G. Dal Molin

621 citations
29 papers · 479 · h-index 13

Impact in

Papers in

    • Liver Disease Diagnosis and Treatment 5
    • Hepatitis B Virus Studies 4
    • Virology and Viral Diseases 3
    • Cytomegalovirus and herpesvirus research 3
    • Viral Infections and Vectors 4

G. Dal Molin

27 papers receiving 459 citations

Peers

G. Dal Molin
Comparison fields: 5 of 54
  • Hepatology 222
  • Gastroenterology 51
  • Epidemiology 221
  • Parasitology 42
  • Microbiology 36
Replace J Slusarczyk with:
J Slusarczyk Poland
Kirsten A. Visoná United States
Ricardo Rüttimann United States
Sjoerd Rebers Netherlands
Tijen Özacar Türkiye
C Belloni Italy
Giulia Tositti Italy
Chen–Chi Tsai Taiwan
Jo McAnerney South Africa
Carolyn Zanis United States
G. Dal Molin relative to J Slusarczyk Poland J Slusarczyk's profile →
Citations per field
00.5×7.3×
J Slusarczyk · 1×
Citations per year

Countries citing papers authored by G. Dal Molin

Since Specialization
Citations

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

Fields of papers citing papers by G. Dal Molin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200277
2 200258
3 200955
4 200240
5 200633
6 200625
7 200022
8 199920
9 200219
10 199916
11 200215
12 201012
13 200412
14 200311
15
A new serotype of Erysipelothrix rhusiopathiae isolated from pig slurry (short communication).
199110
16 20088
17 20098
18 20077
19 20056
20 20075

About G. Dal Molin

G. Dal Molin is a scholar working on Epidemiology, Infectious Diseases, Hepatology, Microbiology and Parasitology, having authored 29 papers that have together received 479 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Hepatitis C virus research (5 papers), Bartonella species infections research (4 papers), Hepatitis B Virus Studies (4 papers), Viral Infections and Vectors (4 papers), Virology and Viral Diseases (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Animal Virus Infections Studies (3 papers). The work is most often cited by research in Hepatology (222 citations), Gastroenterology (51 citations), Epidemiology (221 citations), Parasitology (42 citations) and Microbiology (36 citations). G. Dal Molin has collaborated with scholars based in Italy, Cameroon and United States. Frequent co-authors include Cesare Campello, Pierlanfranco D’Agaro, Claudio Tiribelli, Manola Comar, C. Campello, Lory Saveria Crocè, Filippo Ansaldi, Albino Poli, Salvatore Alberico and Giovanni Ciana. Their work appears in journals such as Journal of Medical Virology, Journal of Clinical Pathology, Infection, Acta Paediatrica and European Journal of Epidemiology.

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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