Yi Wu

1.1k citations
66 papers · 772 · h-index 16

Impact in

  • Oncology top 10%
    • Viral-associated cancers and disorders
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

    • Phytochemical compounds biological activities 5
    • Natural product bioactivities and synthesis 4
    • ATP Synthase and ATPases Research 2
    • Viral-associated cancers and disorders 4

Yi Wu

55 papers receiving 765 citations

Peers

Yi Wu
Comparison fields: 5 of 109
  • Oncology 209
  • Genetics 72
  • Developmental Neuroscience 27
  • Pathology and Forensic Medicine 95
  • Endocrine and Autonomic Systems 26
Replace Maciej Gagat with:
Maciej Gagat Poland
Saeed Khodayari Iran
Alireza Nourazarian Iran
Tong Zhao China
Franziska Busch Germany
María Gómez-Lázaro Portugal
Hamid Khodayari Iran
Shen-qiu Luo China
Carolina Simioni Italy
Xiaofang Lu China
Yi Wu relative to Maciej Gagat Poland Maciej Gagat's profile →
Citations per field
00.5×1.5×2.5×
Maciej Gagat · 1×
Citations per year

Countries citing papers authored by Yi Wu

Since Specialization
Citations

This map shows the geographic impact of Yi 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 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 Wu more than expected).

Fields of papers citing papers by Yi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200688
2
Mesenchymal stem/progenitor cells in human umbilical cord blood as support for ex vivo expansion of CD34(+) hematopoietic stem cells and for chondrogenic differentiation.
200484
3 200771
4 201157
5 200940
6 201732
7 201531
8 201831
9 201530
10 200926
11 201426
12 202424
13 200623
14 201221
15 202418
16 202017
17 202213
18 201912
19 201210
20 20258

About Yi Wu

Yi Wu is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Organic Chemistry and Surgery, having authored 66 papers that have together received 772 indexed citations. Recurring topics across this work include Phytochemical compounds biological activities (5 papers), Natural product bioactivities and synthesis (4 papers), Viral-associated cancers and disorders (4 papers), Pancreatic function and diabetes (3 papers), Traditional Chinese Medicine Studies (3 papers), Lymphoma Diagnosis and Treatment (3 papers), ATP Synthase and ATPases Research (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Oncology (209 citations), Genetics (72 citations), Developmental Neuroscience (27 citations), Pathology and Forensic Medicine (95 citations) and Endocrine and Autonomic Systems (26 citations). Yi Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Teru Kanda, Kenzo Takada, Seiji Maruo, Show‐Ling Shyng, Pei‐Chun Chen, Satoko Ishikawa, Dai Iwakiri, Misako Yajima, Guangzhong Yang and Ying Xiang. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Journal of Medicinal Chemistry, Organic & Biomolecular Chemistry and BMC Pregnancy and Childbirth.

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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