P. Cassinotti

31 papers receiving 1.3k citations

Peers

P. Cassinotti
Comparison fields: 5 of 56
  • Infectious Diseases 951
  • Parasitology 331
  • Dermatology 361
  • Public Health, Environmental and Occupational Health 264
  • Genetics 205
Replace Yasuko Matsunaga with:
Yasuko Matsunaga Japan
Steve Kleiboeker United States
Carlos Ros Switzerland
Luc Chabanne France
Sharon Steinberg United States
Dennis Parenti United States
J. E. Cradock‐Watson United Kingdom
Mark P. Nasisse United States
Achiléa Lisbôa Bittencourt Brazil
Lea Hedman Finland
P. Cassinotti relative to Yasuko Matsunaga Japan Yasuko Matsunaga's profile →
Citations per field
00.5×2×4×6.6×
Yasuko Matsunaga · 1×
Citations per year

Countries citing papers authored by P. Cassinotti

Since Specialization
Citations

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

Fields of papers citing papers by P. Cassinotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002287
2 1997130
3 2001100
4 199695
5 199369
6
Organization of the adeno-associated virus (AAV) capsid gene: mapping of a minor spliced mRNA coding for virus capsid protein 1.
198864
7 200060
8 201655
9 198850
10 199347
11 199843
12 199829
13 199628
14
Postpartum lupus erythematosus associated with parvovirus B19 infection.
199726
15 200725
16 199625
17 199625
18 200424
19 199522
20 199719

About P. Cassinotti

P. Cassinotti is a scholar working on Infectious Diseases, Dermatology, Epidemiology, Pediatrics, Perinatology and Child Health and Parasitology, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Parvovirus B19 Infection Studies (17 papers), Dermatological and COVID-19 studies (8 papers), Herpesvirus Infections and Treatments (5 papers), Prenatal Screening and Diagnostics (4 papers), Vector-borne infectious diseases (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Mosquito-borne diseases and control (2 papers) and Cervical Cancer and HPV Research (2 papers). The work is most often cited by research in Infectious Diseases (951 citations), Parasitology (331 citations), Dermatology (361 citations), Public Health, Environmental and Occupational Health (264 citations) and Genetics (205 citations). P. Cassinotti has collaborated with scholars based in Switzerland, Germany and Italy. Frequent co-authors include G. Siegl, Jon-Duri Tratschin, Günter Siegl, Manfred Weitz, M. Fopp, O Péter, D. Schultze, A. von Poblotzki, Susanne Modrow and Andreas Gigler. Their work appears in journals such as Journal of Medical Virology, Journal of Clinical Virology, Journal of General Virology, European Journal of Clinical Microbiology & Infectious Diseases and Journal of Pediatric Hematology/Oncology.

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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