Mengchu Wu

2.2k citations
27 papers · 1.5k indexed · h-index 15
Topics
Epigenetics and DNA Methylation (8 papers)Acute Myeloid Leukemia Research (5 papers)RNA modifications and cancer (5 papers)

In The Last Decade

Mengchu Wu

26 papers receiving 1.5k citations

Peers

Mengchu Wu
Comparison fields: 5 of 115
  • Molecular Biology 1.1k
  • Cancer Research 361
  • Genetics 332
  • Hematology 228
  • Pulmonary and Respiratory Medicine 139
Replace Fides D. Lay with:
Fides D. Lay United States
Mandayam O. Nandan United States
Emmanuelle Viré United Kingdom
Duyen T. Dang United States
Kyoichi Isono Japan
Rahul Karnik United States
Kaiwei Liang China
Daniel S. Day United States
Matteo Cesaroni United States
Achim Breiling Germany
Mengchu Wu relative to Fides D. Lay United States Fides D. Lay's profile →
Citations per field
00.5×1.5×2.3×
Fides D. Lay · 1×
Citations per year

Countries citing papers authored by Mengchu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Mengchu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengchu Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Mengchu Wu. A scholar is included among the top collaborators of Mengchu 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 Mengchu Wu. Mengchu 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 67
4 3
5 86
6 26
7 5
8 13
9 58
10 384
11 5
12 28
13 12
14 129
15 80
16 109
17 53
18 160
19
The novel estrogen 17alpha-20Z-21-[(4-amino)phenyl]-19-norpregna-1,3,5(10),20-tetraene-3,17beta-diol induces apoptosis in prostate cancer cell lines at nanomolar concentrations in vitro.
14
20 31

About Mengchu Wu

Mengchu Wu is a scholar working on Hematology, Cancer Research and Toxicology, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), Acute Myeloid Leukemia Research (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Cancer Research (361 citations), Hematology (228 citations) and Molecular Biology (1.1k citations). Mengchu Wu has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Richie Soong, Shuk‐Mei Ho, Daniel G. Tenen, Nasheen Naidoo, Yuet‐Kin Leung, D.N. Cooper, Chee‐Seng Ku, Touati Benoukraf, Kuo‐Ping Chiu and Meritxell Alberich-Jordà. Their work appears in journals such as Nature, Nucleic Acids Research and The EMBO Journal.

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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