ROSA GIANNARELLI

1.9k citations
84 papers · 1.6k · h-index 20

Impact in

Papers in

ROSA GIANNARELLI

81 papers receiving 1.5k citations

Peers

ROSA GIANNARELLI
Comparison fields: 5 of 97
  • Transplantation 252
  • Endocrinology, Diabetes and Metabolism 542
  • Surgery 677
  • Genetics 298
  • Pharmacology 87
Replace Jennifer L. Larsen with:
Jennifer L. Larsen United States
Maria Elena Lunati Italy
JOHN W. MACE United States
Andrés Bermúdez United States
Yasemin Gülcan Kurt Türkiye
Zuojie Luo China
Sven Köhler Germany
Jakeline Rheinheimer Brazil
Wolfgang Erwa Austria
Stefano Benedini Italy
ROSA GIANNARELLI relative to Jennifer L. Larsen United States Jennifer L. Larsen's profile →
Citations per field
00.5×2×3×4.3×
Jennifer L. Larsen · 1×
Citations per year

Countries citing papers authored by ROSA GIANNARELLI

Since Specialization
Citations

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

Fields of papers citing papers by ROSA GIANNARELLI

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003232
2 2020130
3 200682
4 200576
5 200567
6 201961
7 199958
8 199451
9 199551
10 202044
11 200342
12 201239
13 199136
14 199634
15 198632
16 201132
17 202131
18 198727
19 198926
20 200223

About ROSA GIANNARELLI

ROSA GIANNARELLI is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Transplantation, Genetics and Physiology, having authored 84 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (39 papers), Diabetes Management and Research (19 papers), Diabetes and associated disorders (16 papers), Renal Transplantation Outcomes and Treatments (10 papers), Metabolism, Diabetes, and Cancer (9 papers), Diabetes Treatment and Management (9 papers), Xenotransplantation and immune response (8 papers) and Diet and metabolism studies (5 papers). The work is most often cited by research in Transplantation (252 citations), Endocrinology, Diabetes and Metabolism (542 citations), Surgery (677 citations), Genetics (298 citations) and Pharmacology (87 citations). ROSA GIANNARELLI has collaborated with scholars based in Italy and United States. Frequent co-authors include Alberto Coppelli, Stefano Del Prato, Piero Marchetti, Michele Aragona, Renzo Navalesi, Franco Mosca, Ugo Boggi, Fabio Vistoli, Gaetano Emanuele Rizzo and Luca Benzi. Their work appears in journals such as Acta Diabetologica, Diabetes, Transplantation, Diabetes Care and Diabetes Research and Clinical Practice.

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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