Roberta Sferra

68 papers receiving 2.3k citations

Peers

Roberta Sferra
Comparison fields: 5 of 111
  • Hepatology 245
  • Cancer Research 244
  • Genetics 398
  • Epidemiology 427
  • Gastroenterology 64
Replace Antonella Vetuschi with:
Antonella Vetuschi Italy
Feng Zhou China
Michele A. Battle United States
Jianlin Ren China
Ken‐ichi Katsu Japan
Hajime Isomoto Japan
Vassilis Valatas Greece
Reiko Yamamoto Japan
Takashi Kagaya Japan
Seidai Sato Japan
Roberta Sferra relative to Antonella Vetuschi Italy Antonella Vetuschi's profile →
Citations per field
00.5×1.7×
Antonella Vetuschi · 1×
Citations per year

Countries citing papers authored by Roberta Sferra

Since Specialization
Citations

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

Fields of papers citing papers by Roberta Sferra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999229
2 2004167
3 2002108
4 200497
5 200993
6 202190
7
Can we prevent, reduce or reverse intestinal fibrosis in IBD?
201386
8 201583
9 201782
10 201675
11 200070
12 201560
13 201859
14 200958
15 201754
16 200950
17 201744
18 201944
19 201440
20 200840

About Roberta Sferra

Roberta Sferra is a scholar working on Surgery, Epidemiology, Genetics, Molecular Biology and Oncology, having authored 70 papers that have together received 2.3k indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (8 papers), Liver Disease Diagnosis and Treatment (7 papers), Digestive system and related health (5 papers), Liver Disease and Transplantation (5 papers), Organ Transplantation Techniques and Outcomes (5 papers), Liver physiology and pathology (4 papers), Gastrointestinal motility and disorders (3 papers) and Plant Pathogens and Fungal Diseases (3 papers). The work is most often cited by research in Hepatology (245 citations), Cancer Research (244 citations), Genetics (398 citations), Epidemiology (427 citations) and Gastroenterology (64 citations). Roberta Sferra has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Antonella Vetuschi, Eugenio Gaudio, Giovanni Latella, Simona Pompili, R. Caprilli, Paolo Onori, Giuseppe Frieri, Antonio Franchitto, Silvia Speca and Giuseppe Kenneth Ricciardi. Their work appears in journals such as Oncotarget, Digestive Diseases and Sciences, International Journal of Molecular Sciences, European Journal of Clinical Investigation and Inflammatory Bowel Diseases.

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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