Pu Yan

840 citations
14 papers · 487 · h-index 8

Impact in

    • Histone Deacetylase Inhibitors Research
    • Protein Degradation and Inhibitors
    • Epigenetics and DNA Methylation
    • Ubiquitin and proteasome pathways
    • Peptidase Inhibition and Analysis

Papers in

Pu Yan

13 papers receiving 468 citations

Peers

Pu Yan
Comparison fields: 5 of 69
  • Molecular Biology 399
  • Oncology 130
  • Organic Chemistry 91
  • Hematology 26
  • Geriatrics and Gerontology 9
Replace Victoria Luchenko with:
Victoria Luchenko United States
Grace Aldana-Masangkay United States
Teneille Walker United States
ShuYun Zhang United States
Steven S. Foster United Kingdom
C-T Yeh Taiwan
Daisy Lio Australia
Tatiana Erazo Spain
Xiaobo Li China
Dong Hoon Lee South Korea
Pu Yan relative to Victoria Luchenko United States Victoria Luchenko's profile →
Citations per field
00.5×4.0×
Victoria Luchenko · 1×
Citations per year

Countries citing papers authored by Pu Yan

Since Specialization
Citations

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

Fields of papers citing papers by Pu Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pu Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pu Yan Line = papers co-authored together Pu Yan links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2008271
2 200152
3 200352
4 200728
5
rhEPO affects apoptosis in hippocampus of aging rats by upregulating SIRT1.
201524
6 200321
7 201911
8 20237
9
Erythropoietin suppresses D-galactose-induced aging of rats via the PI3K/Akt/Nrf2-ARE pathway.
20187
10
Immunohistochemical localization of hTERT protein in human tissues
20045
11
Patologia molekularna raka jelita grubego
20154
12 20143
13 20222
14 20230

About Pu Yan

Pu Yan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Organic Chemistry, Oncology and Neurology, having authored 14 papers that have together received 487 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (4 papers), Histone Deacetylase Inhibitors Research (4 papers), MicroRNA in disease regulation (2 papers), Circular RNAs in diseases (2 papers), Click Chemistry and Applications (2 papers), Nerve injury and regeneration (1 paper), Lipid metabolism and biosynthesis (1 paper) and HER2/EGFR in Cancer Research (1 paper). The work is most often cited by research in Molecular Biology (399 citations), Oncology (130 citations), Organic Chemistry (91 citations), Hematology (26 citations) and Geriatrics and Gerontology (9 citations). Pu Yan has collaborated with scholars based in China, Netherlands and Switzerland. Frequent co-authors include Marielle Fournel, Jeffrey M. Besterman, Zuomei Li, Marie-Claude Trachy-Bourget, Daniel Delorme, Ann Kalita, A. Robert MacLeod, Oscar Moradei, Marie‐France Robert and Jinru Wang. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Molecular Cancer Therapeutics, Applied immunohistochemistry & molecular morphology, Neuroscience Research and BMC Cancer.

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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