Lia Bartella

1.2k citations
15 papers · 849 · h-index 12

Impact in

Papers in

Lia Bartella

15 papers receiving 819 citations

Peers

Lia Bartella
Comparison fields: 5 of 54
  • Radiology, Nuclear Medicine and Imaging 517
  • Pathology and Forensic Medicine 378
  • Dermatology 132
  • Cancer Research 185
  • Oncology 88
Replace Elizabeth R. DePeri with:
Elizabeth R. DePeri United States
Rosalind H. Troupin United States
Linda Hovanessian‐Larsen United States
J.D. Lovin United States
Robert L. Gutierrez United States
Stephen Seiler United States
Mary C. Lechner United States
Dulcy Wolverton United States
Martín Velasco Spain
I. Verslegers Belgium
Lia Bartella relative to Elizabeth R. DePeri United States Elizabeth R. DePeri's profile →
Citations per field
00.5×1.5×
Elizabeth R. DePeri · 1×
Citations per year

Countries citing papers authored by Lia Bartella

Since Specialization
Citations

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

Fields of papers citing papers by Lia Bartella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2006184
2 2007121
3 2006110
4 200789
5 200364
6 200762
7 200658
8 200752
9 200747
10 201130
11 200615
12 199811
13 20023
14 20062
15 20011

About Lia Bartella

Lia Bartella is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Surgery, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 15 papers that have together received 849 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (10 papers), Advanced MRI Techniques and Applications (7 papers), Breast Lesions and Carcinomas (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Breast Cancer Treatment Studies (1 paper), Medical Imaging Techniques and Applications (1 paper) and Digital Radiography and Breast Imaging (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (517 citations), Pathology and Forensic Medicine (378 citations), Dermatology (132 citations), Cancer Research (185 citations) and Oncology (88 citations). Lia Bartella has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Laura Liberman, Elizabeth A. Morris, D. David Dershaw, Wei Huang, Sunitha B. Thakur, Chaya S. Moskowitz, Carmen Tornos, Melissa P. Murray, C. Smith and A.E. Holland. Their work appears in journals such as American Journal of Roentgenology, Radiology, Current Oncology Reports, Radiologic Clinics of North America and The Journal of Laryngology & Otology.

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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