G. Biolcati

33 papers receiving 473 citations

Peers

G. Biolcati
Comparison fields: 5 of 63
  • Dermatology 87
  • Rheumatology 72
  • Molecular Biology 307
  • Genetics 84
  • Cell Biology 48
Replace W.P. de Groot with:
W.P. de Groot Netherlands
Christian Vasseur France
Donald S. Mackenzie United States
L. Marchesi Italy
Valentina Broshtilova Bulgaria
M Chaâbouni Tunisia
Ilana Belzer United States
Å. Bengtsson Sweden
John R. Luckasen United States
Argentina Leon United States
G. Biolcati relative to W.P. de Groot Netherlands W.P. de Groot's profile →
Citations per field
00.5×10×15×
W.P. de Groot · 1×
Citations per year

Countries citing papers authored by G. Biolcati

Since Specialization
Citations

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

Fields of papers citing papers by G. Biolcati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201466
2 201156
3 201434
4 200933
5 201331
6 201427
7 201523
8 201722
9 201620
10 199717
11 200615
12 200515
13 200113
14
CD81 expression on CD19+ peripheral blood lymphocytes is associated with chronic HCV disease and increased risk for HCV infection: a putative role for inflammatory cytokines.
201013
15 200112
16 202110
17 200010
18 20168
19
Frequency of viral hepatitis markers in porphyria cutanea tarda
19937
20 19897

About G. Biolcati

G. Biolcati is a scholar working on Molecular Biology, Rheumatology, Genetics, Pulmonary and Respiratory Medicine and Clinical Biochemistry, having authored 33 papers that have together received 486 indexed citations. Recurring topics across this work include Porphyrin Metabolism and Disorders (20 papers), Heme Oxygenase-1 and Carbon Monoxide (11 papers), Folate and B Vitamins Research (9 papers), Genetic and rare skin diseases. (7 papers), Metabolism and Genetic Disorders (5 papers), Methemoglobinemia and Tumor Lysis Syndrome (5 papers), Neonatal Health and Biochemistry (3 papers) and Cancer and Skin Lesions (3 papers). The work is most often cited by research in Dermatology (87 citations), Rheumatology (72 citations), Molecular Biology (307 citations), Genetics (84 citations) and Cell Biology (48 citations). G. Biolcati has collaborated with scholars based in Italy, Switzerland and United Kingdom. Frequent co-authors include Elisabeth I. Minder, Luca Barbieri, Samantha Cialfi, Isabella Screpanti, Claudio Talora, Xiaoye Schneider‐Yin, X. Schneider‐Yin, Emanuela Marchesini, Jasmin Barman‐Aksözen and Maria Domenica Cappellini. Their work appears in journals such as Blood Cells Molecules and Diseases, British Journal of Dermatology, International Journal of Sports Medicine, Archives of Dermatological Research and Human Mutation.

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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