G. Dal Molin

618 citations
29 papers · 480 indexed · h-index 13
Topics
Hepatitis B Virus Studies (6 papers)Hepatitis C virus research (6 papers)Liver Disease Diagnosis and Treatment (5 papers)
Partner nations
ItalyChileCameroon

In The Last Decade

G. Dal Molin

27 papers receiving 459 citations

Peers

G. Dal Molin
Comparison fields: 5 of 57
  • Epidemiology 319
  • Hepatology 239
  • Infectious Diseases 97
  • Gastroenterology 52
  • Surgery 47
Replace J Slusarczyk with:
J Slusarczyk Poland
Mary Rinki United States
Tijen Özacar Türkiye
Iwao Ariyama Japan
Marcelo Corti Argentina
Yasuhiro Kishihara Japan
M Midulla Italy
Kirsten A. Visoná United States
H. I. J. Thomas United Kingdom
Peter L. Page United States
G. Dal Molin relative to J Slusarczyk Poland J Slusarczyk's profile →
Citations per field
00.5×5.8×
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-authorship network of co-authors of G. Dal Molin

This figure shows the co-authorship network connecting the top 25 collaborators of G. Dal Molin. A scholar is included among the top collaborators of G. Dal Molin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. Dal Molin. G. Dal Molin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 12
3 8
4 8
5 7
6 25
7 33
8 6
9 5
10 12
11 2
12 77
13 57
14 15
15 40
16 22
17 21
18
Occurrence of Erysipelothrix rhusiopathiae on pork and in pig slurry, and the distribution of specific antibodies in abattoir workers
3
19
Epidemiologia delle infezioni da HIV: esperienze del gruppo veneto.
1
20
[Demonstration of viral particles associated with a loss of pathogenicity of Ophiobolus graminis Sacc. in grain blight].
2

About G. Dal Molin

G. Dal Molin is a scholar working on Hepatology, Microbiology and Parasitology, having authored 29 papers that have together received 480 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (6 papers), Hepatitis C virus research (6 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Hepatology (239 citations), Gastroenterology (52 citations) and Epidemiology (319 citations). G. Dal Molin has collaborated with scholars based in Italy, Chile and Cameroon. Frequent co-authors include Cesare Campello, Pierlanfranco D’Agaro, Claudio Tiribelli, C. Campello, Manola Comar, Filippo Ansaldi, Lory Saveria Crocè, Albino Poli, Salvatore Alberico and Giovanni Ciana. Their work appears in journals such as Journal of Bacteriology, Journal of Hepatology and Journal of Clinical Pathology.

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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