Roberta Sferra

3.0k citations
69 papers · 2.3k · h-index 27

Impact in

  • Hepatology top 5%
    • Liver physiology and pathology
    • Liver Disease and Transplantation
    • MicroRNA in disease regulation

Papers in

Roberta Sferra

68 papers receiving 2.2k citations

Peers

Roberta Sferra
Comparison fields: 5 of 113
  • Hepatology 284
  • Cancer Research 275
  • Genetics 466
  • Epidemiology 505
  • Gastroenterology 79
Replace Antonella Vetuschi with:
Antonella Vetuschi Italy
Ken‐ichi Katsu Japan
Michele A. Battle United States
Takashi Kagaya Japan
Toshiaki Nakano Japan
Reiko Yamamoto Japan
Vassilis Valatas Greece
Jianlin Ren China
Hasan Kulaksiz Germany
Martı́n G. Martı́n United States
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 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999229
2 2004166
3 2002107
4 200497
5 200993
6 202186
7
Can we prevent, reduce or reverse intestinal fibrosis in IBD?
201384
8 201582
9 201780
10 201674
11 200070
12 201560
13 201859
14 200958
15 201754
16 200950
17 201944
18 201744
19 201440
20 200840

About Roberta Sferra

Roberta Sferra is a scholar working on Surgery, Molecular Biology, Epidemiology, Genetics and Oncology, having authored 69 papers that have together received 2.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (11 papers), Inflammatory Bowel Disease (9 papers), Organ Transplantation Techniques and Outcomes (6 papers), Liver Disease and Transplantation (6 papers), TGF-β signaling in diseases (5 papers), Digestive system and related health (5 papers), Genetic factors in colorectal cancer (4 papers) and Liver physiology and pathology (4 papers). The work is most often cited by research in Hepatology (284 citations), Cancer Research (275 citations), Genetics (466 citations), Epidemiology (505 citations) and Gastroenterology (79 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, Giuseppe Kenneth Ricciardi and G Taddei. Their work appears in journals such as Oncotarget, Digestive Diseases and Sciences, Journal of Crohn s and Colitis, Journal of Hepatology and International Journal of Molecular Sciences.

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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