Terence Burns

1.0k total citations · 1 hit paper
9 papers, 668 citations indexed

About

Terence Burns is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Terence Burns has authored 9 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 5 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Cancer Research. Recurrent topics in Terence Burns's work include Glioma Diagnosis and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and MRI in cancer diagnosis (3 papers). Terence Burns is often cited by papers focused on Glioma Diagnosis and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and MRI in cancer diagnosis (3 papers). Terence Burns collaborates with scholars based in United States and Australia. Terence Burns's co-authors include Ian F. Parney, Sani H. Kizilbash, Janice K. Laramy, Paul D. Brown, Nadia N. Laack, William F. Elmquist, Kristin R. Swanson, Deanna Pafundi, Evanthia Galanis and Caterina Giannini and has published in prestigious journals such as Cancer Research, Neuro-Oncology and Journal of Neuro-Oncology.

In The Last Decade

Terence Burns

8 papers receiving 664 citations

Hit Papers

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

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Terence Burns United States 6 307 192 157 134 99 9 668
Janice K. Laramy United States 9 312 1.0× 228 1.2× 164 1.0× 227 1.7× 71 0.7× 11 702
Lauren Schaff United States 11 490 1.6× 280 1.5× 116 0.7× 161 1.2× 88 0.9× 46 966
Montserrat Lara‐Velazquez United States 14 257 0.8× 253 1.3× 134 0.9× 88 0.7× 39 0.4× 28 657
Luiz Gustavo Dubois Brazil 16 308 1.0× 423 2.2× 122 0.8× 158 1.2× 42 0.4× 20 889
Karen E. Parrish United States 14 276 0.9× 309 1.6× 116 0.7× 315 2.4× 41 0.4× 21 734
David Cory Adamson United States 15 344 1.1× 481 2.5× 111 0.7× 162 1.2× 51 0.5× 31 992
Valerie L. Jacobs United States 10 259 0.8× 111 0.6× 298 1.9× 69 0.5× 130 1.3× 16 703
Donita Lightner United States 7 571 1.9× 375 2.0× 143 0.9× 139 1.0× 152 1.5× 14 1.1k
Bahar Yetkin-Arik Netherlands 8 274 0.9× 526 2.7× 315 2.0× 172 1.3× 68 0.7× 11 1.1k
Sarah Lapointe Canada 5 438 1.4× 485 2.5× 105 0.7× 125 0.9× 134 1.4× 18 1.1k

Countries citing papers authored by Terence Burns

Since Specialization
Citations

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

Fields of papers citing papers by Terence Burns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Terence Burns

This figure shows the co-authorship network connecting the top 25 collaborators of Terence Burns. A scholar is included among the top collaborators of Terence Burns 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 Terence Burns. Terence Burns is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
2.
Domingo, Ricardo A., Carlos Perez‐Vega, Oluwaseun O. Akinduro, et al.. (2022). The early infiltrative phase of GBM hypothesis: are molecular glioblastomas histological glioblastomas in the making? A preliminary multicenter study. Journal of Neuro-Oncology. 158(3). 497–506. 7 indexed citations
3.
Perez‐Vega, Carlos, Ricardo A. Domingo, Oluwaseun O. Akinduro, et al.. (2022). The survival outcomes of molecular glioblastoma IDH-wildtype: a multicenter study. Journal of Neuro-Oncology. 157(1). 177–185. 34 indexed citations
4.
Kouzani, Abbas Z., Kevin E. Bennet, Ludovic F. Dumée, et al.. (2021). Microdialysis and microperfusion electrodes in neurologic disease monitoring. Fluids and Barriers of the CNS. 18(1). 52–52. 15 indexed citations
5.
Gerdes, Erin O. Wissler, Yi Zhu, Bettina M. Weigand, et al.. (2020). Cellular senescence in aging and age-related diseases: Implications for neurodegenerative diseases. International review of neurobiology. 155. 203–234. 73 indexed citations
6.
Mark, Ian T., David F. Black, David R. DeLone, et al.. (2020). Higher temporal resolution multiband fMRI provides improved presurgical language maps. Neuroradiology. 63(3). 439–445. 4 indexed citations
7.
Goyal, Anshit, Yagiz U. Yolcu, Panagiotis Kerezoudis, et al.. (2019). The T2-FLAIR–mismatch sign as an imaging biomarker for IDH and 1p/19q status in diffuse low-grade gliomas: a systematic review with a Bayesian approach to evaluation of diagnostic test performance. Neurosurgical FOCUS. 47(6). E13–E13. 30 indexed citations
8.
Jackson, Pamela, Andrea Hawkins‐Daarud, Kyle Singleton, et al.. (2019). SCIDOT-16. T2-WEIGHTED IMAGING MAY BE INDICATIVE OF DRUG DISTRIBUTION IN GLIOBLASTOMA PATIENTS. Neuro-Oncology. 21(Supplement_6). vi274–vi275. 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 →

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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