Dominic LaBella

873 total citations
6 papers, 5 citations indexed

About

Dominic LaBella is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Dominic LaBella has authored 6 papers receiving a total of 5 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Pulmonary and Respiratory Medicine and 1 paper in Surgery. Recurrent topics in Dominic LaBella's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Acute Myeloid Leukemia Research (1 paper) and Retinoids in leukemia and cellular processes (1 paper). Dominic LaBella is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Acute Myeloid Leukemia Research (1 paper) and Retinoids in leukemia and cellular processes (1 paper). Dominic LaBella collaborates with scholars based in United States. Dominic LaBella's co-authors include Oleg Shapiro, Joseph K. Salama, Neil A. Bailey, Thomas Sanford, Maciej A. Mazurowski, Jikai Zhang, John M. Pagel, Jeffrey J. Pu, Abhishek Kumar and Jeffrey D. Rudie and has published in prestigious journals such as Journal of Clinical Oncology, American Journal of Neuroradiology and Frontiers in Oncology.

In The Last Decade

Dominic LaBella

4 papers receiving 5 citations

Peers

Dominic LaBella

PRM

EPIDE

RNMI

RM

SURGE

Gulammehdi Haji United Kingdom

Korosh Saber Iran

Valeria Balan United Kingdom

Matthew E. Prekker United States

S Corbin Trinidad and Tobago

Elodie Gat France

M. Haytmyradov United States

Dorothée Vignes France

Antonella Vasamì Italy

М. Yu. Sokolov United States

Gulammehdi Haji United Kingdom

Dominic LaBella

2 ×1.0

PRM

2 ×1.0

EPIDE

2 ×1.0

RNMI

0 ×0.0

RM

0 ×0.0

SURGE

Citations per year, relative to Dominic LaBella Dominic LaBella (= 1×) peers Gulammehdi Haji

Countries citing papers authored by Dominic LaBella

Since Specialization

Citations

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

Fields of papers citing papers by Dominic LaBella

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominic LaBella

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

All Works

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6 of 6 papers shown

1.

LaBella, Dominic. (2025). Ensemble Deep Learning Models for Automated Segmentation of Tumor and Lymph Node Volumes in Head and Neck Cancer Using Pre- and Mid-Treatment MRI: Application of Auto3DSeg and SegResNet. Lecture notes in computer science. 15273. 259–273.

2.

Zhang, Jikai, et al.. (2024). Development and Evaluation of Automated Artificial Intelligence–Based Brain Tumor Response Assessment in Patients with Glioblastoma. American Journal of Neuroradiology. 46(5). 990–998. 1 indexed citations

3.

Kumar, Abhishek, et al.. (2024). Impact of pre-treatment MRI capsular involvement and extraprostatic extension on metastasis free and overall survival in localized prostate cancer.. Journal of Clinical Oncology. 42(16_suppl). 5097–5097.

4.

LaBella, Dominic, Helmut König, Daniel Egan, et al.. (2022). The role of adjuvant chemotherapy in the management of acute promyelocytic leukemia differentiation syndrome. Frontiers in Oncology. 12. 911745–911745. 1 indexed citations

5.

LaBella, Dominic, et al.. (2021). Is There a Role for Prone Computed Tomography Before Percutaneous Nephrolithotomy?. Journal of Endourology. 36(1). 49–55. 1 indexed citations

6.

LaBella, Dominic, et al.. (2021). A Case of Primary Signet-Ring Cell Cervical Carcinoma Treated with Chemoradiation, Brachytherapy, and Adjuvant Hysterectomy. Case Reports in Obstetrics and Gynecology. 2021. 1–5. 2 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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