Brian J. Burkett

1.0k total citations · 1 hit paper
33 papers, 530 citations indexed

About

Brian J. Burkett is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Brian J. Burkett has authored 33 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Pulmonary and Respiratory Medicine and 5 papers in Surgery. Recurrent topics in Brian J. Burkett's work include Prostate Cancer Treatment and Research (7 papers), Radiopharmaceutical Chemistry and Applications (6 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Brian J. Burkett is often cited by papers focused on Prostate Cancer Treatment and Research (7 papers), Radiopharmaceutical Chemistry and Applications (6 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Brian J. Burkett collaborates with scholars based in United States, New Zealand and Norway. Brian J. Burkett's co-authors include A. Tuba Kendi, Þorvarður R. Hálfdánarson, Geoffrey B. Johnson, Derek R. Johnson, Val J. Lowe, Michael Morris, Babak Saboury, Eliot L. Siegel, David J. Bartlett and Annie T. Packard and has published in prestigious journals such as Journal of Clinical Oncology, Radiology and Journal of Thoracic and Cardiovascular Surgery.

In The Last Decade

Brian J. Burkett

29 papers receiving 520 citations

Hit Papers

Theranostics and artificial intelligence: new frontiers i... 2024 2026 2025 2024 10 20 30 40 50

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Brian J. Burkett United States 12 162 83 75 74 63 33 530
Jiahe Tian China 14 339 2.1× 111 1.3× 113 1.5× 80 1.1× 61 1.0× 66 715
Scott C. Beeman United States 20 225 1.4× 130 1.6× 86 1.1× 62 0.8× 213 3.4× 40 1.0k
Ryo Takeuchi Japan 13 173 1.1× 164 2.0× 45 0.6× 38 0.5× 63 1.0× 37 679
Janice A. Zawaski United States 12 94 0.6× 121 1.5× 75 1.0× 26 0.4× 93 1.5× 22 470
Igor Pronin Russia 14 341 2.1× 78 0.9× 82 1.1× 47 0.6× 122 1.9× 151 835
Kazuhiro Koshino Japan 16 394 2.4× 116 1.4× 136 1.8× 91 1.2× 99 1.6× 53 818
Yihui Guan China 14 165 1.0× 51 0.6× 74 1.0× 112 1.5× 52 0.8× 41 509
Miaomiao Zhu China 11 102 0.6× 52 0.6× 46 0.6× 57 0.8× 63 1.0× 39 414
Karra A. Jones United States 16 209 1.3× 106 1.3× 45 0.6× 26 0.4× 118 1.9× 37 624

Countries citing papers authored by Brian J. Burkett

Since Specialization
Citations

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

Fields of papers citing papers by Brian J. Burkett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian J. Burkett. 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 Brian J. Burkett. The network helps show where Brian J. Burkett may publish in the future.

Co-authorship network of co-authors of Brian J. Burkett

This figure shows the co-authorship network connecting the top 25 collaborators of Brian J. Burkett. A scholar is included among the top collaborators of Brian J. Burkett based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian J. Burkett. Brian J. Burkett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Cogswell, Petrice M., Brian J. Burkett, Derek R. Johnson, & Jay J. Pillai. (2025). Altered Clearance and Amyloid-Related Imaging Abnormalities. Neuroimaging Clinics of North America. 35(2). 267–275.
3.
Burkett, Brian J., Ananya Panda, Karl N. Krecke, et al.. (2025). Clinical 7T MRI for Epilepsy: A Retrospective Review of 50 Cases. American Journal of Neuroradiology. 47(1). 252–261.
4.
Bilgin, Gokce Belge, Brian J. Burkett, Cem Bilgin, et al.. (2024). Neurologic Symptoms After177Lu-Prostate-Specific-Membrane Antigen-617 Therapy: A Single-Center Experience. Journal of Nuclear Medicine. 65(9). 1402–1408.
5.
Sartor, Oliver, Jacob J. Orme, Jack R. Andrews, et al.. (2024). Genomic predictors of response and resistance to 177-Lu-PSMA-617 using circulating tumor DNA.. Journal of Clinical Oncology. 42(4_suppl). 220–220. 1 indexed citations
6.
Bogsrud, Trond Velde, Andreas Stensvold, Derek R. Johnson, et al.. (2024). All that glitters is not gold: high uptake on PSMA PET in non-prostate cancers does not mean that treatment with [177Lu]Lu-PSMA-radioligand will be successful. EJNMMI Research. 14(1). 95–95. 2 indexed citations
7.
Burkett, Brian J., Derek R. Johnson, & Val J. Lowe. (2024). Evaluation of Neurodegenerative Disorders with Amyloid-β, Tau, and Dopaminergic PET Imaging: Interpretation Pitfalls. Journal of Nuclear Medicine. 65(6). 829–837. 6 indexed citations
8.
Bilgin, Gokce Belge, Cem Bilgin, Atakan Orscelik, et al.. (2024). Detection rate of gastrin-releasing peptide receptor (GRPr) targeted tracers for positron emission tomography (PET) imaging in primary prostate cancer: a systematic review and meta-analysis. Annals of Nuclear Medicine. 38(11). 865–876. 5 indexed citations
9.
Burkett, Brian J.. (2023). Single-Time-Point Dosimetry of 177Lu-PSMA-617 Radionuclide Therapy with SPECT/CT. Radiology Imaging Cancer. 5(2). e239006–e239006. 1 indexed citations
10.
Burkett, Brian J., et al.. (2023). PET and SPECT Imaging of ALS: An Educational Review. Molecular Imaging. 2023. 5864391–5864391. 6 indexed citations
11.
Burkett, Brian J., et al.. (2023). Absent Stapedial Tendon: Imaging Features of an Underrecognized Entity. Clinical Neuroradiology. 33(3). 645–651. 2 indexed citations
12.
Lee, Jeyeon, Brian J. Burkett, Hoon‐Ki Min, et al.. (2022). Deep learning-based brain age prediction in normal aging and dementia. Nature Aging. 2(5). 412–424. 102 indexed citations
13.
Burkett, Brian J., et al.. (2022). PET Imaging of Dementia. Clinical Nuclear Medicine. 47(9). 763–773. 12 indexed citations
14.
15.
Pashos, Nicholas C., David M. Graham, Brian J. Burkett, et al.. (2020). Acellular Biologic Nipple–Areolar Complex Graft: In Vivo Murine and Nonhuman Primate Host Response Evaluation. Tissue Engineering Part A. 26(15-16). 872–885. 6 indexed citations
16.
Monlezun, Dominique, et al.. (2020). Antiepileptic Drug Management in Acute Ischemic Stroke: Are Vascular Neurologists Utilizing Electroencephalograms? An Observational Cohort Study. BioMed Research International. 2020(1). 6250531–6250531. 2 indexed citations
17.
Bartlett, David J., Brian J. Burkett, Tatnai L. Burnett, et al.. (2019). Comparison of routine pelvic US and MR imaging in patients with pathologically confirmed endometriosis. Abdominal Radiology. 45(6). 1670–1679. 17 indexed citations
18.
Burkett, Brian J., Arman Arghami, Melanie C. Bois, Jerome F. Breen, & Jason R. Young. (2019). Computed tomographically guided transthoracic biopsy of a cardiac mass in the right ventricular outflow tract. Journal of Thoracic and Cardiovascular Surgery. 159(2). e115–e118. 1 indexed citations
19.
Burkett, Brian J., et al.. (2015). Modulation of BK channels contributes to activity-dependent increase of excitability through MTORC1 activity in CA1 pyramidal cells of mouse hippocampus. Frontiers in Cellular Neuroscience. 8. 451–451. 21 indexed citations
20.
Scarritt, Michelle E., Ryan W. Bonvillain, Brian J. Burkett, et al.. (2013). Hypertensive Rat Lungs Retain Hallmarks of Vascular Disease upon Decellularization but Support the Growth of Mesenchymal Stem Cells. Tissue Engineering Part A. 20(9-10). 1426–1443. 26 indexed citations

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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