacteria (18 papers) and Antimicrobial Resistance in Staphylococcus (18 papers). The work is most often cited by research in Transplantation (650 citations), Infectious Diseases (2.7k citations) and Epidemiology (3.6k citations). Paolo Grossi has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Giuseppe Gerna, Daniela Dalla Gasperina, Jay A. Fishman, Elena Percivalle, Maria Grazia Revello, Fausto Baldanti, Maurizio Zavattoni, R. Fiocchi, L. Minoli and Michael G. Ison. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

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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