Eva Sevick

2.0k citations
29 papers · 1.6k · h-index 15

Impact in

Papers in

Eva Sevick

28 papers receiving 1.6k citations

Peers

Eva Sevick
Comparison fields: 5 of 109
  • Radiology, Nuclear Medicine and Imaging 798
  • Acoustics and Ultrasonics 33
  • Biophysics 200
  • Cancer Research 249
  • Biomedical Engineering 779
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Citations per field
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Citations per year

Countries citing papers authored by Eva Sevick

Since Specialization
Citations

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

Fields of papers citing papers by Eva Sevick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Microvascular architecture in a mammary carcinoma: branching patterns and vessel dimensions.
1991439
2 1991311
3
Geometric resistance to blood flow in solid tumors perfused ex vivo: effects of tumor size and perfusion pressure.
1989146
4
Viscous resistance to blood flow in solid tumors: effect of hematocrit on intratumor blood viscosity.
1989110
5 1992105
6 199397
7 201593
8
Measurement of capillary filtration coefficient in a solid tumor.
199163
9 199452
10
Blood flow and venous pH of tissue-isolated Walker 256 carcinoma during hyperglycemia.
198851
11 199245
12
Effect of red blood cell rigidity on tumor blood flow: increase in viscous resistance during hyperglycemia.
199131
13 199724
14 199217
15 199215
16 199413
17 199313
18 19906
19 20074
20 19943

About Eva Sevick

Eva Sevick is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Molecular Biology, Cancer Research and Oncology, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include Optical Imaging and Spectroscopy Techniques (15 papers), Photoacoustic and Ultrasonic Imaging (11 papers), Non-Invasive Vital Sign Monitoring (8 papers), Cancer, Hypoxia, and Metabolism (4 papers), MRI in cancer diagnosis (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Erythropoietin and Anemia Treatment (3 papers) and Blood transfusion and management (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (798 citations), Acoustics and Ultrasonics (33 citations), Biophysics (200 citations), Cancer Research (249 citations) and Biomedical Engineering (779 citations). Eva Sevick has collaborated with scholars based in United States and Canada. Frequent co-authors include Thomas C. Skalak, Joanne R. Less, B. Chance, R K Jain, Michael B. Maris, Shoko Nioka, J.S. Leigh, R K Jain, Brian C. Wilson and Michael S. Patterson. Their work appears in journals such as Advances in experimental medicine and biology, Journal of Controlled Release, Analytical Biochemistry, Hepatology and Annals of Biomedical Engineering.

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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