Lei Wang

17.9k total citations
293 papers, 8.8k citations indexed

About

Lei Wang is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Lei Wang has authored 293 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Cognitive Neuroscience, 103 papers in Radiology, Nuclear Medicine and Imaging and 97 papers in Psychiatry and Mental health. Recurrent topics in Lei Wang's work include Functional Brain Connectivity Studies (97 papers), Advanced Neuroimaging Techniques and Applications (81 papers) and Dementia and Cognitive Impairment Research (53 papers). Lei Wang is often cited by papers focused on Functional Brain Connectivity Studies (97 papers), Advanced Neuroimaging Techniques and Applications (81 papers) and Dementia and Cognitive Impairment Research (53 papers). Lei Wang collaborates with scholars based in United States, China and Canada. Lei Wang's co-authors include John G. Csernansky, Michael I. Miller, Mokhtar H. Gado, Mirza Faisal Beg, John C. Morris, Sarang Joshi, J. Philip Miller, Deanna M. Barch, Michael P. Harms and Daniel Mamah and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Circulation.

In The Last Decade

Lei Wang

275 papers receiving 8.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lei Wang United States 51 3.3k 2.6k 2.4k 1.5k 1.1k 293 8.8k
Kiralee M. Hayashi United States 35 5.1k 1.5× 3.1k 1.2× 2.3k 1.0× 1.5k 1.0× 884 0.8× 46 10.6k
Christine Fennema‐Notestine United States 50 5.1k 1.6× 3.3k 1.3× 2.5k 1.0× 1.6k 1.1× 777 0.7× 158 10.1k
Stephen Rose Australia 46 2.3k 0.7× 2.3k 0.9× 3.7k 1.5× 1.0k 0.7× 720 0.6× 227 8.8k
M. Mallar Chakravarty Canada 60 5.2k 1.6× 2.5k 1.0× 3.4k 1.4× 1.2k 0.8× 943 0.8× 347 12.6k
Gerard R. Ridgway United Kingdom 44 4.2k 1.3× 2.4k 0.9× 4.0k 1.7× 1.5k 1.0× 635 0.6× 107 10.0k
Christian Haselgrove United States 13 4.1k 1.2× 2.2k 0.8× 2.6k 1.1× 973 0.6× 392 0.3× 32 7.9k
Rahul S. Desikan United States 32 7.0k 2.1× 3.1k 1.2× 3.7k 1.5× 1.8k 1.2× 765 0.7× 49 11.7k
Josephine Barnes United Kingdom 46 2.2k 0.7× 3.0k 1.2× 1.9k 0.8× 2.3k 1.5× 649 0.6× 129 7.3k
Evelina Busa United States 12 5.7k 1.7× 2.8k 1.1× 3.9k 1.6× 1.2k 0.8× 449 0.4× 15 10.7k
Howard Aizenstein United States 64 5.1k 1.6× 5.4k 2.1× 2.8k 1.1× 3.4k 2.3× 791 0.7× 340 15.1k

Countries citing papers authored by Lei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Wang. A scholar is included among the top collaborators of Lei 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 Lei Wang. Lei 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.
Zhang, Wenjing, Ruofan Huang, Jiahao Chen, et al.. (2025). Bisphenol A exposure induces polycystic ovarian syndrome phenotype B and reduces fertility in adolescent female rats. Reproductive BioMedicine Online. 51(1). 104831–104831. 1 indexed citations
2.
Wang, Lei, et al.. (2024). Crosstalk between the nervous system and tumor microenvironment: Functional aspects and potential therapeutic strategies. Cancer Letters. 594. 216986–216986. 24 indexed citations
3.
Wu, Mingxing, Haobo Huang, Lei Wang, et al.. (2024). Calcified Nodules in Non-Culprit Lesions with Acute Coronary Syndrome Patients. Reviews in Cardiovascular Medicine. 25(4). 136–136. 2 indexed citations
4.
5.
Ma, Da, Sieun Lee, Karteek Popuri, et al.. (2023). Predicting Alzheimer’s disease progression in healthy and MCI subjects using multi‐modal deep learning approach. Alzheimer s & Dementia. 19(S2). 1 indexed citations
6.
Ma, Da, Sieun Lee, Karteek Popuri, et al.. (2022). Predicting time-to-conversion for dementia of Alzheimer's type using multi-modal deep survival analysis. Neurobiology of Aging. 121. 139–156. 17 indexed citations
7.
Wang, Lei, et al.. (2022). MicroRNA-139-5p acts as a suppressor gene for depression by targeting nuclear receptor subfamily 3, group C, member 1. Bioengineered. 13(5). 11856–11866. 9 indexed citations
8.
Wang, Lei, et al.. (2022). Characteristics of infantile convulsions and choreoathetosis syndrome caused by PRRT2 mutation. Pediatric Investigation. 6(1). 11–15. 4 indexed citations
9.
Wang, Ying, Ivan C. Zibrandtsen, R.H.C. Lazeron, et al.. (2021). Pitfalls in EEG Analysis in Patients With Nonconvulsive Status Epilepticus: A Preliminary Study. Clinical EEG and Neuroscience. 54(3). 255–264.
10.
Chen, Jiayu, Xiang Li, Vince D. Calhoun, et al.. (2021). Sparse deep neural networks on imaging genetics for schizophrenia case–control classification. Human Brain Mapping. 42(8). 2556–2568. 13 indexed citations
11.
Li, Shuai, et al.. (2020). Trastuzumab with FLOT Regimen for the Perioperative Treatment of Resectable HER2 + Advanced Gastric Cancer: A Retrospective Study. SHILAP Revista de lepidopterología. 2 indexed citations
12.
Faria, Andréia V., Yi Zhao, Chenfei Ye, et al.. (2020). Multimodal MRI assessment for first episode psychosis: A major change in the thalamus and an efficient stratification of a subgroup. Human Brain Mapping. 42(4). 1034–1053. 22 indexed citations
13.
Jung, Youngmoon, Lisanne M. Jenkins, Virginia Hill, et al.. (2020). Transfer learning for predicting conversion from mild cognitive impairment to dementia of Alzheimer's type based on a three-dimensional convolutional neural network. Neurobiology of Aging. 99. 53–64. 54 indexed citations
14.
15.
Wang, Lei, et al.. (2019). Factors for cognitive impairment in adult epileptic patients. Brain and Behavior. 10(1). e01475–e01475. 52 indexed citations
16.
Kukreja, Lokesh, Ryan K. Shahidehpour, Garam Kım, et al.. (2018). Differential Neurotoxicity Related to Tetracycline Transactivator and TDP-43 Expression in Conditional TDP-43 Mouse Model of Frontotemporal Lobar Degeneration. Journal of Neuroscience. 38(27). 6045–6062. 8 indexed citations
17.
Wang, Yuqing, Wei Cai, Lei Wang, & Rui Xia. (2015). Evaluate the early changes of myocardial fibers in rhesus monkey during sub-acute stage of myocardial infarction using diffusion tensor magnetic resonance imaging. Magnetic Resonance Imaging. 34(4). 391–396. 9 indexed citations
18.
Ma, Changming, et al.. (2015). The research of IMRT plan optimization on dose limitation of sub regional auditory organ. Zhonghua fangshe zhongliuxue zazhi. 24(4). 438–442. 1 indexed citations
19.
Herting, Megan M., Kristina A. Uban, Paige L. Williams, et al.. (2015). Default Mode Connectivity in Youth With Perinatally Acquired HIV. Medicine. 94(37). e1417–e1417. 27 indexed citations
20.
Zhang, Li, Michael Chopp, D. Meier, et al.. (2013). Sonic Hedgehog Signaling Pathway Mediates Cerebrolysin-Improved Neurological Function After Stroke. Stroke. 44(7). 1965–1972. 126 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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Breakdown of academic impact, for papers by Kiralee M. Hayashi Breakdown of academic impact, for papers by Christine Fennema‐Notestine Breakdown of academic impact, for papers by Stephen Rose Breakdown of academic impact, for papers by M. Mallar Chakravarty Breakdown of academic impact, for papers by Gerard R. Ridgway Breakdown of academic impact, for papers by Christian Haselgrove Breakdown of academic impact, for papers by Rahul S. Desikan Breakdown of academic impact, for papers by Josephine Barnes Breakdown of academic impact, for papers by Evelina Busa Breakdown of academic impact, for papers by Howard Aizenstein
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