A. Coniglio

25 papers receiving 375 citations

Peers

A. Coniglio
Comparison fields: 5 of 76
  • Modeling and Simulation 97
  • Radiation 46
  • Radiology, Nuclear Medicine and Imaging 101
  • Hepatology 32
  • Infectious Diseases 65
Replace David Ng with:
David Ng Malaysia
Sumit K. Shah United States
James Regan United States
Bicheng Zhang United States
Raman Verma United Kingdom
Haruka Nakada Japan
Asma’a Al-Mnayyis Jordan
C.M. Pandey India
Daniel Cox Australia
Jiong Wu China
A. Coniglio relative to David Ng Malaysia David Ng's profile →
Citations per field
00.5×5.4×
David Ng · 1×
Citations per year

Countries citing papers authored by A. Coniglio

Since Specialization
Citations

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

Fields of papers citing papers by A. Coniglio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020146
2 201269
3 201827
4 201226
5 201818
6 201917
7 202017
8 201912
9 20148
10 20217
11 20216
12 20116
13 20135
14 20124
15 20104
16 20124
17 20054
18
Early and long-term prognostic factors after liver resection for HCC.
20002
19 20062
20 20231

About A. Coniglio

A. Coniglio is a scholar working on Surgery, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Aerospace Engineering and Radiation, having authored 27 papers that have together received 390 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (7 papers), Spinal Fractures and Fixation Techniques (7 papers), Pelvic and Acetabular Injuries (6 papers), Particle accelerators and beam dynamics (5 papers), Nuclear reactor physics and engineering (3 papers), Medical Imaging Techniques and Applications (3 papers), Fusion materials and technologies (3 papers) and Advanced Radiotherapy Techniques (3 papers). The work is most often cited by research in Modeling and Simulation (97 citations), Radiation (46 citations), Radiology, Nuclear Medicine and Imaging (101 citations), Hepatology (32 citations) and Infectious Diseases (65 citations). A. Coniglio has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Marco D’Arienzo, Massimo Girardo, Federico Fusini, Alessandro Rava, Francesco Scopinaro, Rita Salvatori, Roberto Cianni, Oreste Bagni, Andrea Malizia and Stefano Artiaco. Their work appears in journals such as Fusion Engineering and Design, Physica Medica, Cancer Biotherapy and Radiopharmaceuticals, Magnetic Resonance in Medicine and European Journal of Orthopaedic Surgery & Traumatology.

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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