Deanna Pafundi

1.7k total citations · 1 hit paper
38 papers, 1.3k citations indexed

About

Deanna Pafundi is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Radiation. According to data from OpenAlex, Deanna Pafundi has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Genetics and 16 papers in Radiation. Recurrent topics in Deanna Pafundi's work include Glioma Diagnosis and Treatment (18 papers), Advanced Radiotherapy Techniques (16 papers) and Medical Imaging Techniques and Applications (15 papers). Deanna Pafundi is often cited by papers focused on Glioma Diagnosis and Treatment (18 papers), Advanced Radiotherapy Techniques (16 papers) and Medical Imaging Techniques and Applications (15 papers). Deanna Pafundi collaborates with scholars based in United States, Czechia and Canada. Deanna Pafundi's co-authors include Debra H. Brinkmann, Wesley E. Bolch, Jonathan L. Williams, Daniel L. Lodwick, Jann N. Sarkaria, Caterina Giannini, Ian F. Parney, Nadia N. Laack, Timothy J. Kaufmann and Sani H. Kizilbash and has published in prestigious journals such as Journal of Clinical Oncology, Proceedings of the IEEE and The Lancet Oncology.

In The Last Decade

Deanna Pafundi

37 papers receiving 1.3k citations

Hit Papers

Is the blood–brain barrier really disrupted in all gliobl... 2017 2026 2020 2023 2017 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Is the blood–brain barrier really disrupted in all glioblastomas? A critical assessment of existing clinical data
    2017 504 citations Jann N. Sarkaria, Leland Hu et al. Neuro-Oncology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deanna Pafundi United States 13 607 494 335 298 236 38 1.3k
Debra H. Brinkmann United States 13 570 0.9× 589 1.2× 377 1.1× 280 0.9× 286 1.2× 42 1.4k
Kirsten Hopkins United Kingdom 17 362 0.6× 864 1.7× 428 1.3× 134 0.4× 61 0.3× 35 1.4k
Hirohito Yano Japan 22 549 0.9× 953 1.9× 396 1.2× 184 0.6× 61 0.3× 86 1.7k
Nicole Wiedenmann Germany 21 692 1.1× 376 0.8× 425 1.3× 144 0.5× 195 0.8× 46 1.4k
Matthew E. Hardee United States 17 190 0.3× 327 0.7× 185 0.6× 232 0.8× 97 0.4× 31 1.4k
Angelica Facoetti Italy 21 357 0.6× 137 0.3× 432 1.3× 98 0.3× 202 0.9× 83 1.2k
Tony J. C. Wang United States 27 440 0.7× 858 1.7× 1.2k 3.5× 210 0.7× 136 0.6× 114 2.5k
Valérie Panet-Raymond Canada 16 215 0.4× 474 1.0× 414 1.2× 112 0.4× 168 0.7× 50 1.4k
Jean‐Sébastien Guillamo France 17 321 0.5× 993 2.0× 570 1.7× 158 0.5× 48 0.2× 28 1.5k
An Claes Netherlands 13 241 0.4× 503 1.0× 253 0.8× 115 0.4× 45 0.2× 17 1.3k

Countries citing papers authored by Deanna Pafundi

Since Specialization
Citations

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

Fields of papers citing papers by Deanna Pafundi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deanna Pafundi

This figure shows the co-authorship network connecting the top 25 collaborators of Deanna Pafundi. A scholar is included among the top collaborators of Deanna Pafundi 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 Deanna Pafundi. Deanna Pafundi 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
1.
Ailawadhi, Sikander, Deanna Pafundi, & Jennifer Peterson. (2025). Advances and future directions in radiopharmaceutical delivery for cancer treatment. Expert Review of Anticancer Therapy. 25(4). 351–361. 2 indexed citations
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Laack, Nadia N., Deanna Pafundi, S. Keith Anderson, et al.. (2021). Initial Results of a Phase 2 Trial of 18F-DOPA PET-Guided Dose-Escalated Radiation Therapy for Glioblastoma. International Journal of Radiation Oncology*Biology*Physics. 110(5). 1383–1395. 40 indexed citations
5.
Monroe, James I., Timothy D. Solberg, Deanna Pafundi, et al.. (2020). NRG Oncology Survey on Practice and Technology Use in SRT and SBRT Delivery. Frontiers in Oncology. 10. 602607–602607. 11 indexed citations
6.
Mutter, Robert W., Sean S. Park, Tina J. Hieken, et al.. (2018). Carbon Fiducial Image Guidance Increases the Accuracy of Lumpectomy Cavity Localization in Radiation Therapy for Breast Cancer. Practical Radiation Oncology. 9(1). e14–e21. 1 indexed citations
7.
Kazda, Tomáš, Deanna Pafundi, Thomas B. Bradley, et al.. (2018). Dosimetric impact of amino acid positron emission tomography imaging for target delineation in radiation treatment planning for high-grade gliomas. Physics and Imaging in Radiation Oncology. 6. 94–100. 6 indexed citations
8.
Brinkmann, Debra H., Deanna Pafundi, Christopher H. Hunt, et al.. (2018). RTHP-02. IMPACT OF 18F-DOPA PET ON RADIOTHERAPY TARGET VOLUMES FOR NEWLY DIAGNOSED MGMT UNMETHYLATED GLIOBLASTOMA PATIENTS; PRELIMINARY RESULTS OF A PHASE II DOSE-ESCALATION TRIAL. Neuro-Oncology. 20(suppl_6). vi225–vi225. 1 indexed citations
9.
Sarkaria, Jann N., Leland Hu, Ian F. Parney, et al.. (2017). Is the blood–brain barrier really disrupted in all glioblastomas? A critical assessment of existing clinical data. Neuro-Oncology. 20(2). 184–191. 504 indexed citations breakdown →
10.
Mutter, Robert W., Nicholas B. Remmes, Mohamed M. Kahila, et al.. (2016). Initial clinical experience of postmastectomy intensity modulated proton therapy in patients with breast expanders with metallic ports. Practical Radiation Oncology. 7(4). e243–e252. 32 indexed citations
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Hu, Leland, Panagiotis Korfiatis, Amylou C. Dueck, et al.. (2015). Impact of Software Modeling on the Accuracy of Perfusion MRI in Glioma. American Journal of Neuroradiology. 36(12). 2242–2249. 34 indexed citations
14.
Courneyea, L., Robert L. Foote, Yolanda I. Garces, et al.. (2015). Positioning reproducibility with and without rotational corrections for 2 head and neck immobilization systems. Practical Radiation Oncology. 5(6). e575–e581. 5 indexed citations
15.
Courneyea, L., et al.. (2014). Poster — Thur Eve — 29: Characterization of Patient Immobilization for Head and Neck Cancer Treatment. Medical Physics. 41(8Part2). 12–13. 2 indexed citations
16.
Grams, Michael P., Lindsay C. Brown, Debra H. Brinkmann, et al.. (2013). Analysis of automatic match results for cone-beam computed tomography localization of conventionally fractionated lung tumors. Practical Radiation Oncology. 4(1). 35–42. 7 indexed citations
17.
Youland, Ryan S., Gaspar J. Kitange, Timothy E. Peterson, et al.. (2012). The role of LAT1 in 18F-DOPA uptake in malignant gliomas. Journal of Neuro-Oncology. 111(1). 11–18. 109 indexed citations
18.
Pafundi, Deanna, Didier A. Rajon, Derek W. Jokisch, Choonsik Lee, & Wesley E. Bolch. (2010). An image-based skeletal dosimetry model for the ICRP reference newborn—internal electron sources. Physics in Medicine and Biology. 55(7). 1785–1814. 37 indexed citations
19.
Lee, Choonsik, et al.. (2009). An Algorithm for Lymphatic Node Placement in Hybrid Computational Phantoms—Applications to Radionuclide Therapy Dosimetry. Proceedings of the IEEE. 97(12). 2098–2108. 6 indexed citations
20.
Pafundi, Deanna, Choonsik Lee, C Watchman, et al.. (2009). An image-based skeletal tissue model for the ICRP reference newborn. Physics in Medicine and Biology. 54(14). 4497–4531. 18 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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