Roberta Sferra

3.0k total citations
69 papers, 2.3k citations indexed

About

Roberta Sferra is a scholar working on Surgery, Molecular Biology and Epidemiology. According to data from OpenAlex, Roberta Sferra has authored 69 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Surgery, 19 papers in Molecular Biology and 19 papers in Epidemiology. Recurrent topics in Roberta Sferra's work include Liver Disease Diagnosis and Treatment (11 papers), Inflammatory Bowel Disease (9 papers) and Liver Disease and Transplantation (6 papers). Roberta Sferra is often cited by papers focused on Liver Disease Diagnosis and Treatment (11 papers), Inflammatory Bowel Disease (9 papers) and Liver Disease and Transplantation (6 papers). Roberta Sferra collaborates with scholars based in Italy, United States and France. Roberta Sferra's co-authors include Antonella Vetuschi, Eugenio Gaudio, Giovanni Latella, Simona Pompili, R. Caprilli, Paolo Onori, Antonio Franchitto, Giuseppe Frieri, G Taddei and Giuseppe Kenneth Ricciardi and has published in prestigious journals such as Gastroenterology, Cancer Cell and International Journal of Molecular Sciences.

In The Last Decade

Roberta Sferra

68 papers receiving 2.2k citations

Peers

Roberta Sferra
Comparison fields: 5 of 113
  • Molecular Biology 840
  • Epidemiology 505
  • Genetics 466
  • Surgery 450
  • Oncology 325
Replace Antonella Vetuschi with:
Antonella Vetuschi Italy
Toshiaki Nakano Japan
Ken‐ichi Katsu Japan
Vassilis Valatas Greece
Jianlin Ren China
Takashi Kagaya Japan
Reiko Yamamoto Japan
Michele A. Battle United States
Huihui Xu China
Maryvonne Daveau France
Antonella Vetuschi Italy View profile →
Citations per field, relative to Roberta Sferra
Roberta Sferra · 1×
Citations per year, relative to Roberta Sferra
Roberta Sferra · 1×

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-authorship network of co-authors of Roberta Sferra

This figure shows the co-authorship network connecting the top 25 collaborators of Roberta Sferra. A scholar is included among the top collaborators of Roberta Sferra based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Roberta Sferra. Roberta Sferra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 18
3 13
4 86
5 38
6 18
7 28
8 80
9 25
10 1
11 18
12 82
13 40
14 12
15 58
16 50
17 97
18 107
19 28
20 19

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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