Henry Z. Wang

2.1k total citations
30 papers, 882 citations indexed

About

Henry Z. Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Neurology. According to data from OpenAlex, Henry Z. Wang has authored 30 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Pulmonary and Respiratory Medicine and 5 papers in Neurology. Recurrent topics in Henry Z. Wang's work include Advanced Neuroimaging Techniques and Applications (8 papers), MRI in cancer diagnosis (7 papers) and Neurological Complications and Syndromes (3 papers). Henry Z. Wang is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (8 papers), MRI in cancer diagnosis (7 papers) and Neurological Complications and Syndromes (3 papers). Henry Z. Wang collaborates with scholars based in United States, China and Canada. Henry Z. Wang's co-authors include Yuji Numaguchi, David A. Shrier, Akio Hiwatashi, Per‐Lennart Westesson, Toshio Moritani, Toshibumi Kinoshita, Amir Abdolahi, Edwin van Wijngaarden, Ute Bartels and Mary Kay Koenig and has published in prestigious journals such as Nature Medicine, Radiology and Journal of neurosurgery.

In The Last Decade

Henry Z. Wang

30 papers receiving 865 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Henry Z. Wang United States 16 258 215 159 154 138 30 882
Wibke Müller‐Forell Germany 22 375 1.5× 159 0.7× 182 1.1× 144 0.9× 133 1.0× 67 1.3k
Georgios Velonakis Greece 18 488 1.9× 172 0.8× 172 1.1× 174 1.1× 102 0.7× 131 1.1k
Claudia Cinnante Italy 18 237 0.9× 99 0.5× 123 0.8× 85 0.6× 134 1.0× 71 889
Pierre Brugières France 16 270 1.0× 179 0.8× 199 1.3× 219 1.4× 73 0.5× 42 1.2k
Ayşe Aralaşmak Türkiye 18 303 1.2× 346 1.6× 131 0.8× 77 0.5× 49 0.4× 79 1.0k
C. Di Biasi Italy 19 205 0.8× 155 0.7× 63 0.4× 72 0.5× 88 0.6× 61 894
Jared Narvid United States 19 643 2.5× 144 0.7× 264 1.7× 77 0.5× 180 1.3× 47 1.3k
Kunal P. Raygor United States 14 361 1.4× 179 0.8× 302 1.9× 67 0.4× 211 1.5× 61 1.0k
Cláudia da Costa Leite Brazil 17 280 1.1× 248 1.2× 100 0.6× 60 0.4× 130 0.9× 77 1.0k
Aurélie Kas France 15 153 0.6× 180 0.8× 274 1.7× 251 1.6× 220 1.6× 34 814

Countries citing papers authored by Henry Z. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Henry Z. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Henry Z. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Henry Z. Wang. A scholar is included among the top collaborators of Henry Z. 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 Henry Z. Wang. Henry Z. Wang 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.
Chen, Hongyan, Guirong Tan, Lijuan Zhong, et al.. (2024). MR perfusion characteristics of pseudoprogression in brain tumors treated with immunotherapy – a comparative study with chemo-radiation induced pseudoprogression and radiation necrosis. Journal of Neuro-Oncology. 172(1). 239–247. 2 indexed citations
2.
Singh, Meera V., Md Nasir Uddin, Madalina E. Tivarus, et al.. (2024). Non-classical monocyte levels correlate negatively with HIV-associated cerebral small vessel disease and cognitive performance. Frontiers in Cellular and Infection Microbiology. 14. 1405431–1405431. 1 indexed citations
3.
4.
Stubbs, Jacob L., Joseph J. Taylor, Shan H. Siddiqi, et al.. (2023). Heterogeneous neuroimaging findings across substance use disorders localize to a common brain network. Nature Mental Health. 1(10). 772–781. 15 indexed citations
5.
Coyte, Rachel, Thomas H. Darrah, John W. Olesik, et al.. (2023). Gadolinium during human pregnancy following administration of gadolinium chelate before pregnancy. Birth Defects Research. 115(14). 1264–1273. 1 indexed citations
6.
Khan, Muhammad Waqas, et al.. (2023). A case of spontaneous basal ganglia hemorrhage with contralateral extension utilizing the canal of Gratiolet. BMC Neurology. 23(1). 190–190. 3 indexed citations
7.
Uddin, Md Nasir, Madalina E. Tivarus, Bogachan Sahin, et al.. (2021). Increased risk for cerebral small vessel disease is associated with quantitative susceptibility mapping in HIV infected and uninfected individuals. NeuroImage Clinical. 32. 102786–102786. 13 indexed citations
8.
Singh, Meera V., Md Nasir Uddin, Xing Qiu, et al.. (2020). Pathomechanisms of HIV-Associated Cerebral Small Vessel Disease: A Comprehensive Clinical and Neuroimaging Protocol and Analysis Pipeline. Frontiers in Neurology. 11. 595463–595463. 9 indexed citations
9.
Liu, Xiang, Wei Tian, Balasubramanya Kolar, et al.. (2019). The correlation of fractional anisotropy parameters with Ki-67 index, and the clinical implication in grading of non-enhancing gliomas and neuronal-glial tumors. Magnetic Resonance Imaging. 65. 129–135. 3 indexed citations
10.
Liu, Xiang, et al.. (2016). Advanced Neuroimaging in the Evaluation of Spinal Cord Tumors and Tumor Mimics: Diffusion Tensor and Perfusion-Weighted Imaging. Seminars in Ultrasound CT and MRI. 38(2). 163–175. 11 indexed citations
11.
Abdolahi, Amir, Geoffrey C. Williams, Curtis Benesch, et al.. (2015). Smoking cessation behaviors three months following acute insular damage from stroke. Addictive Behaviors. 51. 24–30. 25 indexed citations
12.
Jain, Minal, et al.. (2015). 64-detector CT angiography within 24 hours after carotid endarterectomy and correlation with postoperative stroke. Journal of neurosurgery. 122(3). 637–643. 2 indexed citations
13.
14.
Yeaney, Gabrielle, Balasubramanya Kolar, Howard J. Silberstein, & Henry Z. Wang. (2010). Case 163: Solitary Neurocysticercosis. Radiology. 257(2). 581–585. 11 indexed citations
15.
Wang, Henry Z., et al.. (2010). Coup de Sabre Presenting With Worsening Diplopia and Enophthalmos. Ophthalmic Plastic and Reconstructive Surgery. 27(4). e97–e98. 5 indexed citations
16.
Ginat, Daniel Thomas, Rajiv Mangla, Gabrielle Yeaney, & Henry Z. Wang. (2010). Correlation of Diffusion and Perfusion MRI With Ki-67 in High-Grade Meningiomas. American Journal of Roentgenology. 195(6). 1391–1395. 46 indexed citations
17.
Kinoshita, Toshibumi, Toshio Moritani, Akio Hiwatashi, et al.. (2005). Conspicuity of diffuse axonal injury lesions on diffusion-weighted MR imaging. European Journal of Radiology. 56(1). 5–11. 27 indexed citations
18.
Moritani, Toshio, Akio Hiwatashi, David A. Shrier, et al.. (2004). CNS vasculitis and vasculopathy. Clinical Imaging. 28(4). 261–270. 52 indexed citations
19.
Wang, Henry Z., et al.. (2001). Brain MR Imaging in the Evaluation of Chronic Headache in Patients without Other Neurologic Symptoms. Academic Radiology. 8(5). 405–408. 55 indexed citations
20.
Moritani, Toshio, David A. Shrier, Yuji Numaguchi, et al.. (2001). Diffusion-Weighted Echo-Planar MR Imaging of CNS Involvement in Systemic Lupus Erythematosus. Academic Radiology. 8(8). 741–753. 32 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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