Allison Lowman

805 total citations
21 papers, 187 citations indexed

About

Allison Lowman is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Allison Lowman has authored 21 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Pulmonary and Respiratory Medicine and 8 papers in Genetics. Recurrent topics in Allison Lowman's work include Radiomics and Machine Learning in Medical Imaging (14 papers), Prostate Cancer Diagnosis and Treatment (8 papers) and Glioma Diagnosis and Treatment (8 papers). Allison Lowman is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (14 papers), Prostate Cancer Diagnosis and Treatment (8 papers) and Glioma Diagnosis and Treatment (8 papers). Allison Lowman collaborates with scholars based in United States, Bulgaria and Thailand. Allison Lowman's co-authors include Peter S. LaViolette, Anjishnu Banerjee, Samuel Bobholz, Sean D. McGarry, Kenneth A. Iczkowski, Michael Brehler, John D. Bukowy, Wade M. Mueller, Kenneth Jacobsohn and Andrew S. Nencka and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Neurosurgery.

In The Last Decade

Allison Lowman

21 papers receiving 186 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Allison Lowman United States 8 145 73 49 46 22 21 187
Aditi Iyer United States 9 236 1.6× 83 1.1× 49 1.0× 33 0.7× 58 2.6× 16 291
Lizhi Shao China 9 174 1.2× 91 1.2× 72 1.5× 12 0.3× 25 1.1× 28 244
Chi Wah Wong United States 10 145 1.0× 125 1.7× 37 0.8× 29 0.6× 16 0.7× 22 255
Beiyi Shen United States 6 169 1.2× 59 0.8× 61 1.2× 13 0.3× 9 0.4× 9 238
Marko Grahovac Austria 7 175 1.2× 41 0.6× 40 0.8× 36 0.8× 62 2.8× 12 206
Gaia Ninatti Italy 8 182 1.3× 72 1.0× 49 1.0× 36 0.8× 51 2.3× 18 249
David Molina-García Spain 8 93 0.6× 43 0.6× 10 0.2× 31 0.7× 29 1.3× 10 146
Taman Upadhaya France 6 103 0.7× 26 0.4× 58 1.2× 18 0.4× 24 1.1× 12 142
Alonso García-Ruiz Spain 9 206 1.4× 68 0.9× 23 0.5× 72 1.6× 56 2.5× 15 259

Countries citing papers authored by Allison Lowman

Since Specialization
Citations

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

Fields of papers citing papers by Allison Lowman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Allison Lowman

This figure shows the co-authorship network connecting the top 25 collaborators of Allison Lowman. A scholar is included among the top collaborators of Allison Lowman 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 Allison Lowman. Allison Lowman 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.
Bobholz, Samuel, Allison Lowman, Jennifer Connelly, et al.. (2025). Multi-site retrospective analysis of diffusion and perfusion magnetic resonance imaging correlates to glioma characteristics derived from radio-pathomic maps. Neuro-Oncology. 27(7). 1899–1909. 3 indexed citations
2.
Bobholz, Samuel, et al.. (2025). Comparison of intensity normalization methods in prostate, brain, and breast cancer multi-parametric magnetic resonance imaging. Frontiers in Oncology. 15. 1433444–1433444. 1 indexed citations
3.
Bobholz, Samuel, J Hamburger, Allison Lowman, et al.. (2024). Radio-pathomic maps of glioblastoma identify phenotypes of non-enhancing tumor infiltration associated with bevacizumab treatment response. Journal of Neuro-Oncology. 167(2). 233–241. 6 indexed citations
4.
Bobholz, Samuel, Allison Lowman, Jennifer Connelly, et al.. (2024). Noninvasive Autopsy-Validated Tumor Probability Maps Identify Glioma Invasion Beyond Contrast Enhancement. Neurosurgery. 95(3). 537–547. 4 indexed citations
5.
Das, Dipankar, Angela Julian, Vahan Martirosian, et al.. (2023). Breast‐to‐brain metastasis is exacerbated with chemotherapy through blood–cerebrospinal fluid barrier and induces Alzheimer's‐like pathology. Journal of Neuroscience Research. 101(12). 1900–1913. 7 indexed citations
6.
Brehler, Michael, Samuel Bobholz, Allison Lowman, et al.. (2023). Comparison of a machine and deep learning model for automated tumor annotation on digitized whole slide prostate cancer histology. PLoS ONE. 18(3). e0278084–e0278084. 7 indexed citations
7.
Bobholz, Samuel, et al.. (2023). Whole slide imaging (WSI) scanner differences influence optical and computed properties of digitized prostate cancer histology. Journal of Pathology Informatics. 14. 100321–100321. 12 indexed citations
8.
Bobholz, Samuel, Michael Barrett, Allison Lowman, et al.. (2023). T2-Weighted MRI Radiomic Features Predict Prostate Cancer Presence and Eventual Biochemical Recurrence. Cancers. 15(18). 4437–4437. 7 indexed citations
9.
Brehler, Michael, Allison Lowman, Samuel Bobholz, et al.. (2023). Quantitative Histomorphometric Features of Prostate Cancer Predict Patients Who Biochemically Recur Following Prostatectomy. Laboratory Investigation. 103(12). 100269–100269. 2 indexed citations
10.
Bobholz, Samuel, Allison Lowman, Michael Brehler, et al.. (2022). Radio-Pathomic Maps of Cell Density Identify Brain Tumor Invasion beyond Traditional MRI-Defined Margins. American Journal of Neuroradiology. 43(5). 682–688. 20 indexed citations
11.
Lowman, Allison, et al.. (2022). Homologous point transformer for multi-modality prostate image registration. PeerJ Computer Science. 8. e1155–e1155. 2 indexed citations
12.
Bobholz, Samuel, Allison Lowman, Michael Brehler, et al.. (2022). Diffusion Restriction Comparison between Gleason 4 Fused Glands and Cribriform Glands within Patient Using Whole-Mount Prostate Pathology as Ground Truth. Tomography. 8(2). 635–643. 3 indexed citations
13.
Brehler, Michael, Allison Lowman, Samuel Bobholz, et al.. (2022). An automated approach for annotating Gleason patterns in whole-mount prostate cancer histology using deep learning. 54–54. 1 indexed citations
14.
Lowman, Allison, Samuel Bobholz, Jennifer Connelly, et al.. (2021). Measurement of treatment dependent glioblastoma cell density in T1- weighted contrast enhancement at autopsy.. Journal of Clinical Oncology. 39(15_suppl). e14035–e14035. 1 indexed citations
15.
Bobholz, Samuel, Allison Lowman, Michael Brehler, et al.. (2020). Radiomic Features of Multiparametric MRI Present Stable Associations with Analogous Histological Features in Patients with Brain Cancer. Tomography. 6(2). 160–169. 33 indexed citations
16.
Bukowy, John D., Sean D. McGarry, Allison Lowman, et al.. (2020). Accurate segmentation of prostate cancer histomorphometric features using a weakly supervised convolutional neural network. Journal of Medical Imaging. 7(5). 57501–57501. 9 indexed citations
17.
McGarry, Sean D., John D. Bukowy, Kenneth A. Iczkowski, et al.. (2020). Radio-pathomic mapping model generated using annotations from five pathologists reliably distinguishes high-grade prostate cancer. Journal of Medical Imaging. 7(5). 54501–54501. 14 indexed citations
18.
McGarry, Sean D., John D. Bukowy, Kenneth A. Iczkowski, et al.. (2019). Gleason Probability Maps: A Radiomics Tool for Mapping Prostate Cancer Likelihood in MRI Space. Tomography. 5(1). 127–134. 41 indexed citations
19.
Bukowy, John D., Sean D. McGarry, Andrew S. Nencka, et al.. (2019). Classification before Segmentation: Improved U-Net Prostate Segmentation. 1–4. 8 indexed citations
20.
Lowman, Allison, et al.. (1988). Primary Pericardial Mesothelioma: Diagnostic and Therapeutic Challenges in Management. Southern Medical Journal. 81(4). 537–538. 5 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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