Panpan Wang

1.1k total citations · 1 hit paper
19 papers, 663 citations indexed

About

Panpan Wang is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Panpan Wang has authored 19 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Panpan Wang's work include Cancer Genomics and Diagnostics (3 papers), RNA modifications and cancer (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). Panpan Wang is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), RNA modifications and cancer (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). Panpan Wang collaborates with scholars based in China, United States and Hong Kong. Panpan Wang's co-authors include Hengrui Liu, Jerry Avorn, Sebastian Schneeweiß, Robert J. Glynn, Lydia W.T. Cheung, Victor Mak, Zheng Guo, Jinjun Shi, Ming Wei and Qi Gao and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Panpan Wang

18 papers receiving 621 citations

Hit Papers

Identification of the novel exhausted T cell CD8 + marker... 2024 2026 2025 2024 10 20 30 40 50
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.

  1. Identification of the novel exhausted T cell CD8 + markers in breast cancer
    2024 56 citations Hengrui Liu, Panpan Wang et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Panpan Wang China 9 242 142 117 84 84 19 663
Maxine D. Fisher United States 18 146 0.6× 203 1.4× 59 0.5× 107 1.3× 104 1.2× 52 744
Arjan J. Kwakernaak Netherlands 19 180 0.7× 233 1.6× 144 1.2× 185 2.2× 32 0.4× 45 991
Pooja Ramakant India 12 248 1.0× 223 1.6× 62 0.5× 22 0.3× 55 0.7× 59 759
Antonio Nicolucci Italy 11 289 1.2× 185 1.3× 321 2.7× 170 2.0× 48 0.6× 16 881
Kyung Hee Yi South Korea 15 191 0.8× 157 1.1× 206 1.8× 93 1.1× 51 0.6× 28 1.0k
Moneeza K. Siddiqui United Kingdom 12 234 1.0× 76 0.5× 102 0.9× 60 0.7× 111 1.3× 35 580
Charles van Heyningen United Kingdom 12 154 0.6× 281 2.0× 199 1.7× 85 1.0× 52 0.6× 28 753
Josephina G. Kuiper Netherlands 13 154 0.6× 87 0.6× 63 0.5× 71 0.8× 23 0.3× 37 640
Mohammad Hasani Iran 3 303 1.3× 292 2.1× 57 0.5× 199 2.4× 38 0.5× 11 638
Maria Stella Graziani Italy 15 161 0.7× 145 1.0× 281 2.4× 83 1.0× 42 0.5× 43 826

Countries citing papers authored by Panpan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Panpan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panpan Wang

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

All Works

19 of 19 papers shown
1.
Huang, Xuerong, Panpan Wang, Qin Wang, et al.. (2025). Red-light photobiomodulation improves cognition and neuropsychiatric symptoms in post-stroke cognitive impairment: a randomized trial. Frontiers in Neurology. 16. 1634701–1634701.
2.
Liu, Hengrui, et al.. (2025). Single-cell and bulk RNA sequencing analysis reveals CENPA as a potential biomarker and therapeutic target in cancers. PLoS ONE. 20(1). e0314745–e0314745. 8 indexed citations
3.
Wang, Panpan, et al.. (2025). An in-silico pan-cancer bulk and single-cell profiling of transcription factors in protein autoubiquitination. Discover Oncology. 16(1). 1245–1245. 1 indexed citations
4.
Liu, Hengrui, Zheng Guo, & Panpan Wang. (2024). Genetic expression in cancer research: Challenges and complexity. Gene Reports. 37. 102042–102042. 38 indexed citations
5.
Liu, Hengrui, et al.. (2024). Identification of the novel exhausted T cell CD8 + markers in breast cancer. Scientific Reports. 14(1). 19142–19142. 56 indexed citations breakdown →
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Liu, Hengrui, et al.. (2024). Pan-cancer genetic profiles of mitotic DNA integrity checkpoint protein kinases. Cancer Biomarkers. 41(3-4). CBM240119–CBM240119. 3 indexed citations
8.
Wang, Panpan, Kai Huang, Jie Yu, et al.. (2023). Photobiomodulation for Alzheimer’s disease: photoelectric coupling effect on attenuating Aβ neurotoxicity. Lasers in Medical Science. 38(1). 39–39. 7 indexed citations
9.
Wang, Zhengbin, et al.. (2023). Clinical Effects of Sacubitril/Valsartan Combined with Dapagliflozin in Patients with Diabetes and ST-segment Elevation Myocardial Infarction. SHILAP Revista de lepidopterología. 8(1). 1 indexed citations
10.
Sun, Qiang, et al.. (2022). Unveiling the Pathogenic Bacteria Causing Descending Necrotizing Mediastinitis. Frontiers in Cellular and Infection Microbiology. 12. 873161–873161. 7 indexed citations
11.
Wang, Panpan, Victor Mak, & Lydia W.T. Cheung. (2022). Drugging IGF-1R in cancer: New insights and emerging opportunities. Genes & Diseases. 10(1). 199–211. 49 indexed citations
12.
Xu, Yu, Yong‐Biao Zhang, Lijun Liang, et al.. (2021). NAPG mutation in family members with hereditary hemorrhagic telangiectasia in China. BMC Pulmonary Medicine. 21(1). 197–197. 3 indexed citations
13.
Jiang, Wenxi, Xizi Wang, Ronghui Li, et al.. (2021). Targeted capture sequencing identifies genetic variations of GRK4 and RDH8 in Han Chinese with essential hypertension in Xinjiang. PLoS ONE. 16(7). e0255311–e0255311. 3 indexed citations
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Wang, Panpan, Yuqian Li, Quanxin Wang, et al.. (2017). Independent and cumulative effects of resting heart rate and pulse pressure with type 2 diabetes mellitus in Chinese rural population. Scientific Reports. 7(1). 2625–2625. 5 indexed citations
17.
Glynn, Robert J., et al.. (2006). Selective prescribing led to overestimation of the benefits of lipid-lowering drugs. Journal of Clinical Epidemiology. 59(8). 819–828. 99 indexed citations
18.
Brandau, D, et al.. (1998). Validation of computer-mediated open-ended standardized patient assessments. International Journal of Medical Informatics. 50(1-3). 235–241. 5 indexed citations
19.
Wang, Panpan. (1993). Meta-analysis of effects of intensive blood-glucose control on late complications of type I diabetes*1. The Lancet. 341(8856). 1306–1309. 332 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 Maxine D. Fisher Breakdown of academic impact, for papers by Arjan J. Kwakernaak Breakdown of academic impact, for papers by Pooja Ramakant Breakdown of academic impact, for papers by Antonio Nicolucci Breakdown of academic impact, for papers by Kyung Hee Yi Breakdown of academic impact, for papers by Moneeza K. Siddiqui Breakdown of academic impact, for papers by Charles van Heyningen Breakdown of academic impact, for papers by Josephina G. Kuiper Breakdown of academic impact, for papers by Mohammad Hasani Breakdown of academic impact, for papers by Maria Stella Graziani
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