Nicholas Wang

2.4k total citations · 1 hit paper
28 papers, 860 citations indexed

About

Nicholas Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Physiology and Genetics. According to data from OpenAlex, Nicholas Wang has authored 28 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Physiology and 6 papers in Genetics. Recurrent topics in Nicholas Wang's work include Radiomics and Machine Learning in Medical Imaging (9 papers), Nutrition and Health in Aging (7 papers) and Glioma Diagnosis and Treatment (6 papers). Nicholas Wang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Nutrition and Health in Aging (7 papers) and Glioma Diagnosis and Treatment (6 papers). Nicholas Wang collaborates with scholars based in United States, Taiwan and Germany. Nicholas Wang's co-authors include Stewart C. Wang, Grace L. Su, Brian A. Derstine, Brian E. Ross, Sven A. Holcombe, J. A. Sullivan, John Kerrigan, Arvind Rao, Harold L. Rekate and Yu-tze Ng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Neurology.

In The Last Decade

Nicholas Wang

26 papers receiving 854 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.

Skeletal muscle cutoff values for sarcopenia diagnosis using T10 to L5 measurements in a healthy US population

2018 334 citations Brian A. Derstine, Sven A. Holcombe et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicholas Wang United States	12	457	222	212	144	90	28	860
Ulrika Asenbaum Austria	16	250 0.5×	216 1.0×	96 0.5×	194 1.3×	33 0.4×	38	877
Jonathan Cohen Israel	17	253 0.6×	226 1.0×	39 0.2×	58 0.4×	33 0.4×	43	802
Tarek Bekfani Germany	16	445 1.0×	99 0.4×	108 0.5×	56 0.4×	15 0.2×	39	1.2k
Michael Dieckmeyer Germany	20	216 0.5×	368 1.7×	17 0.1×	526 3.7×	34 0.4×	61	1.4k
André Gillibert France	16	52 0.1×	177 0.8×	30 0.1×	170 1.2×	11 0.1×	89	863
Shin‐Joe Yeh Taiwan	19	92 0.2×	108 0.5×	18 0.1×	26 0.2×	100 1.1×	61	935
Akiyoshi Hashimoto Japan	25	229 0.5×	231 1.0×	75 0.4×	1.1k 7.4×	27 0.3×	112	2.2k
Toshio Shimokawa Japan	19	139 0.3×	634 2.9×	46 0.2×	81 0.6×	16 0.2×	129	1.4k
Shane Shahrestani United States	16	29 0.1×	374 1.7×	77 0.4×	55 0.4×	14 0.2×	108	751
Samuel P. Yap United States	8	219 0.5×	216 1.0×	7 0.0×	235 1.6×	24 0.3×	9	1.1k

Countries citing papers authored by Nicholas Wang

Since Specialization

Citations

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

Fields of papers citing papers by Nicholas Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Wang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Han, Ben C.B. Ko, Nicholas Wang, et al.. (2024). Tuning 1,3-Butadiene selectivity from ethanol in a tandem reaction with induction heating. Chemical Engineering Journal. 503. 158302–158302. 1 indexed citations

Wang, Han, Ben C.B. Ko, Nicholas Wang, et al.. (2024). Efficient conversion of ethanol to acetaldehyde with induction heating at low temperature. Chemical Engineering Journal. 496. 154187–154187. 5 indexed citations

Derstine, Brian A., Sven A. Holcombe, Nicholas Wang, et al.. (2024). Relative muscle indices and healthy reference values for sarcopenia assessment using T10 through L5 computed tomography skeletal muscle area. Scientific Reports. 14(1). 4 indexed citations

Warner, Elisa, Joonsang Lee, Nicholas Wang, et al.. (2023). Low-parameter supervised learning models can discriminate pseudoprogression and true progression in non-perfusion-based MRI. PubMed. 2023. 1–4.

Türk, Sevcan, Nicholas Wang, Shariq Mohammed, et al.. (2022). Comparative study of radiologists vs machine learning in differentiating biopsy-proven pseudoprogression and true progression in diffuse gliomas. SHILAP Revista de lepidopterología. 2(3). 100088–100088. 3 indexed citations

Derstine, Brian A., Sven A. Holcombe, Brian E. Ross, et al.. (2022). Healthy US population reference values for CT visceral fat measurements and the impact of IV contrast, HU range, and spinal levels. Scientific Reports. 12(1). 2374–2374. 21 indexed citations

Wang, Nicholas, Douglas C. Noll, Ashok Srinivasan, et al.. (2022). Simulated MRI Artifacts: Testing Machine Learning Failure Modes. SHILAP Revista de lepidopterología. 2022. 9807590–9807590. 7 indexed citations

Zou, Winnie Y., Peng Zhang, Sameer D. Saini, et al.. (2021). Automated Measurements of Body Composition in Abdominal CT Scans Using Artificial Intelligence Can Predict Mortality in Patients With Cirrhosis. Hepatology Communications. 5(11). 1901–1910. 19 indexed citations

Prabhudesai, Snehal, Nicholas Wang, Xun Huan, et al.. (2021). Stratification by Tumor Grade Groups in a Holistic Evaluation of Machine Learning for Brain Tumor Segmentation. Frontiers in Neuroscience. 15. 740353–740353. 9 indexed citations

10.

Wang, Nicholas, Jeremy Kaplan, Joonsang Lee, et al.. (2021). Stress Testing Pathology Models with Generated Artifacts. Journal of Pathology Informatics. 12(1). 54–54. 7 indexed citations

11.

Derstine, Brian A., Sven A. Holcombe, Brian E. Ross, et al.. (2021). Optimal body size adjustment of L3 CT skeletal muscle area for sarcopenia assessment. Scientific Reports. 11(1). 279–279. 55 indexed citations

12.

Lee, Joonsang, Nicholas Wang, Sevcan Türk, et al.. (2020). Discriminating pseudoprogression and true progression in diffuse infiltrating glioma using multi-parametric MRI data through deep learning. Scientific Reports. 10(1). 20331–20331. 49 indexed citations

13.

Wang, Nicholas, Peng Zhang, Elliot B. Tapper, et al.. (2020). Automated Measurements of Muscle Mass Using Deep Learning Can Predict Clinical Outcomes in Patients With Liver Disease. The American Journal of Gastroenterology. 115(8). 1210–1216. 24 indexed citations

14.

Wang, Nicholas, et al.. (2019). Prediction of 1p/19q Codeletion in Diffuse Glioma Patients Using Pre-operative Multiparametric Magnetic Resonance Imaging. Frontiers in Computational Neuroscience. 13. 52–52. 21 indexed citations

15.

Eliason, Jonathan L., Brian A. Derstine, Nicholas Wang, et al.. (2019). Computed tomography correlation of skeletal landmarks and vascular anatomy in civilian adult trauma patients: Implications for resuscitative endovascular balloon occlusion of the aorta. The Journal of Trauma: Injury, Infection, and Critical Care. 87(1S). S138–S145. 16 indexed citations

16.

Chu, Sung‐Yu, Nicholas Wang, Yen-Ling Huang, et al.. (2019). Comparisons of Manual Tape Measurement and Morphomics Measurement of Patients with Upper Extremity Lymphedema. Plastic & Reconstructive Surgery Global Open. 7(10). e2431–e2431.

17.

Derstine, Brian A., Sven A. Holcombe, Brian E. Ross, et al.. (2018). Skeletal muscle cutoff values for sarcopenia diagnosis using T10 to L5 measurements in a healthy US population. Scientific Reports. 8(1). 11369–11369. 334 indexed citations breakdown →

18.

Derstine, Brian A., Sven A. Holcombe, Brian E. Ross, et al.. (2017). Quantifying Sarcopenia Reference Values Using Lumbar and Thoracic Muscle Areas in a Healthy Population. The journal of nutrition health & aging. 22(1). 180–185. 112 indexed citations

19.

Englesbe, Michael J., J. A. Sullivan, Brian A. Derstine, et al.. (2017). The Michigan Surgical Home and Optimization Program is a scalable model to improve care and reduce costs. Surgery. 161(6). 1659–1666. 46 indexed citations

20.

Parenteau, Chantal S., Nicholas Wang, Peng Zhang, Michelle S. Caird, & Stewart C. Wang. (2013). Quantification of Pediatric and Adult Cervical Vertebra—Anatomical Characteristics by Age and Gender for Automotive Application. Traffic Injury Prevention. 15(6). 572–582. 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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