Daniele Sblattero

4.9k citations
127 papers · 3.8k indexed · h-index 35

Daniele Sblattero

123 papers receiving 3.7k citations

Peers

Daniele Sblattero
Comparison fields: 5 of 122
  • Gastroenterology 1.2k
  • Radiology, Nuclear Medicine and Imaging 1.0k
  • Immunology 767
  • Rheumatology 460
  • Hematology 295
Replace George K. Papadopoulos with:
George K. Papadopoulos Greece
Roberto Tosi Italy
Paul A. Edwards United Kingdom
Alfred C. Feller Germany
Hartmut Merz Germany
June Eisenman Canada
Martin E. Sanders United States
Segundo González Spain
Oliver A. Garden United Kingdom
Ralph E. Schrohenloher United States
Daniele Sblattero relative to George K. Papadopoulos Greece George K. Papadopoulos's profile →
Citations per field
00.5×3.3×
George K. Papadopoulos · 1×
Citations per year

Countries citing papers authored by Daniele Sblattero

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Sblattero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20237
3 202117
4 20206
5 201927
6 20193
7 201722
8 201638
9 2014106
10 201312
11
A Human Monoclonal Antibody Against Domain I Of beta 2-Glycoprotein I prevents Clotting and Fetal Loss Induced By Polyclonal Anti-Phospholipid Antibodies In Animal Models.
20133
12 201015
13 201091
14 200822
15
Abstract 947: Dpp10 - A New Putative Regulatory {beta}-subunit Of Ito In Failing And Non-failing Human Heart
20072
16 200724
17 200516
18 200343
19 200289
20 2001142

About Daniele Sblattero

Daniele Sblattero is a scholar working on Gastroenterology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 127 papers that have together received 3.8k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (45 papers), Celiac Disease Research and Management (44 papers), Glycosylation and Glycoproteins Research (19 papers), Autoimmune Bullous Skin Diseases (14 papers), Protein purification and stability (14 papers), Blood properties and coagulation (13 papers), Microscopic Colitis (12 papers) and Galectins and Cancer Biology (10 papers). The work is most often cited by research in Gastroenterology (1.2k citations), Radiology, Nuclear Medicine and Imaging (1.0k citations) and Immunology (767 citations). Daniele Sblattero has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Andrew Bradbury, Roberto Marzari, Tarcisio Not, Paolo Macor, Alessandro Ventura, Francesco Tedesco, Fiorella Florian, Claudio Santoro, Roberta Bulla and Alberto Tommasini. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Circulation.

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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