Leda Lorenzon

432 citations
12 papers · 222 indexed · h-index 7
Topics
Medical Imaging Techniques and Applications (7 papers)Radiopharmaceutical Chemistry and Applications (6 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)
Partner nations
ItalyUnited StatesSweden

In The Last Decade

Leda Lorenzon

11 papers receiving 218 citations

Peers

Leda Lorenzon
Comparison fields: 5 of 25
  • Radiology, Nuclear Medicine and Imaging 200
  • Pulmonary and Respiratory Medicine 117
  • Radiation 59
  • Oncology 35
  • Hepatology 18
Replace Konstantinos Ferentinos with:
Konstantinos Ferentinos Cyprus
S. Teodoli Italy
M. Czerminska United States
Lukas Nierer Germany
Zhiyong Xu China
Aileen Duffton United Kingdom
Angel Kennedy Australia
Vivienn Weru Germany
C. H. Heinz Germany
Charlotte S. van der Vos Netherlands
Leda Lorenzon relative to Konstantinos Ferentinos Cyprus Konstantinos Ferentinos's profile →
Citations per field
00.5×4.5×
Konstantinos Ferentinos · 1×
Citations per year

Countries citing papers authored by Leda Lorenzon

Since Specialization
Citations

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

Fields of papers citing papers by Leda Lorenzon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leda Lorenzon

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 3
2 2
3 6
4 2
5 36
6 9
7 1
8 16
9 19
10 0
11 21
12 107

About Leda Lorenzon

Leda Lorenzon is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Radiation, having authored 12 papers that have together received 222 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (7 papers), Radiopharmaceutical Chemistry and Applications (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (200 citations), Radiation (59 citations) and Health Informatics (5 citations). Leda Lorenzon has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Massimiliano Pacilio, B. Cassano, Elisabetta Di Castro, R. Pani, Pasquale Ialongo, Lucio Mango, Guido Ventroni, R. Pellegrini, Giulia Anna Follacchio and Viviana Frantellizzi. Their work appears in journals such as PLoS ONE, Medical Physics and European Journal of Nuclear Medicine and Molecular Imaging.

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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