Danhui Weng

1.9k citations
41 papers · 1.5k indexed · h-index 22
Topics
PI3K/AKT/mTOR signaling in cancer (8 papers)Ovarian cancer diagnosis and treatment (7 papers)MicroRNA in disease regulation (6 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEJNCI Journal of the National Cancer Institute

In The Last Decade

Danhui Weng

41 papers receiving 1.5k citations

Peers

Danhui Weng
Comparison fields: 5 of 96
  • Molecular Biology 926
  • Oncology 492
  • Cancer Research 471
  • Reproductive Medicine 227
  • Immunology 160
Replace Noor A. Lokman with:
Noor A. Lokman Australia
Luca Pasquini Italy
Yumi Yokoyama United States
Curt Balch United States
Muthu Selvakumaran United States
Radosław Januchowski Poland
Lisa Vanderveer United States
Meilan Liu United States
Jean‐Paul Brouillet France
Danhui Weng relative to Noor A. Lokman Australia Noor A. Lokman's profile →
Citations per field
00.5×1.5×2.3×
Noor A. Lokman · 1×
Citations per year

Countries citing papers authored by Danhui Weng

Since Specialization
Citations

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

Fields of papers citing papers by Danhui Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danhui Weng

This figure shows the co-authorship network connecting the top 25 collaborators of Danhui Weng. A scholar is included among the top collaborators of Danhui Weng 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 Danhui Weng. Danhui Weng 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 3
2 64
3 83
4 71
5 71
6 78
7 45
8 143
9 38
10 7
11
Clinicopathological Significance of VEGF-C, VEGFR-3 and Cyclooxygenase-2 in Early-Stage Cervical Cancer.
5
12 40
13 6
14 83
15
[Reversal of drug resistance in human ovarian cancer cells by wild-type PTEN gene and its mechanisms].
5
16 61
17 25
18 40
19 1
20 38

About Danhui Weng

Danhui Weng is a scholar working on Reproductive Medicine, Cancer Research and Obstetrics and Gynecology, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (8 papers), Ovarian cancer diagnosis and treatment (7 papers) and MicroRNA in disease regulation (6 papers). The work is most often cited by research in Cancer Research (471 citations), Reproductive Medicine (227 citations) and Oncology (492 citations). Danhui Weng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ding Ma, Chaoyang Sun, Gang Chen, Bo Zhou, Jianfeng Zhou, Hui Xing, Ding Ma, Shixuan Wang, Xiaokui Yang and Meng Li. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and JNCI Journal of the National Cancer Institute.

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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