Yi‐Lei Wu

700 citations
22 papers · 503 indexed · h-index 12
Topics
MicroRNA in disease regulation (3 papers)Diabetes Management and Research (3 papers)Diabetes and associated disorders (3 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEJournal of Bone and Mineral Research
Partner nations
ChinaTaiwanUnited States

In The Last Decade

Yi‐Lei Wu

21 papers receiving 495 citations

Peers

Yi‐Lei Wu
Comparison fields: 5 of 85
  • Molecular Biology 199
  • Biomedical Engineering 105
  • Cancer Research 95
  • Surgery 71
  • Genetics 68
Replace Ann‐Kristin Picke with:
Ann‐Kristin Picke Germany
Quitterie C. Larrouture United States
Zenjiro Maruyama Japan
Naomi Dirckx United States
Fumitaka Ichida Japan
Sooyeon Lee Germany
Beatriz Gámez Spain
Gwan-Shik Kim South Korea
Qi Tang China
Yi‐Lei Wu relative to Ann‐Kristin Picke Germany Ann‐Kristin Picke's profile →
Citations per field
00.5×1.5×1.9×
Ann‐Kristin Picke · 1×
Citations per year

Countries citing papers authored by Yi‐Lei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Lei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi‐Lei Wu. 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 Yi‐Lei Wu. The network helps show where Yi‐Lei Wu may publish in the future.

Co-authorship network of co-authors of Yi‐Lei Wu

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 1
5 21
6 35
7 11
8 7
9 20
10 15
11 13
12 14
13 73
14 54
15 153
16 6
17 5
18 5
19
[Changes of trace elements in cells of lung cancer and cervix cancer before apoptosis and after apoptosis].
1
20 32

About Yi‐Lei Wu

Yi‐Lei Wu is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Human-Computer Interaction, having authored 22 papers that have together received 503 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Diabetes Management and Research (3 papers) and Diabetes and associated disorders (3 papers). The work is most often cited by research in Cancer Research (95 citations), Urology (39 citations) and Genetics (43 citations). Yi‐Lei Wu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Songlin Wang, Duohong Zou, Wenjie Zhang, David L. Kaplan, Xinquan Jiang, Chao Zhu, Shenglin Ma, Jufeng Guo, Jiaoli Wang and Lei Yu. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Bone and Mineral Research.

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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