Peixing Wan

1.3k total citations · 1 hit paper
17 papers, 900 citations indexed

About

Peixing Wan is a scholar working on Molecular Biology, Ophthalmology and Cancer Research. According to data from OpenAlex, Peixing Wan has authored 17 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Ophthalmology and 5 papers in Cancer Research. Recurrent topics in Peixing Wan's work include Cell death mechanisms and regulation (4 papers), Cancer-related molecular mechanisms research (4 papers) and Glaucoma and retinal disorders (3 papers). Peixing Wan is often cited by papers focused on Cell death mechanisms and regulation (4 papers), Cancer-related molecular mechanisms research (4 papers) and Glaucoma and retinal disorders (3 papers). Peixing Wan collaborates with scholars based in China and United States. Peixing Wan's co-authors include Yehong Zhuo, Wenru Su, Zheng-gang Liu, Jiong Yan, Swati Choksi, Erping Long, Caibin Deng, Nan Jiang, Zhidong Li and Yingying Zhang and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Cell Death and Differentiation.

In The Last Decade

Peixing Wan

15 papers receiving 894 citations

Hit Papers

align trajectories

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.

Necroptosis and tumor progression

2021 294 citations Jiong Yan, Peixing Wan et al. Trends in cancer profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peixing Wan China	11	619	349	134	126	112	17	900
Gabriella Esposito Italy	19	650 1.1×	154 0.4×	102 0.8×	52 0.4×	74 0.7×	56	923
Song Fan China	20	559 0.9×	365 1.0×	64 0.5×	221 1.8×	46 0.4×	69	1.1k
Tang Zhu Canada	19	603 1.0×	88 0.3×	150 1.1×	251 2.0×	118 1.1×	29	1.2k
Tao He China	16	350 0.6×	109 0.3×	87 0.6×	50 0.4×	146 1.3×	43	680
Kwan Hyuck Baek South Korea	5	584 0.9×	279 0.8×	122 0.9×	37 0.3×	25 0.2×	5	997
Jiean Xu China	12	240 0.4×	83 0.2×	152 1.1×	53 0.4×	89 0.8×	25	526
Jingming Li China	19	640 1.0×	216 0.6×	118 0.9×	31 0.2×	414 3.7×	44	1.3k
Cong Chen China	14	395 0.6×	398 1.1×	34 0.3×	119 0.9×	24 0.2×	38	778
Xiaoban Xin United States	10	392 0.6×	128 0.4×	83 0.6×	33 0.3×	178 1.6×	13	911
Rosa Aledo Spain	20	507 0.8×	166 0.5×	103 0.8×	53 0.4×	15 0.1×	36	882

Countries citing papers authored by Peixing Wan

Since Specialization

Citations

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

Fields of papers citing papers by Peixing Wan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peixing Wan

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

All Works

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17 of 17 papers shown

Li, Youqiong, Tong Zhou, Lihua Ye, et al.. (2025). The 1357 bp deletion in β-thalassemia: molecular profiling and hematological characterization in a Guangxi cohort. Molecular Biology Reports. 52(1). 602–602.

Wan, Peixing, Swati Choksi, Yeonji Park, et al.. (2025). Soluble tissue factor generated by necroptosis-triggered shedding is responsible for thrombosis. Cell Research. 35(11). 840–858.

Long, Erping, et al.. (2024). From general to specific: Tailoring large language models for real‐world medical communications. Clinical and Translational Medicine. 15(1). e70157–e70157. 1 indexed citations

Wan, Peixing, Wenjun Tang, D. Pei, et al.. (2024). Outpatient reception via collaboration between nurses and a large language model: a randomized controlled trial. Nature Medicine. 30(10). 2878–2885. 46 indexed citations

Long, Erping, Peixing Wan, Qingyu Chen, Zhiyong Lu, & Jiyeon Choi. (2023). From function to translation: Decoding genetic susceptibility to human diseases via artificial intelligence. Cell Genomics. 3(6). 100320–100320. 10 indexed citations

Wan, Peixing, et al.. (2022). Examining MLKL phosphorylation to detect necroptosis in murine mammary tumors. STAR Protocols. 3(3). 101457–101457. 4 indexed citations

Wan, Peixing, Jiong Yan, & Zheng-gang Liu. (2022). Methodological advances in necroptosis research: From challenges to solutions. SHILAP Revista de lepidopterología. 2(4). 291–297. 4 indexed citations

Wan, Peixing, Siyu Huang, Yanting Luo, et al.. (2022). Reciprocal Regulation between lncRNA ANRIL and p15 in Steroid-Induced Glaucoma. Cells. 11(9). 1468–1468. 15 indexed citations

Yan, Jiong, Peixing Wan, Swati Choksi, & Zheng-gang Liu. (2021). Necroptosis and tumor progression. Trends in cancer. 8(1). 21–27. 294 indexed citations breakdown →

10.

Wan, Peixing, Erping Long, Zhidong Li, et al.. (2020). TET-dependent GDF7 hypomethylation impairs aqueous humor outflow and serves as a potential therapeutic target in glaucoma. Molecular Therapy. 29(4). 1639–1657. 14 indexed citations

11.

Jiang, Nan, Zhidong Li, Zuohong Li, et al.. (2020). Laquinimod exerts anti-inflammatory and antiapoptotic effects in retinal ischemia/reperfusion injury. International Immunopharmacology. 88. 106989–106989. 28 indexed citations

12.

Wan, Peixing, Wenru Su, Yingying Zhang, et al.. (2019). LncRNA H19 initiates microglial pyroptosis and neuronal death in retinal ischemia/reperfusion injury. Cell Death and Differentiation. 27(1). 176–191. 212 indexed citations

13.

Su, Wenru, Zuohong Li, Yu Jia, et al.. (2017). microRNA-21a-5p/PDCD4 axis regulates mesenchymal stem cell-induced neuroprotection in acute glaucoma. Journal of Molecular Cell Biology. 9(4). 289–301. 46 indexed citations

14.

Long, Erping, Peixing Wan, & Yehong Zhuo. (2017). Predicting the Real-World Future of Glaucoma Patients? Cautions Are Required for Machine Learning. Translational Vision Science & Technology. 6(6). 3–3. 3 indexed citations

15.

Wan, Peixing, Wenru Su, Yingying Zhang, et al.. (2017). Trimetazidine protects retinal ganglion cells from acute glaucoma via the Nrf2/Ho-1 pathway. Clinical Science. 131(18). 2363–2375. 56 indexed citations

16.

Wan, Peixing, Wenru Su, & Yehong Zhuo. (2016). The Role of Long Noncoding RNAs in Neurodegenerative Diseases. Molecular Neurobiology. 54(3). 2012–2021. 141 indexed citations

17.

Wan, Peixing, Wenru Su, & Yehong Zhuo. (2016). Precise long non-coding RNA modulation in visual maintenance and impairment. Journal of Medical Genetics. 54(7). 450–459. 26 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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