Wei Le

698 citations
28 papers · 459 indexed · h-index 11

Impact in

Papers in

Wei Le

25 papers receiving 455 citations

Peers

Wei Le
Comparison fields: 5 of 88
  • Cancer Research 161
  • Reproductive Medicine 40
  • Molecular Biology 249
  • Pulmonary and Respiratory Medicine 72
  • Health, Toxicology and Mutagenesis 30
Replace Mariana Freitas with:
Mariana Freitas Portugal
Patrick W. Turk United States
Dan Kong China
Kaoru Toyosawa Japan
Asmaa M. Ahmed Egypt
Sonia C. DaSilva‐Arnold United States
Yongtong Zhu China
Wenjing Dong China
Chong Qiao China
Wei Le relative to Mariana Freitas Portugal Mariana Freitas's profile →
Citations per field
00.5×3.1×
Mariana Freitas · 1×
Citations per year

Countries citing papers authored by Wei Le

Since Specialization
Citations

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

Fields of papers citing papers by Wei Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20241
4 202310
5 20232
6 202213
7 20225
8 20217
9 202014
10 20197
11 201948
12 20185
13 20176
14 20161
15 201412
16
Assessment of numerical chromosomal abnormalities of the sperms before and after radiotherapy in seminoma patient.
20141
17
The effect of different grazing systems on aboveground biomass and interspecific relationships in desert steppe
20123
18 20119
19 200850
20 200878

About Wei Le

Wei Le is a scholar working on Reproductive Medicine, Biophysics, Cancer Research, Urology and Toxicology, having authored 28 papers that have together received 459 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (5 papers), Sperm and Testicular Function (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), DNA Repair Mechanisms (3 papers), Cancer, Lipids, and Metabolism (3 papers), SARS-CoV-2 detection and testing (3 papers), Spectroscopy Techniques in Biomedical and Chemical Research (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Cancer Research (161 citations), Reproductive Medicine (40 citations), Molecular Biology (249 citations), Pulmonary and Respiratory Medicine (72 citations) and Health, Toxicology and Mutagenesis (30 citations). Wei Le has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Glenn D. Rosen, Daya Upadhyay, Chengdang Xu, Jingmei Zhang, Denglong Wu, J. Zhang, Andrew J. Ghio, Shao-Hua Su, Peter H. Hwang and Peijun Wang. Their work appears in journals such as SpringerPlus, Journal of Cellular Biochemistry, Food Bioscience, International Journal of Biological Macromolecules and FEBS Letters.

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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