Yuchen Ge

557 total citations · 1 hit paper
4 papers, 110 citations indexed

About

Yuchen Ge is a scholar working on Molecular Biology, Automotive Engineering and Marketing. According to data from OpenAlex, Yuchen Ge has authored 4 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Automotive Engineering and 1 paper in Marketing. Recurrent topics in Yuchen Ge's work include Metabolomics and Mass Spectrometry Studies (1 paper), Colorectal Cancer Screening and Detection (1 paper) and Transportation and Mobility Innovations (1 paper). Yuchen Ge is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (1 paper), Colorectal Cancer Screening and Detection (1 paper) and Transportation and Mobility Innovations (1 paper). Yuchen Ge collaborates with scholars based in China, United States and United Kingdom. Yuchen Ge's co-authors include Daniela Puiu, Jennifer Lu, Steven L. Salzberg, Daniel Brewer, Abraham Gihawi, Colin S. Cooper, Mihaela Pertea, Xuyun Nie and Mengjuan Liu and has published in prestigious journals such as Science Translational Medicine, Neurocomputing and mBio.

In The Last Decade

Yuchen Ge

4 papers receiving 108 citations

Hit Papers

Major data analysis errors invalidate cancer microbiome f... 2023 2026 2024 2025 2023 25 50 75

Peers

Yuchen Ge
Comparison fields: 5 of 55
  • Molecular Biology 73
  • Oncology 36
  • Ecology 12
  • Epidemiology 10
  • Cancer Research 9
Replace Abraham Gihawi with:
Abraham Gihawi United Kingdom
Anne Steglich Germany
Jason Kost United States
Ida Negreiros Portugal
Kyle Potts Canada
Matthew P. Goetz United States
Liwen Tao China
Toshiki Ebisudani Japan
Jan Baijer France
Gijs F. de Wit Netherlands
Abraham Gihawi United Kingdom View profile →
Citations per field, relative to Yuchen Ge
Yuchen Ge · 1×
Citations per year, relative to Yuchen Ge
Yuchen Ge · 1×

Countries citing papers authored by Yuchen Ge

Since Specialization
Citations

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

Fields of papers citing papers by Yuchen Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuchen Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Yuchen Ge. A scholar is included among the top collaborators of Yuchen Ge 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 Yuchen Ge. Yuchen Ge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
# Work Indexed citations
1 5
2
Major data analysis errors invalidate cancer microbiome findings breakdown →
99
3 3
4 3

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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