Hongping Tang

1.0k total citations
25 papers, 328 citations indexed

About

Hongping Tang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Hongping Tang has authored 25 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Hongping Tang's work include Cervical Cancer and HPV Research (5 papers), AI in cancer detection (5 papers) and Breast Lesions and Carcinomas (3 papers). Hongping Tang is often cited by papers focused on Cervical Cancer and HPV Research (5 papers), AI in cancer detection (5 papers) and Breast Lesions and Carcinomas (3 papers). Hongping Tang collaborates with scholars based in China, United States and United Kingdom. Hongping Tang's co-authors include Guie Xie, Shaoqing Wu, Xiao Han, Lihong Yao, Zhao Wang, Hongzhuan Tan, Jun Xiong, Can Liao, Jingsong Chen and Jiangwen Liu and has published in prestigious journals such as Biochemical and Biophysical Research Communications, IEEE Transactions on Medical Imaging and Allergy.

In The Last Decade

Hongping Tang

25 papers receiving 326 citations

Peers

Hongping Tang

ONCOL

EPIDE

Hilde Vardeh United States

Miao Peng China

Christiane Zgorzelski Germany

Shi‐Ting Huang China

Hege Bøvelstad Norway

Huafeng Wang China

Juying Zhou China

Ibrahim N. Muhsen United States

Dragana Pilavdzic Canada

Sudhir Perincheri United States

Hilde Vardeh United States

Hongping Tang

210 ×1.7

31 ×0.5

ONCOL

30 ×0.5

48 ×1.0

64 ×1.5

EPIDE

Citations per year, relative to Hongping Tang Hongping Tang (= 1×) peers Hilde Vardeh

Countries citing papers authored by Hongping Tang

Since Specialization

Citations

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

Fields of papers citing papers by Hongping Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongping Tang

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

All Works

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20 of 20 papers shown

Cai, De, Jie Chen, Junhan Zhao, et al.. (2024). HiCervix: An Extensive Hierarchical Dataset and Benchmark for Cervical Cytology Classification. IEEE Transactions on Medical Imaging. 43(12). 4344–4355. 11 indexed citations

Zhao, Junhan, Xiang Liu, Hongping Tang, et al.. (2024). Mesoscopic structure graphs for interpreting uncertainty in non-linear embeddings. Computers in Biology and Medicine. 182. 109105–109105. 4 indexed citations

Yang, Yuhui, et al.. (2024). Integration of AI‐Assisted in Digital Cervical Cytology Training: A Comparative Study. Cytopathology. 36(2). 156–164. 4 indexed citations

Xue, Peng, Haimiao Xu, Hongping Tang, et al.. (2023). Improving the Accuracy and Efficiency of Abnormal Cervical Squamous Cell Detection With Cytologist-in-the-Loop Artificial Intelligence. Modern Pathology. 36(8). 100186–100186. 16 indexed citations

Xue, Peng, Haimiao Xu, Hongping Tang, et al.. (2023). Assessing artificial intelligence enabled liquid‐based cytology for triaging HPV‐positive women: a population‐based cross‐sectional study. Acta Obstetricia Et Gynecologica Scandinavica. 102(8). 1026–1033. 11 indexed citations

Tang, Hongping, et al.. (2023). NDUFA8 is transcriptionally regulated by EP300/H3K27ac and promotes mitochondrial respiration to support proliferation and inhibit apoptosis in cervical cancer. Biochemical and Biophysical Research Communications. 693. 149374–149374. 9 indexed citations

Zhang, Yan, Haiyang Chen, Hongping Tang, et al.. (2022). Identification of Five Cytotoxicity-Related Genes Involved in the Progression of Triple-Negative Breast Cancer. Frontiers in Genetics. 12. 723477–723477. 6 indexed citations

Tang, Hongping, et al.. (2022). Morphological features of 52 cases of breast phyllodes tumours with local recurrence. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 481(4). 519–531. 5 indexed citations

Tang, Hongping, et al.. (2021). Secretory carcinoma of the breast with multiple distant metastases in the brain and unfavorable prognosis: a case report and literature review. Diagnostic Pathology. 16(1). 56–56. 13 indexed citations

10.

Tang, Hongping, De Cai, Ye Hu, et al.. (2021). Cervical cytology screening facilitated by an artificial intelligence microscope: A preliminary study. Cancer Cytopathology. 129(9). 693–700. 28 indexed citations

11.

Liu, Wenquan, et al.. (2020). Automatic recognition of breast invasive ductal carcinoma based on terahertz spectroscopy with wavelet packet transform and machine learning. Biomedical Optics Express. 11(2). 971–971. 35 indexed citations

12.

Zhang, Yan, Hongping Tang, Chuan‐An Wu, et al.. (2019). High expression of PRKDC promotes breast cancer cell growth via p38 MAPK signaling and is associated with poor survival. Molecular Genetics & Genomic Medicine. 7(11). e908–e908. 32 indexed citations

13.

Bourne, Debra, Edward H. Davidson, He Li, et al.. (2016). Whole-eye transplantation: a look into the past and vision for the future. Eye. 31(2). 179–184. 13 indexed citations

14.

Yao, Lihong, Haijin Zhao, Hongping Tang, et al.. (2016). Blockade of β-catenin signaling attenuates toluene diisocyanate-induced experimental asthma. Allergy. 72(4). 579–589. 41 indexed citations

15.

Xie, Guie, Hongping Tang, Shaoqing Wu, et al.. (2014). The cyclin-dependent kinase inhibitor SNS-032 induces apoptosis in breast cancer cells via depletion of Mcl-1 and X-linked inhibitor of apoptosis protein and displays antitumor activity in vivo. International Journal of Oncology. 45(2). 804–812. 29 indexed citations

16.

Yan, Jinhai, Qingzhu Wei, Hongping Tang, et al.. (2014). A fine decision tree consisted of CK5/6, IMP3 and TTF1 for cytological diagnosis among reactive mesothelial cells, metastatic adenocarcinoma of lung and non-lung origin in pleural effusion.. PubMed. 7(9). 5810–8. 2 indexed citations

17.

Tang, Hongping, Qingzhu Wei, Juan Ge, et al.. (2013). IMP3 as a supplemental diagnostic marker for Hodgkin lymphoma. Human Pathology. 44(10). 2167–2172. 16 indexed citations

18.

Liu, Fang, Yu Zhang, Hongping Tang, et al.. (2013). CXC chemokine ligand 16, inversely correlated with CD99 expression in Hodgkin Reed-Sternberg cells, is widely expressed in diverse types of lymphomas. Oncology Reports. 30(2). 783–792. 6 indexed citations

19.

Tan, Hongzhuan, Kenny Ye, Zhao Wang, & Hongping Tang. (2008). Clinicopathologic Evaluation of Immunohistochemical CD147 and MMP-2 Expression in Differentiated Thyroid Carcinoma. Japanese Journal of Clinical Oncology. 38(8). 528–533. 21 indexed citations

20.

Tang, Hongping, et al.. (2006). [Atomization inhalation of ambroxol as an auxiliary therapy for severe pneumonia in neonates].. PubMed. 8(3). 249–50. 1 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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