Lichun Wei

66 papers receiving 844 citations

Peers

Lichun Wei
Comparison fields: 5 of 87
  • Obstetrics and Gynecology 192
  • Developmental Neuroscience 65
  • Cellular and Molecular Neuroscience 171
  • Neurology 63
  • Biological Psychiatry 18
Replace Zhihua Qiu with:
Zhihua Qiu China
Márta Zarándi United States
Mark Kilgore United States
Radoslav Matěj Czechia
Xinxin Xu China
Ken C. Walls United States
Gary Weisinger Israel
B. Schmitt Germany
Hien Tran United States
Martin Beauchamp Canada
Lichun Wei relative to Zhihua Qiu China Zhihua Qiu's profile →
Citations per field
00.5×1.5×2.3×
Zhihua Qiu · 1×
Citations per year

Countries citing papers authored by Lichun Wei

Since Specialization
Citations

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

Fields of papers citing papers by Lichun Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007127
2 200059
3 201253
4 200745
5 201937
6 202133
7 201630
8 202130
9 201929
10 201328
11 200225
12 201325
13 200924
14 201724
15 201823
16 200722
17 200120
18
Heparanase promotes radiation resistance of cervical cancer by upregulating hypoxia inducible factor 1.
201715
19 202213
20 202013

About Lichun Wei

Lichun Wei is a scholar working on Obstetrics and Gynecology, Developmental Neuroscience, Reproductive Medicine, Surgery and Epidemiology, having authored 74 papers that have together received 858 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (38 papers), Colorectal and Anal Carcinomas (17 papers), Cervical Cancer and HPV Research (17 papers), Ovarian cancer diagnosis and treatment (8 papers), Management of metastatic bone disease (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), MRI in cancer diagnosis (7 papers) and Receptor Mechanisms and Signaling (5 papers). The work is most often cited by research in Obstetrics and Gynecology (192 citations), Developmental Neuroscience (65 citations), Cellular and Molecular Neuroscience (171 citations), Neurology (63 citations) and Biological Psychiatry (18 citations). Lichun Wei has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Liang-Wei Chen, Mei Shi, Liwen Liu, YS Chan, Rong Cao, Yunzhi Dang, Mei Shi, Zhi‐Ren Rao, Jianping Li and Yanqin Wang. Their work appears in journals such as Frontiers in Oncology, International Journal of Radiation Oncology*Biology*Physics, Brain Research, BMC Cancer and Journal of Clinical Oncology.

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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