He Wang

1.7k total citations
53 papers, 1.3k citations indexed

About

He Wang is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, He Wang has authored 53 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Infectious Diseases, 28 papers in Epidemiology and 10 papers in Molecular Biology. Recurrent topics in He Wang's work include Antifungal resistance and susceptibility (23 papers), Fungal Infections and Studies (21 papers) and Pituitary Gland Disorders and Treatments (8 papers). He Wang is often cited by papers focused on Antifungal resistance and susceptibility (23 papers), Fungal Infections and Studies (21 papers) and Pituitary Gland Disorders and Treatments (8 papers). He Wang collaborates with scholars based in China, Australia and United States. He Wang's co-authors include Yingchun Xu, Meng Xiao, Fanrong Kong, Xin Fan, Xin Hou, Sharon C.-A. Chen, Kang Liao, Ziyong Sun, Shu-Ying Yu and Ping Guo and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

He Wang

53 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
He Wang China 20 729 638 284 163 144 53 1.3k
Jong Hee Shin South Korea 21 699 1.0× 603 0.9× 194 0.7× 161 1.0× 145 1.0× 71 1.2k
Lucio Romano Italy 16 322 0.4× 239 0.4× 174 0.6× 106 0.7× 41 0.3× 26 754
Hafid Soualhine Canada 13 345 0.5× 443 0.7× 254 0.9× 67 0.4× 56 0.4× 37 985
Brooke A. Napier United States 17 135 0.2× 173 0.3× 650 2.3× 306 1.9× 63 0.4× 23 1.2k
Tiffany R. Keepers United States 14 412 0.6× 233 0.4× 198 0.7× 264 1.6× 30 0.2× 20 1.1k
Cosmeri Rizzato Italy 19 242 0.3× 233 0.4× 325 1.1× 57 0.3× 25 0.2× 54 1.1k
Kirsten Schaffer Ireland 19 357 0.5× 208 0.3× 372 1.3× 258 1.6× 21 0.1× 47 1.2k
Bryan P. Hurley United States 25 512 0.7× 213 0.3× 491 1.7× 65 0.4× 73 0.5× 57 1.9k
Kwen‐Tay Luh Taiwan 17 278 0.4× 309 0.5× 207 0.7× 153 0.9× 47 0.3× 19 894
Andrew Hollands United States 20 613 0.8× 233 0.4× 547 1.9× 139 0.9× 22 0.2× 25 1.7k

Countries citing papers authored by He Wang

Since Specialization
Citations

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

Fields of papers citing papers by He Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of He Wang

This figure shows the co-authorship network connecting the top 25 collaborators of He Wang. A scholar is included among the top collaborators of He 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 He Wang. He 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.
Wang, He, Xiao-Hai Liu, Congxin Dai, et al.. (2024). Predicting delayed remission in Cushing’s disease using radiomics models: a multi-center study. Frontiers in Oncology. 13. 1218897–1218897. 4 indexed citations
2.
Fang, Yi, He Wang, Ming Feng, et al.. (2024). Multi-center application of a convolutional neural network for preoperative detection of cavernous sinus invasion in pituitary adenomas. Neuroradiology. 66(3). 353–360. 8 indexed citations
3.
Wang, He, et al.. (2023). Machine Learning Approaches to Differentiate Sellar-Suprasellar Cystic Lesions on Magnetic Resonance Imaging. Bioengineering. 10(11). 1295–1295. 11 indexed citations
4.
Li, Ziqi, Renzhi Wang, Feng Ming, et al.. (2023). Thyroxine changes in COVID-19 pandemic: A systematic review and meta-analysis. Frontiers in Endocrinology. 14. 1089190–1089190. 4 indexed citations
5.
Fu, Jun, He Wang, Yanghua Fan, et al.. (2023). Deep-learning-based automatic segmentation and classification for craniopharyngiomas. Frontiers in Oncology. 13. 1048841–1048841. 7 indexed citations
6.
Qin, Feng, et al.. (2022). Circle Fitting Based Image Segmentation and Multi-Scale Block Local Binary Pattern Based Distinction of Ring Rot and Anthracnose on Apple Fruits. Frontiers in Plant Science. 13. 884891–884891. 4 indexed citations
7.
Zhang, Wentai, Yanghua Fan, He Wang, et al.. (2021). Machine Learning in Preoperative Prediction of Postoperative Immediate Remission of Histology-Positive Cushing’s Disease. Frontiers in Endocrinology. 12. 635795–635795. 25 indexed citations
8.
9.
Kudinha, Timothy, et al.. (2020). Laboratory diagnosis of COVID-19 in China: A review of challenging cases and analysis. Journal of Microbiology Immunology and Infection. 54(1). 17–26. 11 indexed citations
10.
Hou, Xin, Kelley R. Healey, Erika Shor, et al.. (2019). Novel FKS1 and FKS2 modifications in a high-level echinocandin resistant clinical isolate of Candida glabrata. Emerging Microbes & Infections. 8(1). 1619–1625. 40 indexed citations
11.
Zhang, Lichao, Sibo Wang, He Wang, et al.. (2019). Design, synthesis and bioevaluation of 3-oxo-6-aryl-2,3-dihydropyridazine-4-carbohydrazide derivatives as novel xanthine oxidase inhibitors. Bioorganic & Medicinal Chemistry. 27(9). 1818–1823. 17 indexed citations
12.
Zhang, Lichao, He Wang, Sibo Wang, et al.. (2018). Design, synthesis and bioevaluation of 2-mercapto-6-phenylpyrimidine-4-carboxylic acid derivatives as potent xanthine oxidase inhibitors. European Journal of Medicinal Chemistry. 155. 590–595. 24 indexed citations
13.
Hou, Xin, Meng Xiao, Sharon C.-A. Chen, et al.. (2017). Molecular Epidemiology and Antifungal Susceptibility of Candida glabrata in China (August 2009 to July 2014): A Multi-Center Study. Frontiers in Microbiology. 8. 880–880. 49 indexed citations
14.
Liao, Kang, et al.. (2017). Molecular epidemiology and azole resistance mechanism study of Candida guilliermondii from a Chinese surveillance system. Scientific Reports. 7(1). 907–907. 10 indexed citations
15.
Li, Ying, He Wang, Yu-pei Zhao, Yingchun Xu, & Po‐Ren Hsueh. (2017). Evaluation of the Bruker Biotyper Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry System for Identification of Aspergillus Species Directly from Growth on Solid Agar Media. Frontiers in Microbiology. 8. 1209–1209. 26 indexed citations
16.
17.
Wang, He, Li Zhang, Timothy Kudinha, et al.. (2016). Investigation of an unrecognized large-scale outbreak of Candida parapsilosis sensu stricto fungaemia in a tertiary-care hospital in China. Scientific Reports. 6(1). 27099–27099. 29 indexed citations
18.
19.
Fan, Xin, Meng Xiao, Fanrong Kong, et al.. (2014). A Rare Fungal Species, Quambalaria cyanescens, Isolated from a Patient after Augmentation Mammoplasty – Environmental Contaminant or Pathogen?. PLoS ONE. 9(10). e106949–e106949. 8 indexed citations
20.
Liang, Jian‐Hua, Lijing Dong, He Wang, et al.. (2010). Synthesis and antibacterial activities of 6-O-methylerythromycin A 9-O-(3-aryl-2-propenyl) oxime ketolide, 2,3-enol ether, and alkylide analogues. European Journal of Medicinal Chemistry. 45(9). 3627–3635. 22 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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