Lorenzo Nardo

6.9k citations
143 papers · 4.9k indexed · 2 hit papers · h-index 37

Lorenzo Nardo

134 papers receiving 4.8k citations

Hit Papers

First Human Imaging Studies with the EXPLORER Total-Body ...4592018202620202023100200300400

Peers

Lorenzo Nardo
Comparison fields: 5 of 156
  • Rheumatology 1.4k
  • Orthopedics and Sports Medicine 738
  • Health Informatics 83
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Surgery 1.9k
Replace Toshinori Hirai with:
Toshinori Hirai Japan
Xiaojuan Li United States
Bruno Beomonte Zobel Italy
Charles Peterfy United States
Joan C. Vilanova Spain
Osamu Sakai Japan
Ji‐hoon Kim South Korea
Timothy J. Mosher United States
Maria I. Argyropoulou Greece
Julio Carballido‐Gamio United States
Lorenzo Nardo relative to Toshinori Hirai Japan Toshinori Hirai's profile →
Citations per field
00.5×3.0×
Toshinori Hirai · 1×
Citations per year

Countries citing papers authored by Lorenzo Nardo

Since Specialization
Citations

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

Fields of papers citing papers by Lorenzo Nardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20251
4 20247
5 202415
6 20242
7 20237
8 20238
9 20221
10 202075
11 20191
12 201629
13 201570
14 20151
15 201530
16 20141
17 20141
18 20132
19 2013119
20 2011104

About Lorenzo Nardo

Lorenzo Nardo is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging and Orthopedics and Sports Medicine, having authored 143 papers that have together received 4.9k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (44 papers), Osteoarthritis Treatment and Mechanisms (36 papers), Lower Extremity Biomechanics and Pathologies (28 papers), Radiomics and Machine Learning in Medical Imaging (26 papers), Advanced X-ray and CT Imaging (19 papers), Knee injuries and reconstruction techniques (17 papers), Bone and Joint Diseases (15 papers) and Hip disorders and treatments (14 papers). The work is most often cited by research in Rheumatology (1.4k citations), Orthopedics and Sports Medicine (738 citations) and Health Informatics (83 citations). Lorenzo Nardo has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Thomas M. Link, Charles E. McCulloch, Thomas M. Link, Sharmila Majumdar, J.A. Lynch, Thomas Baum, Michael C. Nevitt, Hamza Alizai, Ramsey D. Badawi and Deepak Kumar. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and PLoS ONE.

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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