Weiwei Feng

2.6k total citations
80 papers, 1.9k citations indexed

About

Weiwei Feng is a scholar working on Molecular Biology, Obstetrics and Gynecology and Reproductive Medicine. According to data from OpenAlex, Weiwei Feng has authored 80 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 19 papers in Obstetrics and Gynecology and 19 papers in Reproductive Medicine. Recurrent topics in Weiwei Feng's work include Endometrial and Cervical Cancer Treatments (16 papers), Ovarian cancer diagnosis and treatment (14 papers) and Cervical Cancer and HPV Research (11 papers). Weiwei Feng is often cited by papers focused on Endometrial and Cervical Cancer Treatments (16 papers), Ovarian cancer diagnosis and treatment (14 papers) and Cervical Cancer and HPV Research (11 papers). Weiwei Feng collaborates with scholars based in China, United States and Hong Kong. Weiwei Feng's co-authors include Zhichao Pei, Yinhua Yu, Yuxin Pei, Keqin Hua, Kui Yang, Ming Jin, Chao Wang, Jingxin Ding, Hongyan Jin and Junjun Qiu and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Weiwei Feng

72 papers receiving 1.9k citations

Peers

Weiwei Feng
Comparison fields: 5 of 119
  • Molecular Biology 866
  • Cancer Research 412
  • Surgery 246
  • Cell Biology 239
  • Reproductive Medicine 226
Replace Oliver Dorigo with:
Oliver Dorigo United States
Jermaine Coward Australia
Teh‐Ying Chou Taiwan
Mauricio Cuello Chile
Marina Bagnoli Italy
Dorina Belotti Italy
G. Dark United Kingdom
Katherine R. Kozak United States
Lorna Rodríguez-Rodríguez United States
Sharad Ghamande United States
Oliver Dorigo United States View profile →
Citations per field, relative to Weiwei Feng
Weiwei Feng · 1×
Citations per year, relative to Weiwei Feng
Weiwei Feng · 1×

Countries citing papers authored by Weiwei Feng

Since Specialization
Citations

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

Fields of papers citing papers by Weiwei Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiwei Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Weiwei Feng. A scholar is included among the top collaborators of Weiwei Feng 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 Weiwei Feng. Weiwei Feng 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
# Work Indexed citations
1 0
2 2
3 1
4 1
5 0
6 2
7 7
8 0
9 8
10 1
11 6
12 27
13 22
14 6
15 15
16 2
17 11
18 25
19 41
20 123

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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