E Pusey

413 citations
10 papers · 261 indexed · h-index 8

Impact in

Papers in

    • Liver Disease and Transplantation 2
    • Glioma Diagnosis and Treatment 2

E Pusey

10 papers receiving 252 citations

Peers

E Pusey
Comparison fields: 5 of 58
  • Genetics 54
  • Endocrinology, Diabetes and Metabolism 72
  • Radiology, Nuclear Medicine and Imaging 91
  • Emergency Medical Services 26
  • Hepatology 26
Replace Aparna Singhal with:
Aparna Singhal United States
Masayuki Mineta Japan
Dong Seon Lee South Korea
Kazushige Oda Japan
B.J. Kwon South Korea
Mariella Boller United States
Alessio Spinelli Italy
Jürgen Bunke Germany
H.S. Kim South Korea
Eugene Dunkle United States
E Pusey relative to Aparna Singhal United States Aparna Singhal's profile →
Citations per field
00.5×3.3×
Aparna Singhal · 1×
Citations per year

Countries citing papers authored by E Pusey

Since Specialization
Citations

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

Fields of papers citing papers by E Pusey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside E Pusey, 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 E Pusey Line = papers co-authored together E Pusey links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 198774
2 198656
3 198635
4 198726
5
MR of Craniopharyngiomas: Tumor Delineation and Characterization
198721
6 198817
7
Accurate demonstration of hepatic infarction in liver transplant recipients.
198615
8
Hepatic hemangiomas: evaluation by magnetic resonance imaging and technetium-99m red blood cell scintigraphy.
198711
9 19865
10 19861

About E Pusey

E Pusey is a scholar working on Hepatology, Genetics, Radiology, Nuclear Medicine and Imaging, Emergency Medical Services and Endocrinology, Diabetes and Metabolism, having authored 10 papers that have together received 261 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (4 papers), Medical Imaging Techniques and Applications (3 papers), Liver Disease and Transplantation (2 papers), Pituitary Gland Disorders and Treatments (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Adrenal and Paraganglionic Tumors (2 papers), Glioma Diagnosis and Treatment (2 papers) and Organ Transplantation Techniques and Outcomes (2 papers). The work is most often cited by research in Genetics (54 citations), Endocrinology, Diabetes and Metabolism (72 citations), Radiology, Nuclear Medicine and Imaging (91 citations), Emergency Medical Services (26 citations) and Hepatology (26 citations). E Pusey has collaborated with scholars based in United States. Frequent co-authors include Jay S. Tsuruda, Robert B. Lufkin, K E Kortman, W N Hanafee, D D Stark, Juan F. Lois, R W Tarr, M Solomon, Chun Yoon and Richard K. Brown. Their work appears in journals such as American Journal of Roentgenology, Radiology, Magnetic Resonance Imaging, Radiographics and Computerized Medical Imaging and Graphics.

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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