Roberta Scabini

681 citations
15 papers · 482 · h-index 14

Impact in

Papers in

Roberta Scabini

15 papers receiving 472 citations

Peers

Roberta Scabini
Comparison fields: 5 of 65
  • Cancer Research 275
  • Hematology 115
  • Oncology 233
  • Pulmonary and Respiratory Medicine 167
  • Molecular Biology 149
Replace Anne‐Marie Houllier with:
Anne‐Marie Houllier France
Francisca Ugwu Canada
Yanmeng Li China
Tsadik Habtetsion United States
Surender K. Sharawat India
Li Weng United States
Antonia N. Policheni Australia
Katrien Swerts Belgium
Nandini Ramachandra United States
Roberta Scabini relative to Anne‐Marie Houllier France Anne‐Marie Houllier's profile →
Citations per field
00.5×6.2×
Anne‐Marie Houllier · 1×
Citations per year

Countries citing papers authored by Roberta Scabini

Since Specialization
Citations

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

Fields of papers citing papers by Roberta Scabini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 200777
2 201158
3 200858
4 200338
5 201336
6 201235
7 201131
8 200928
9 200623
10 200420
11 200518
12 200918
13 201017
14 200715
15
NOD2/CARD15 gene polymorphisms in idiopathic pulmonary fibrosis.
200510

About Roberta Scabini

Roberta Scabini is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Oncology, Hematology and Molecular Biology, having authored 15 papers that have together received 482 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (9 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), Peptidase Inhibition and Analysis (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Lung Cancer Treatments and Mutations (2 papers), Sarcoidosis and Beryllium Toxicity Research (2 papers), Pediatric health and respiratory diseases (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Cancer Research (275 citations), Hematology (115 citations), Oncology (233 citations), Pulmonary and Respiratory Medicine (167 citations) and Molecular Biology (149 citations). Roberta Scabini has collaborated with scholars based in Italy, United Kingdom and Switzerland. Frequent co-authors include Maurizio Luisetti, Michele Zorzetto, Ilaria Ferrarotti, Ilaria Campo, Stefania Ottaviani, Marina Gorrini, Ernesto Pozzi, Simona Inghilleri, Giulia Maria Stella and Paola Mazzola. Their work appears in journals such as Respiratory Medicine, Translational research, Diagnostic Molecular Pathology, American Journal of Respiratory and Critical Care Medicine and Human Mutation.

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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