Beidi Wang

588 citations
14 papers · 434 · h-index 10

Impact in

Papers in

    • RNA Research and Splicing 4
    • Circular RNAs in diseases 2
    • RNA modifications and cancer 2
    • Epigenetics and DNA Methylation 1
    • Cancer-related molecular mechanisms research 5

Beidi Wang

14 papers receiving 432 citations

Peers

Beidi Wang
Comparison fields: 5 of 52
  • Reproductive Medicine 110
  • Cancer Research 165
  • Obstetrics and Gynecology 65
  • Immunology 97
  • Applied Microbiology and Biotechnology 8
Replace Christopher McCann with:
Christopher McCann United Kingdom
Ouping Huang China
Kanako Inaba Japan
J Belotte United States
Jie Han China
Shujie Pang China
Henry Reyes Pineda United States
Xiujie Sheng China
Wenbin Huang China
João Siufi Neto Brazil
Beidi Wang relative to Christopher McCann United Kingdom Christopher McCann's profile →
Citations per field
00.5×4.7×
Christopher McCann · 1×
Citations per year

Countries citing papers authored by Beidi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Beidi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201991
2 201867
3 202266
4 201562
5 202348
6 201230
7 201723
8 201713
9 202310
10 20229
11 20256
12
Silencing CCAT2 inhibited proliferation and invasion of epithelial ovarian carcinoma cells by regulating Wnt signaling pathway.
20174
13 20213
14 20232

About Beidi Wang

Beidi Wang is a scholar working on Molecular Biology, Cancer Research, Oncology, Reproductive Medicine and Immunology, having authored 14 papers that have together received 434 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Endometriosis Research and Treatment (4 papers), RNA Research and Splicing (4 papers), Circular RNAs in diseases (2 papers), Reproductive System and Pregnancy (2 papers), RNA modifications and cancer (2 papers), Epigenetics and DNA Methylation (1 paper) and Pregnancy-related medical research (1 paper). The work is most often cited by research in Reproductive Medicine (110 citations), Cancer Research (165 citations), Obstetrics and Gynecology (65 citations), Immunology (97 citations) and Applied Microbiology and Biotechnology (8 citations). Beidi Wang has collaborated with scholars based in China, United States and Greece. Frequent co-authors include Peiling Li, Zongfeng Zhang, Hao Wang, Yanling Gou, Meimei Liu, Hongyan Zhang, Jing Jiang, Xue Li, Xuesong Ma and Jiang Xue. Their work appears in journals such as Environmental Science and Pollution Research, Chemotherapy, Human Reproduction, Cancer Cell International and Anti-Cancer Drugs.

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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