John Kucharczyk

9.2k citations
112 papers · 6.4k indexed · 2 hit papers · h-index 42

John Kucharczyk

110 papers receiving 6.2k citations

Hit Papers

Early detection of regional cerebral ischemia in cats: Co...1.3k19902026200220144008001.2k

Peers

John Kucharczyk
Comparison fields: 5 of 144
  • Radiology, Nuclear Medicine and Imaging 3.4k
  • Computational Mathematics 33
  • Neurology 677
  • Endocrine and Autonomic Systems 292
  • Endocrinology, Diabetes and Metabolism 647
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Kei Yamada Japan
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Citations per field
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Citations per year

Countries citing papers authored by John Kucharczyk

Since Specialization
Citations

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

Fields of papers citing papers by John Kucharczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2013259
2 20107
3 200359
4 200112
5 199744
6 1995266
7 19946
8
Cerebrovascular transit characteristics of DyDTPA-BMA and GdDTPA-BMA on normal and ischemic cat brain.
19937
9 199322
10 1993100
11 19921
12 199227
13 199256
14
Ultrafast magnetic resonance imaging: diffusion and perfusion.
199114
15 1991133
16 199150
17 199139
18
Thickened pituitary stalk on MR images in patients with diabetes insipidus and Langerhans cell histiocytosis.
199083
19 19904
20 198913

About John Kucharczyk

John Kucharczyk is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 112 papers that have together received 6.4k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (39 papers), Advanced Neuroimaging Techniques and Applications (27 papers), MRI in cancer diagnosis (26 papers), Neuroendocrine regulation and behavior (13 papers), Electrolyte and hormonal disorders (12 papers), Regulation of Appetite and Obesity (9 papers), Renin-Angiotensin System Studies (9 papers) and Neuroscience and Neuropharmacology Research (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (3.4k citations), Computational Mathematics (33 citations) and Neurology (677 citations). John Kucharczyk has collaborated with scholars based in United States, Canada and Austria. Frequent co-authors include Michael E. Moseley, Jan Mintorovitch, Michael F. Wendland, Yoram Cohen, David Norman, H S Asgari, Philip R. Weinstein, Hiroaki Shimizu, Timothy P. L. Roberts and Jay S. Tsuruda. Their work appears in journals such as American Journal of Neuroradiology, Magnetic Resonance in Medicine, Brain Research, Neuroimaging Clinics of North America and Radiology.

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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