Erika Pace

21 papers receiving 180 citations

Peers

Erika Pace
Comparison fields: 5 of 45
  • Health Informatics 8
  • Hepatology 34
  • Gastroenterology 19
  • Reproductive Medicine 25
  • Obstetrics and Gynecology 18
Replace Yukio Nakabayashi with:
Yukio Nakabayashi Japan
Natasha Hasemaki Greece
T. Caramella France
Marta Goglia Italy
Haythem Najah France
Alfredo D’Andrea Italy
L. Azizi France
F Stagnitti Italy
James H. Boyum United States
Benjamin Darnis France
Erika Pace relative to Yukio Nakabayashi Japan Yukio Nakabayashi's profile →
Citations per field
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Yukio Nakabayashi · 1×
Citations per year

Countries citing papers authored by Erika Pace

Since Specialization
Citations

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

Fields of papers citing papers by Erika Pace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202032
2 201924
3 201822
4 201122
5 201714
6 202312
7 202110
8 20218
9 20236
10
The value of gadoxetic acid enhanced hepatospecific phase MR imaging for characterization of hepatocellular nodules in the cirrhotic liver
20116
11 20194
12 20234
13 20223
14 20223
15 20223
16 20222
17 20232
18 20221
19 20231
20 20191

About Erika Pace

Erika Pace is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Rheumatology and Pathology and Forensic Medicine, having authored 22 papers that have together received 181 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (5 papers), Soft tissue tumor case studies (3 papers), MRI in cancer diagnosis (3 papers), Breast Cancer Treatment Studies (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Gastrointestinal Tumor Research and Treatment (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). The work is most often cited by research in Health Informatics (8 citations), Hepatology (34 citations), Gastroenterology (19 citations), Reproductive Medicine (25 citations) and Obstetrics and Gynecology (18 citations). Erika Pace has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Antonella Filippone, Antonio Raffaele Cotroneo, Bhupinder Sharma, Ayoma D. Attygalle, Stéphanie Franchi‐Abella, Emmanuel Gonzalès, Matteo Neri, Mario Morone, Sophie Branchereau and Maria Antonietta Bali. Their work appears in journals such as Pediatric Blood & Cancer, European Journal of Radiology, British Journal of Cancer, Radiology and Acta Radiologica.

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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