Daniel Kargilis

402 total citations · 1 hit paper
12 papers, 265 citations indexed

About

Daniel Kargilis is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Orthopedics and Sports Medicine. According to data from OpenAlex, Daniel Kargilis has authored 12 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Neurology and 4 papers in Orthopedics and Sports Medicine. Recurrent topics in Daniel Kargilis's work include Bone health and osteoporosis research (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Bone health and treatments (3 papers). Daniel Kargilis is often cited by papers focused on Bone health and osteoporosis research (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Bone health and treatments (3 papers). Daniel Kargilis collaborates with scholars based in United States, China and Sweden. Daniel Kargilis's co-authors include Chamith S. Rajapakse, Katheryn A Q Cousins, Yan Xu, Kurt R. Brunden, Virginia M.‐Y. Lee, Jae Sung Lee, Sílvia Porta, Edward B. Lee, Abdullah Al-Zaghal and Michael W. Hast and has published in prestigious journals such as Acta Neuropathologica, Bone and Physics in Medicine and Biology.

In The Last Decade

Daniel Kargilis

11 papers receiving 262 citations

Hit Papers

align trajectories

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.

The Effect of Inflammation on Bone

2021 159 citations Daniel Kargilis, Chamith S. Rajapakse et al. Frontiers in Physiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Kargilis United States	7	69	63	61	47	39	12	265
Khaled Meknas Norway	10	114 1.7×	44 0.7×	199 3.3×	40 0.9×	26 0.7×	16	367
Jiewen Jin China	11	18 0.3×	100 1.6×	92 1.5×	47 1.0×	29 0.7×	31	321
Guangcheng Zhang China	11	58 0.8×	110 1.7×	191 3.1×	54 1.1×	60 1.5×	27	520
Yuichiro Enoki Japan	12	28 0.4×	88 1.4×	47 0.8×	44 0.9×	114 2.9×	25	313
Peter Kastner Germany	12	28 0.4×	84 1.3×	58 1.0×	15 0.3×	43 1.1×	20	386
Kaixiang Yang China	10	18 0.3×	71 1.1×	67 1.1×	99 2.1×	39 1.0×	22	292
Hajime Yamanaka Japan	11	34 0.5×	23 0.4×	143 2.3×	34 0.7×	38 1.0×	18	300
Xiaoqiang Wang China	11	99 1.4×	60 1.0×	94 1.5×	13 0.3×	13 0.3×	23	288
T Sugimoto Japan	11	41 0.6×	85 1.3×	88 1.4×	23 0.5×	49 1.3×	21	327

Countries citing papers authored by Daniel Kargilis

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Kargilis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Kargilis

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

All Works

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12 of 12 papers shown

1.

Zhang, Hanwen, Daniel Kargilis, Thomas F. Tropea, et al.. (2025). Calcium modulating ligand confers risk for Parkinson's disease and impacts lysosomes. Annals of Clinical and Translational Neurology. 12(5). 925–937. 1 indexed citations

2.

Dai, Yong, Rong Hu, Chen Zhang, et al.. (2025). Prediction of Motor Symptom Progression of Parkinson’s Disease Through Multimodal Imaging-Based Machine Learning. Journal of Imaging Informatics in Medicine.

3.

Leary, Owen P., Yuwei Dai, Kevin Ma, et al.. (2024). MRI-Based Prediction of Clinical Improvement after Ventricular Shunt Placement for Normal Pressure Hydrocephalus: Development and Evaluation of an Integrated Multisequence Machine Learning Algorithm. American Journal of Neuroradiology. 45(10). 1536–1544. 4 indexed citations

4.

Kargilis, Daniel, et al.. (2024). Deep learning segmentation of mandible with lower dentition from cone beam CT. Oral Radiology. 41(1). 1–9. 1 indexed citations

5.

Kargilis, Daniel, et al.. (2023). Conquering the Cobb Angle: A Deep Learning Algorithm for Automated, Hardware-Invariant Measurement of Cobb Angle on Radiographs in Patients with Scoliosis. Radiology Artificial Intelligence. 5(4). e220158–e220158. 10 indexed citations

6.

Kargilis, Daniel, et al.. (2023). Predicting Fractures Using Vertebral 18F-NaF Uptake in Prostate Cancer Patients. Journal of Bone Metabolism. 30(4). 329–337. 2 indexed citations

7.

Hu, Rong, Daniel Kargilis, Lei Tang, et al.. (2023). Head and neck tumor segmentation convolutional neural network robust to missing PET/CT modalities using channel dropout. Physics in Medicine and Biology. 68(9). 95011–95011. 6 indexed citations

8.

Hu, Rong, et al.. (2022). Radiomic‐Based MRI for Classification of Solitary Brain Metastases Subtypes From Primary Lymphoma of the Central Nervous System. Journal of Magnetic Resonance Imaging. 57(1). 227–235. 6 indexed citations

9.

Kargilis, Daniel, et al.. (2021). The Effect of Inflammation on Bone. Frontiers in Physiology. 11. 511799–511799. 159 indexed citations breakdown →

10.

Uemura, Maiko, John Robinson, Katheryn A Q Cousins, et al.. (2021). Distinct characteristics of limbic-predominant age-related TDP-43 encephalopathy in Lewy body disease. Acta Neuropathologica. 143(1). 15–31. 35 indexed citations

11.

Rajapakse, Chamith S., Daniel Kargilis, Brandon C. Jones, et al.. (2020). MRI-based assessment of proximal femur strength compared to mechanical testing. Bone. 133. 115227–115227. 21 indexed citations

12.

Raynor, William, Daniel Kargilis, Jae Sung Lee, et al.. (2018). Diagnosis and Monitoring of Osteoporosis With 18F-Sodium Fluoride PET: An Unavoidable Path for the Foreseeable Future. Seminars in Nuclear Medicine. 48(6). 535–540. 20 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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