Manhua Cui

1.4k citations
55 papers · 984 · h-index 18

Impact in

Papers in

Manhua Cui

53 papers receiving 966 citations

Peers

Manhua Cui
Comparison fields: 5 of 90
  • Reproductive Medicine 131
  • Cancer Research 212
  • Pharmacology 102
  • Obstetrics and Gynecology 79
  • Immunology 194
Replace Hareesh B. Nair with:
Hareesh B. Nair United States
Swayamjot Kaur United States
Shuli Yang China
Mengyao Wu China
Marijke Kamsteeg Netherlands
Ke Huang China
Tomoko Inoue Japan
Juan Qin China
Jae‐Hoon Ji South Korea
Manhua Cui relative to Hareesh B. Nair United States Hareesh B. Nair's profile →
Citations per field
00.5×4.4×
Hareesh B. Nair · 1×
Citations per year

Countries citing papers authored by Manhua Cui

Since Specialization
Citations

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

Fields of papers citing papers by Manhua Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200880
2
Inhibitory effect of ginsenoside Rg3 combined with cyclophosphamide on growth and angiogenesis of ovarian cancer.
200778
3 202076
4 200774
5 201464
6 201356
7 201748
8 201141
9
Chemoresistance and targeting of growth factors/cytokines signalling pathways: towards the development of effective therapeutic strategy for endometrial cancer.
201832
10 202130
11 202329
12 202128
13 201923
14 201821
15 201519
16 201218
17 202217
18 201117
19 201817
20 201517

About Manhua Cui

Manhua Cui is a scholar working on Molecular Biology, Oncology, Reproductive Medicine, Obstetrics and Gynecology and Cancer Research, having authored 55 papers that have together received 984 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (10 papers), Cancer-related molecular mechanisms research (6 papers), Endometrial and Cervical Cancer Treatments (5 papers), Ginseng Biological Effects and Applications (4 papers), Endometriosis Research and Treatment (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Genetic factors in colorectal cancer (3 papers) and Cancer Mechanisms and Therapy (3 papers). The work is most often cited by research in Reproductive Medicine (131 citations), Cancer Research (212 citations), Pharmacology (102 citations), Obstetrics and Gynecology (79 citations) and Immunology (194 citations). Manhua Cui has collaborated with scholars based in China, United States and Mexico. Frequent co-authors include Tianmin Xu, Ying Xin, Xin Jiang, Xiwen Zhang, Fengjun Guo, Lin Yang, Manman Su, Ling Wang, Hong Teng and Dingding Wang. Their work appears in journals such as Medicine, International Journal of Oncology, Journal of Ovarian Research, Biomedicine & Pharmacotherapy and Frontiers in Bioengineering and Biotechnology.

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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