Michael Straza

580 citations
27 papers · 385 · h-index 8

Impact in

Papers in

    • Medical Imaging Techniques and Applications 8
    • Advanced MRI Techniques and Applications 7
    • Radiomics and Machine Learning in Medical Imaging 6
    • Advances in Oncology and Radiotherapy 4
    • Advanced Radiotherapy Techniques 10

Michael Straza

23 papers receiving 381 citations

Peers

Michael Straza
Comparison fields: 5 of 50
  • Radiation 176
  • Radiology, Nuclear Medicine and Imaging 199
  • Pulmonary and Respiratory Medicine 117
  • Genetics 29
  • Hepatology 21
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Citations per field
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Citations per year

Countries citing papers authored by Michael Straza

Since Specialization
Citations

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

Fields of papers citing papers by Michael Straza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202092
2 200663
3 201053
4 202045
5 202136
6 202124
7 202022
8 201715
9 20195
10 20215
11 20214
12 20204
13 20223
14 20232
15 20222
16 20212
17 20202
18
Protein kinase C Zeta mediates EGF-induced growth of head and neck tumor cells by regulating MAP kinase
20061
19 20241
20 20231

About Michael Straza

Michael Straza is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Pulmonary and Respiratory Medicine, Genetics and Molecular Biology, having authored 27 papers that have together received 385 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (10 papers), Medical Imaging Techniques and Applications (8 papers), Advanced MRI Techniques and Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Glioma Diagnosis and Treatment (6 papers), Advances in Oncology and Radiotherapy (4 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Prostate Cancer Treatment and Research (3 papers). The work is most often cited by research in Radiation (176 citations), Radiology, Nuclear Medicine and Imaging (199 citations), Pulmonary and Respiratory Medicine (117 citations), Genetics (29 citations) and Hepatology (21 citations). Michael Straza has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include E.S. Paulson, Bradley A. Erickson, X. Allen Li, Nikolai J. Mickevicius, E Ahunbay, Xinfeng Chen, William A. Hall, Christopher J. Schultz, Guang‐Pei Chen and Hongyan Zhu. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Frontiers in Oncology, Practical Radiation Oncology, Advances in Radiation Oncology and Journal of Clinical Oncology.

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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