Dan‐Dan Wen

625 total citations · 1 hit paper
8 papers, 441 citations indexed

About

Dan‐Dan Wen is a scholar working on Molecular Biology, Pharmacology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dan‐Dan Wen has authored 8 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Pharmacology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dan‐Dan Wen's work include Cholesterol and Lipid Metabolism (1 paper), Medicinal Plants and Neuroprotection (1 paper) and Cancer Mechanisms and Therapy (1 paper). Dan‐Dan Wen is often cited by papers focused on Cholesterol and Lipid Metabolism (1 paper), Medicinal Plants and Neuroprotection (1 paper) and Cancer Mechanisms and Therapy (1 paper). Dan‐Dan Wen collaborates with scholars based in China and Nepal. Dan‐Dan Wen's co-authors include Hongyu Luo, Hui‐Zhi Long, Lichen Gao, Ziwei Zhou, Yan Cheng, Yan Cheng, Ziwei Zhou, Lin Cheng, Hongli Li and Yan Cheng and has published in prestigious journals such as Frontiers in Microbiology, Frontiers in Pharmacology and Industrial Crops and Products.

In The Last Decade

Dan‐Dan Wen

7 papers receiving 438 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.

PI3K/AKT Signal Pathway: A Target of Natural Products in the Prevention and Treatment of Alzheimer’s Disease and Parkinson’s Disease

2021 321 citations Hui‐Zhi Long, Yan Cheng et al. Frontiers in Pharmacology profile →

Peers

Dan‐Dan Wen

MB

PHYSI

EPIDE

PHARM

NEURO

Yunliang Guo China

Shaoju Jin China

Yaoyan Dun China

Christoph P. Stahlmann Germany

Chinnasamy Elango United States

Sherehan M. Ibrahim Egypt

Minghao Yuan China

Qi Jia China

Xiaolu Cao China

Yunliang Guo China

Dan‐Dan Wen

273 ×1.3

MB

91 ×0.9

PHYSI

46 ×0.8

EPIDE

33 ×0.6

PHARM

74 ×1.4

NEURO

Citations per year, relative to Dan‐Dan Wen Dan‐Dan Wen (= 1×) peers Yunliang Guo

Countries citing papers authored by Dan‐Dan Wen

Since Specialization

Citations

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

Fields of papers citing papers by Dan‐Dan Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan‐Dan Wen. 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 Dan‐Dan Wen. The network helps show where Dan‐Dan Wen may publish in the future.

Co-authorship network of co-authors of Dan‐Dan Wen

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Wen, Dan‐Dan, Xiaomei Li, Shuai Meng, et al.. (2024). C-repeat binding factor (CBF) identification and expression pattern to abiotic stress response in Casuarina equisetifolia and overexpression of CeCBF4 increase stress tolerance in Arabidopsis. Industrial Crops and Products. 222. 119593–119593. 1 indexed citations

2.

Luo, Hongyu, Hui‐Zhi Long, Ziwei Zhou, et al.. (2022). Pharmacokinetics, Bioequivalence and Safety of Cloperastine in Chinese Healthy Subjects Under Fasting and Postprandial Conditions. Drugs in R&D. 22(4). 311–320. 3 indexed citations

3.

Luo, Hong, Zhenjiang Yao, Hui‐Zhi Long, et al.. (2022). Pharmacokinetics, safety, and bioequivalence of apixaban tablets in healthy Chinese subjects under fasting and fed conditions. International Journal of Clinical Pharmacology and Therapeutics. 61(3). 129–138.

4.

Long, Hui‐Zhi, Yan Cheng, Ziwei Zhou, et al.. (2022). The key roles of organelles and ferroptosis in Alzheimerʼs disease. Journal of Neuroscience Research. 100(6). 1257–1280. 20 indexed citations

5.

Cheng, Yan, Hongli Li, Ziwei Zhou, et al.. (2021). Isoliensinine: A Natural Compound with “Drug-Like” Potential. Frontiers in Pharmacology. 12. 630385–630385. 35 indexed citations

6.

Long, Hui‐Zhi, Yan Cheng, Ziwei Zhou, et al.. (2021). PI3K/AKT Signal Pathway: A Target of Natural Products in the Prevention and Treatment of Alzheimer’s Disease and Parkinson’s Disease. Frontiers in Pharmacology. 12. 648636–648636. 321 indexed citations breakdown →

7.

Zhou, Ziwei, Hui‐Zhi Long, Yan Cheng, et al.. (2021). From Microbiome to Inflammation: The Key Drivers of Cervical Cancer. Frontiers in Microbiology. 12. 767931–767931. 47 indexed citations

8.

Li, Hongli, Yan Cheng, Ziwei Zhou, et al.. (2021). Isoliensinine induces cervical cancer cell cycle arrest and apoptosis by inhibiting the AKT/GSK3α pathway. Oncology Letters. 23(1). 8–8. 14 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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