Roberto Gianani

4.8k citations
59 papers · 3.5k indexed · 1 hit paper · h-index 28

Roberto Gianani

58 papers receiving 3.4k citations

Hit Papers

Prediction of Type I Diabetes in First-Degree Relatives U...6231996202620062016200400600

Peers

Roberto Gianani
Comparison fields: 5 of 108
  • Endocrinology, Diabetes and Metabolism 1.9k
  • Genetics 2.5k
  • Surgery 2.3k
  • Immunology 639
  • Gastroenterology 99
Replace Roberto Mallone with:
Roberto Mallone France
Jonathan I. Wilde United Kingdom
Françoise Carlotti Netherlands
Marcia McDuffie United States
Helen Schuilenburg United Kingdom
Krishna Prasadan United States
Brygida Bisikirska United States
Henri‐Jean Garchon France
Izortze Santín Spain
Snehal Naik United States
Roberto Gianani relative to Roberto Mallone France Roberto Mallone's profile →
Citations per field
00.5×1.5×2.0×
Roberto Mallone · 1×
Citations per year

Countries citing papers authored by Roberto Gianani

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Gianani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20221
2 202111
3 20186
4 201414
5 201414
6 20135
7 201026
8 2010113
9 200827
10 200775
11 20071
12 200632
13 20069
14 2005271
15 200252
16 2001152
17 19997
18 199617
19 19944
20 199452

About Roberto Gianani

Roberto Gianani is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Immunology and Oncology, having authored 59 papers that have together received 3.5k indexed citations. Recurring topics across this work include Diabetes and associated disorders (40 papers), Pancreatic function and diabetes (36 papers), Diabetes Management and Research (24 papers), Immune Cell Function and Interaction (6 papers), Cancer Immunotherapy and Biomarkers (4 papers), Diabetes Treatment and Management (4 papers), T-cell and B-cell Immunology (4 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.9k citations), Genetics (2.5k citations), Surgery (2.3k citations), Immunology (639 citations) and Gastroenterology (99 citations). Roberto Gianani has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include George S. Eisenbarth, Liping Yu, Charles F. Verge, Massimo Pietropaolo, Eiji Kawasaki, Richard A. Jackson, H. Peter Chase, Mark A. Atkinson, Alberto Pugliese and Jan Jensen. Their work appears in journals such as Diabetes, Diabetologia, The Journal of Clinical Endocrinology & Metabolism, Proceedings of the National Academy of Sciences and Cancer Research.

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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