Erika Pace

568 citations
31 papers · 362 · h-index 11

Impact in

Papers in

Erika Pace

30 papers receiving 357 citations

Peers

Erika Pace
Comparison fields: 5 of 49
  • Health Informatics 38
  • Radiology, Nuclear Medicine and Imaging 73
  • Gastroenterology 21
  • Genetics 26
  • Pulmonary and Respiratory Medicine 89
Replace Kazuaki Nakashima with:
Kazuaki Nakashima Japan
Shams I. Iqbal United States
Yoichi Otomi Japan
Shuhei Yoshida Japan
Kengo Ohta Japan
Salma Moalla France
Hugo C. Temperley Ireland
Yohan Son South Korea
Érik Deslandres Canada
Nadine C.M. van Huijgevoort Netherlands
Erika Pace relative to Kazuaki Nakashima Japan Kazuaki Nakashima's profile →
Citations per field
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Kazuaki Nakashima · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202146
2 202038
3 201930
4 202230
5 202329
6 201825
7 201122
8 202219
9 201718
10 202114
11 202312
12 202110
13 20239
14 20227
15 20237
16
The value of gadoxetic acid enhanced hepatospecific phase MR imaging for characterization of hepatocellular nodules in the cirrhotic liver
20116
17 20226
18 20195
19 20225
20 20255

About Erika Pace

Erika Pace is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics, Pulmonary and Respiratory Medicine, Surgery and Gastroenterology, having authored 31 papers that have together received 362 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (9 papers), MRI in cancer diagnosis (6 papers), Artificial Intelligence in Healthcare and Education (4 papers), Advanced MRI Techniques and Applications (3 papers), Organ Transplantation Techniques and Outcomes (2 papers), Breast Implant and Reconstruction (2 papers), Glioma Diagnosis and Treatment (2 papers) and Gastrointestinal Bleeding Diagnosis and Treatment (1 paper). The work is most often cited by research in Health Informatics (38 citations), Radiology, Nuclear Medicine and Imaging (73 citations), Gastroenterology (21 citations), Genetics (26 citations) and Pulmonary and Respiratory Medicine (89 citations). Erika Pace has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Antonella Filippone, Mario Morone, Maria Antonietta Bali, Martina Pezzullo, Antonio Raffaele Cotroneo, Angelo Milano, Matteo Neri, Andrew Charles Wotherspoon, Ayoma D. Attygalle and Danièle Pariente. Their work appears in journals such as Pediatric Blood & Cancer, European Journal of Radiology, Radiographics, Liver Transplantation and British Journal of Cancer.

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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