Erica Markiewicz

712 citations
33 papers · 444 · h-index 10

Impact in

Papers in

Erica Markiewicz

32 papers receiving 438 citations

Peers

Erica Markiewicz
Comparison fields: 5 of 80
  • Radiology, Nuclear Medicine and Imaging 115
  • Cancer Research 59
  • Biological Psychiatry 7
  • Surfaces, Coatings and Films 15
  • Biomedical Engineering 89
Replace Long Wen with:
Long Wen China
Jonas Franz Germany
Else Marie Huuse Norway
Marina Simón France
Qingqing Cheng China
Maria Gomez-Jenkins United States
Chin-Hsiang Chien Taiwan
Siqi Zhang China
Sarah Able United Kingdom
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Citations per year

Countries citing papers authored by Erica Markiewicz

Since Specialization
Citations

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

Fields of papers citing papers by Erica Markiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007150
2 202348
3 201032
4 202328
5 200922
6 201018
7 200915
8 200612
9 201711
10 20149
11 20129
12 20149
13 20157
14 20187
15 20217
16 20177
17 20157
18 20116
19 20086
20 20135

About Erica Markiewicz

Erica Markiewicz is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research and Surgery, having authored 33 papers that have together received 444 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (12 papers), Advanced MRI Techniques and Applications (11 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Infant Nutrition and Health (3 papers), Lanthanide and Transition Metal Complexes (3 papers), Cardiac Imaging and Diagnostics (2 papers), Ultrasound and Hyperthermia Applications (2 papers) and Fatty Acid Research and Health (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (115 citations), Cancer Research (59 citations), Biological Psychiatry (7 citations), Surfaces, Coatings and Films (15 citations) and Biomedical Engineering (89 citations). Erica Markiewicz has collaborated with scholars based in United States, China and Norway. Frequent co-authors include Xiaobing Fan, Gregory S. Karczmar, Brian B. Roman, Marta Zamora, Ketul C. Popat, Devkumar Mustafi, Tejal A. Desai, Craig A. Grimes, Lara Leoni and Suzanne D. Conzen. Their work appears in journals such as NMR in Biomedicine, Magnetic Resonance in Medicine, Gastroenterology, Gut Microbes and Breast Cancer Research.

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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