Katherine Zukotynski

4.2k citations
126 papers · 2.0k indexed · h-index 29

Katherine Zukotynski

121 papers receiving 2.0k citations

Peers

Katherine Zukotynski
Comparison fields: 5 of 113
  • Radiology, Nuclear Medicine and Imaging 774
  • Pulmonary and Respiratory Medicine 897
  • Health Informatics 29
  • Genetics 192
  • Oncology 348
Replace Christian Furth with:
Christian Furth Germany
Michaël Soussan France
Valerio Nardone Italy
Ryogo Minamimoto Japan
Ashkan A. Malayeri United States
Arnoldo Piccardo Italy
Roland Hustinx Belgium
Benedikt M. Schaarschmidt Germany
Francesco Bertagna Italy
Kumar Sandrasegaran United States
Katherine Zukotynski relative to Christian Furth Germany Christian Furth's profile →
Citations per field
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Christian Furth · 1×
Citations per year

Countries citing papers authored by Katherine Zukotynski

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Zukotynski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20230
3 20230
4
Image acquisition and interpretation of 18F-DCFPyL (piflufolastat F 18) PET/CT: How we do it.
20231
5 202119
6 20213
7 202113
8 202118
9 202122
10 20215
11 202020
12 201817
13 201729
14 201628
15 201614
16 20154
17 20138
18 20129
19 201072
20 20081

About Katherine Zukotynski

Katherine Zukotynski is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Health Informatics, having authored 126 papers that have together received 2.0k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (33 papers), Prostate Cancer Treatment and Research (33 papers), Radiopharmaceutical Chemistry and Applications (32 papers), Prostate Cancer Diagnosis and Treatment (16 papers), Radiomics and Machine Learning in Medical Imaging (16 papers), Lung Cancer Treatments and Mutations (10 papers), Glioma Diagnosis and Treatment (7 papers) and Lymphoma Diagnosis and Treatment (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (774 citations), Pulmonary and Respiratory Medicine (897 citations) and Health Informatics (29 citations). Katherine Zukotynski has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Katherine M. Krajewski, Nikhil H. Ramaiya, Jyothi P. Jagannathan, Frederic H. Fahey, S. Ted Treves, Atul B. Shinagare, Frederick D. Grant, Stephanie A. Howard, Laura A. Drubach and Helen Nadel. Their work appears in journals such as Journal of Nuclear Medicine, American Journal of Roentgenology, Cancer Imaging, Journal of Clinical Oncology and European Journal of Nuclear Medicine and Molecular Imaging.

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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