Wei Ge

11.7k citations
274 papers · 9.6k · 1 hit paper · h-index 54

Impact in

  • Genetics top 0.5%
    • Mesenchymal stem cell research
    • Genetic and phenotypic traits in livestock
  • Pollution top 2%
    • Microplastics and Plastic Pollution

Papers in

Wei Ge

265 papers receiving 9.4k citations

Wei Ge's Hit Papers

What hides behind the MASC: clinical response and acquired resistance to entrectinib after ETV6-NTRK3 identification in a mammary analogue secretory carcinoma (MASC) 2016 · 265 citations
2650+3+6Years since publication50100150200250

Peers

Wei Ge
Comparison fields: 5 of 142
  • Genetics 1.3k
  • Pollution 524
  • Reproductive Medicine 443
  • Cancer Research 531
  • Health, Toxicology and Mutagenesis 546
Replace Lukas Kenner with:
Lukas Kenner Austria
Matthew E. Burow United States
Xiaodong Han China
Tae Sung Kim South Korea
Hui Li China
Hiroshi Kitamura Japan
Yingmei Zhang China
Hiroshi Kobayashi Japan
Alicja Jozkowicz Poland
Hiroshi Yamamoto Japan
Wei Ge relative to Lukas Kenner Austria Lukas Kenner's profile →
Citations per field
00.5×2×4×6×7.2×
Lukas Kenner · 1×
Citations per year

Countries citing papers authored by Wei Ge

Since Specialization
Citations

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

Fields of papers citing papers by Wei Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 274 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007510
2 2004423
3 2010293
4 2016275
5 2015268
6
What hides behind the MASC: clinical response and acquired resistance to entrectinib after ETV6-NTRK3 identification in a mammary analogue secretory carcinoma (MASC)
Hit paper breakdown →
2016265
7 2009211
8 2019151
9 2005126
10 2008119
11 2019116
12 2003113
13 2020112
14 2021112
15 2020111
16 2016107
17 2001106
18 2020102
19 2020102
20 2016101

About Wei Ge

Wei Ge is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology, Cancer Research, Genetics and Reproductive Medicine, having authored 274 papers that have together received 9.6k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (20 papers), Plant Molecular Biology Research (16 papers), Pluripotent Stem Cells Research (14 papers), Sperm and Testicular Function (14 papers), Effects and risks of endocrine disrupting chemicals (12 papers), Toxic Organic Pollutants Impact (11 papers), Lung Cancer Treatments and Mutations (11 papers) and Angiogenesis and VEGF in Cancer (11 papers). The work is most often cited by research in Genetics (1.3k citations), Pollution (524 citations), Reproductive Medicine (443 citations), Cancer Research (531 citations) and Health, Toxicology and Mutagenesis (546 citations). Wei Ge has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Chao Chai, Wei Shen, Jun Ren, Wei Shen, Ximing Xu, Dedong Cao, Huilin Xu, Shengguo You, Massimo De Felici and Robert C.H. Zhao. Their work appears in journals such as Oncotarget, Scientific Reports, Cell Death and Disease, Aging 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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