Bingke Lv

807 citations
16 papers · 687 · h-index 12

Impact in

  • Genetics top 5%
    • Mesenchymal stem cell research
  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Mesenchymal stem cell research 10
    • Neuroinflammation and Neurodegeneration Mechanisms 7

Bingke Lv

14 papers receiving 677 citations

Peers

Bingke Lv
Comparison fields: 5 of 72
  • Genetics 302
  • Neurology 156
  • Developmental Neuroscience 51
  • Cancer Research 165
  • Immunology 140
Replace Sylwia Dabrowska with:
Sylwia Dabrowska Poland
Yuka Ikegame Japan
Jianbang Han China
Jessica Foraker United States
Fangyi Gong China
Brandon Liebelt United States
Ana María Vega-Letter Chile
Gabryella S. P. Santos Brazil
Yaobing Yao China
Yiling Si China
Bingke Lv relative to Sylwia Dabrowska Poland Sylwia Dabrowska's profile →
Citations per field
00.5×
Sylwia Dabrowska · 1×
Citations per year

Countries citing papers authored by Bingke Lv

Since Specialization
Citations

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

Fields of papers citing papers by Bingke Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bingke Lv, 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 Bingke Lv Line = papers co-authored together Bingke Lv links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2021134
2 201493
3 201791
4 201565
5 201455
6 201351
7 201745
8
Hypoxia inducible factor 1α promotes survival of mesenchymal stem cells under hypoxia.
201745
9
Hypoxia-inducible factor 1 α protects mesenchymal stem cells against oxygen-glucose deprivation-induced injury via autophagy induction and PI3K/AKT/mTOR signaling pathway.
201741
10 201621
11 201420
12 201818
13 20207
14 20201
15 20200
16 20210

About Bingke Lv

Bingke Lv is a scholar working on Genetics, Neurology, Immunology, Molecular Biology and Surgery, having authored 16 papers that have together received 687 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Immune cells in cancer (4 papers), MicroRNA in disease regulation (2 papers), Pituitary Gland Disorders and Treatments (2 papers), Extracellular vesicles in disease (2 papers), Pancreatic function and diabetes (1 paper) and Teratomas and Epidermoid Cysts (1 paper). The work is most often cited by research in Genetics (302 citations), Neurology (156 citations), Developmental Neuroscience (51 citations), Cancer Research (165 citations) and Immunology (140 citations). Bingke Lv has collaborated with scholars based in China, Malawi and United States. Frequent co-authors include Xiaodan Jiang, Feng Li, Chengmei Sun, Zhongfei Zhang, Zhiming Feng, Jianbang Han, Run Zhang, Limin Xu, Yuxi Zou and Yingqian Cai. Their work appears in journals such as Experimental Neurology, World Neurosurgery, Aging, Brain Research and Journal of Cellular Physiology.

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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