William Ge

10 papers receiving 556 citations

William Ge's Hit Papers

Lineage Tracing in Humans Enabled by Mitochondrial Mutations and Single-Cell Genomics 2019 · 325 citations
3250+2+4Years since publication100200300

Peers

William Ge
Comparison fields: 5 of 92
  • Biological Psychiatry 26
  • Cancer Research 131
  • Neurology 62
  • Biophysics 30
  • Immunology 107
Replace Sylvia Torres-Odio with:
Sylvia Torres-Odio United States
Marta Brewińska‐Olchowik Poland
Sunny Malhotra Spain
Giuseppe D’Agostino United Kingdom
Negin Rahimzadeh United States
Patricia Widder United States
Catarina Raposo Switzerland
Jonathan D. Lee United States
Sarah F. Field United Kingdom
William Ge relative to Sylvia Torres-Odio United States Sylvia Torres-Odio's profile →
Citations per field
00.5×10×
Sylvia Torres-Odio · 1×
Citations per year

Countries citing papers authored by William Ge

Since Specialization
Citations

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

Fields of papers citing papers by William Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Lineage Tracing in Humans Enabled by Mitochondrial Mutations and Single-Cell Genomics
Hit paper breakdown →
2019325
2 2014139
3 201642
4 201520
5 201717
6 20207
7 20173
8 20223
9 20161
10 20191

About William Ge

William Ge is a scholar working on Pharmacology, Epidemiology, Surgery, Molecular Biology and Dermatology, having authored 10 papers that have together received 558 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (2 papers), Inflammatory mediators and NSAID effects (2 papers), Single-cell and spatial transcriptomics (1 paper), Cancer Genomics and Diagnostics (1 paper), Advanced Radiotherapy Techniques (1 paper), Prostate Cancer Treatment and Research (1 paper), Cholesterol and Lipid Metabolism (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Biological Psychiatry (26 citations), Cancer Research (131 citations), Neurology (62 citations), Biophysics (30 citations) and Immunology (107 citations). William Ge has collaborated with scholars based in United States. Frequent co-authors include Leif S. Ludwig, Yaara Oren, Jason D. Buenrostro, Orit Rozenblatt–Rosen, Christopher Rodman, Aviv Regev, Nir Hacohen, Vijay G. Sankaran, Caleb A. Lareau and Jacob C. Ulirsch. Their work appears in journals such as Journal of Applied Clinical Medical Physics, Journal of Allergy and Clinical Immunology, Cell Host & Microbe, Molecular & Cellular Proteomics and Current Opinion in Pediatrics.

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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