Wei Shen

3.1k citations
89 papers · 2.2k · h-index 28

Impact in

Papers in

Wei Shen

86 papers receiving 2.2k citations

Peers

Wei Shen
Comparison fields: 5 of 127
  • Health, Toxicology and Mutagenesis 442
  • Reproductive Medicine 249
  • Cancer Research 372
  • Public Health, Environmental and Occupational Health 421
  • Molecular Biology 829
Replace D. N. Rao Veeramachaneni with:
D. N. Rao Veeramachaneni United States
Paola Pocar Italy
John H. Richburg United States
Sanghoon Lee South Korea
Geeta Vanage India
Séverine Mazaud‐Guittot France
Sabine Rehm United States
Eduardo Bustos‐Obregón Chile
Xiang‐Shun Cui South Korea
Wei Shen relative to D. N. Rao Veeramachaneni United States D. N. Rao Veeramachaneni's profile →
Citations per field
00.5×3.2×
D. N. Rao Veeramachaneni · 1×
Citations per year

Countries citing papers authored by Wei Shen

Since Specialization
Citations

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

Fields of papers citing papers by Wei Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020103
2 201695
3 201694
4 201492
5 202084
6 201782
7 202281
8
The long non-coding RNA HOTAIR promotes thyroid cancer cell growth, invasion and migration through the miR-1-CCND2 axis.
201777
9 201970
10 201664
11 201854
12 201751
13 201949
14 201449
15 201647
16 201942
17 201641
18 201741
19 201841
20 201737

About Wei Shen

Wei Shen is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Cancer Research, Health, Toxicology and Mutagenesis and Genetics, having authored 89 papers that have together received 2.2k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (23 papers), Cancer-related molecular mechanisms research (15 papers), Effects and risks of endocrine disrupting chemicals (13 papers), Epigenetics and DNA Methylation (12 papers), Pluripotent Stem Cells Research (11 papers), Genetic and phenotypic traits in livestock (8 papers), MicroRNA in disease regulation (7 papers) and Sperm and Testicular Function (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (442 citations), Reproductive Medicine (249 citations), Cancer Research (372 citations), Public Health, Environmental and Occupational Health (421 citations) and Molecular Biology (829 citations). Wei Shen has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Wei Ge, Yong Zhao, Xifeng Zhang, Massimo De Felici, Shun‐Feng Cheng, Yanni Feng, Lingjiang Min, Paul W. Dyce, Junjie Wang and Lan Li. Their work appears in journals such as Theriogenology, Cell Cycle, Journal of Pineal Research, Reproduction Fertility and Development and PLoS ONE.

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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