S. Frison

476 citations
43 papers · 305 · h-index 8

Impact in

Papers in

    • T-cell and B-cell Immunology 30
    • Immune Cell Function and Interaction 27
    • Immunotherapy and Immune Responses 17
    • Immune Response and Inflammation 4
    • Reproductive System and Pregnancy 3
    • Hematopoietic Stem Cell Transplantation 6
    • Blood groups and transfusion 2

S. Frison

38 papers receiving 283 citations

Peers

S. Frison
Comparison fields: 5 of 38
  • Hepatology 106
  • Transplantation 11
  • Immunology 90
  • Hematology 45
  • Epidemiology 88
Replace Eric Maller with:
Eric Maller United States
Tsuneaki Tagaya Japan
Takashi Shimoyama Japan
Tadashi Takeda Japan
I. Cascavilla Italy
Felipe Suarez Spain
Sjoerd de Rave Netherlands
Leïla Mouelhi Tunisia
Christian Oesterreicher Austria
Murielle Verboom Germany
S. Frison relative to Eric Maller United States Eric Maller's profile →
Citations per field
00.5×1.5×2.3×
Eric Maller · 1×
Citations per year

Countries citing papers authored by S. Frison

Since Specialization
Citations

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

Fields of papers citing papers by S. Frison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008113
2 200732
3 200517
4 200417
5 202210
6 20018
7 20037
8 20047
9 20037
10 20066
11 20016
12 20066
13 20015
14 20055
15 20105
16
HLA-DRB1 polymorphisms in 676 Italian patients with primary biliary cirrhosis and 2028 matched healthy controls : a nation-wide population-based case-control study
20055
17 20044
18 20034
19 20074
20 20053

About S. Frison

S. Frison is a scholar working on Immunology, Hematology, Epidemiology, Hepatology and Molecular Biology, having authored 43 papers that have together received 305 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (30 papers), Immune Cell Function and Interaction (27 papers), Immunotherapy and Immune Responses (17 papers), Hematopoietic Stem Cell Transplantation (6 papers), Immune Response and Inflammation (4 papers), Reproductive System and Pregnancy (3 papers), Blood groups and transfusion (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Hepatology (106 citations), Transplantation (11 citations), Immunology (90 citations), Hematology (45 citations) and Epidemiology (88 citations). S. Frison has collaborated with scholars based in Italy and United States. Frequent co-authors include Francesca Poli, Elena Vittoria Longhi, M. Scalamogna, Domenico Alvaro, Michael F. Seldin, Piero Luigi Almasio, Pietro Invernizzi, Carlo Selmi, Lihong Qi and Annarosa Floreani. Their work appears in journals such as International Journal of Immunogenetics, Human Immunology, Frontiers in Pediatrics, Transfusion and Molecular Medicine.

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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