Stefania Paderni

445 total citations
15 papers, 310 citations indexed

About

Stefania Paderni is a scholar working on Surgery, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Stefania Paderni has authored 15 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 7 papers in Pathology and Forensic Medicine and 5 papers in Epidemiology. Recurrent topics in Stefania Paderni's work include Spine and Intervertebral Disc Pathology (7 papers), Spinal Fractures and Fixation Techniques (6 papers) and Pelvic and Acetabular Injuries (4 papers). Stefania Paderni is often cited by papers focused on Spine and Intervertebral Disc Pathology (7 papers), Spinal Fractures and Fixation Techniques (6 papers) and Pelvic and Acetabular Injuries (4 papers). Stefania Paderni collaborates with scholars based in Italy, China and United States. Stefania Paderni's co-authors include Silvia Terzi, Luca Amendola, Tiziana Greggi, Mario Di Silvestre, P. Parisini, Michele Cappuccio, Alessandro Gasbarrini, Stefano Boriani, S. Cervellati and R Savini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Spine and European Spine Journal.

In The Last Decade

Stefania Paderni

15 papers receiving 294 citations

Peers

Stefania Paderni
Comparison fields: 5 of 42
  • Surgery 225
  • Pathology and Forensic Medicine 168
  • Neurology 61
  • Biomedical Engineering 47
  • Pharmacology 47
Replace Keita Kuraishi with:
Keita Kuraishi Japan
Charles L. Schnee United States
John K. Song United States
Hassan Semaan United States
Dorothea Daentzer Germany
Nicolas Aurouer France
I. Gaitanis Greece
Po-Quang Chen Taiwan
Yuichiro Goda Japan
Valerio Pipola Italy
Keita Kuraishi Japan View profile →
Citations per field, relative to Stefania Paderni
Stefania Paderni · 1×
Citations per year, relative to Stefania Paderni
Stefania Paderni · 1×

Countries citing papers authored by Stefania Paderni

Since Specialization
Citations

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

Fields of papers citing papers by Stefania Paderni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefania Paderni

This figure shows the co-authorship network connecting the top 25 collaborators of Stefania Paderni. A scholar is included among the top collaborators of Stefania Paderni 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 Stefania Paderni. Stefania Paderni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 4
2 1
3 1
4 6
5 3
6 10
7 13
8 11
9 37
10 34
11 53
12 7
13 9
14 60
15 61

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026