Baoshan Gu
Impact in
- Genetics top 2%
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
-
- Genomics and Phylogenetic Studies 1
- Biomedical Text Mining and Ontologies 1
- Cancer therapeutics and mechanisms 1
- CRISPR and Genetic Engineering 1
- Genetics, Bioinformatics, and Biomedical Research 1
- Genetics 2
- Genomics and Rare Diseases 2
- Co-authors
- Jennifer M. Lee (2 shared papers)Garth Brown (1 shared paper)Jeffrey P. Hoover (1 shared paper)Melissa Landrum (1 shared paper)Shanmuga Chitipiralla (3 shared papers)Wonhee Jang (3 shared papers)George Riley (1 shared paper)Ricardo Villamarín-Salomón (2 shared papers)
- Journals
- Journal of Clinical Oncology (2 papers)Nucleic Acids Research (1 paper)Genetics in Medicine Open (1 paper)
- Partner nations
- United States
In The Last Decade
Baoshan Gu
3 papers receiving 1.7k citations
Baoshan Gu's Hit Papers
Peers
Comparison fields: 5 of 94
- Genetics 696
- Cancer Research 222
- Molecular Biology 965
- Business and International Management 18
- Aging 11
Countries citing papers authored by Baoshan Gu
This map shows the geographic impact of Baoshan Gu'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 Baoshan Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baoshan Gu more than expected).
Fields of papers citing papers by Baoshan Gu
This network shows the impact of papers produced by Baoshan Gu. 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 Baoshan Gu. The network helps show where Baoshan Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Baoshan Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | ClinVar: public archive of interpretations of clinically relevant variants Hit paper breakdown → | 2015 | 1761 |
| 2 | 2016 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2020 | 0 |
About Baoshan Gu
Baoshan Gu is a scholar working on Molecular Biology, Genetics, Pharmacology, Cancer Research and Infectious Diseases, having authored 4 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Genomics and Phylogenetic Studies (1 paper), Cancer Genomics and Diagnostics (1 paper), Biomedical Text Mining and Ontologies (1 paper), Cancer therapeutics and mechanisms (1 paper), CRISPR and Genetic Engineering (1 paper) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Genetics (696 citations), Cancer Research (222 citations), Molecular Biology (965 citations), Business and International Management (18 citations) and Aging (11 citations). Baoshan Gu has collaborated with scholars based in United States. Frequent co-authors include Jennifer M. Lee, Garth Brown, Jeffrey P. Hoover, Melissa Landrum, Shanmuga Chitipiralla, Wonhee Jang, George Riley, Ricardo Villamarín-Salomón, Wendy S. Rubinstein and Jennifer Hart. Their work appears in journals such as Journal of Clinical Oncology, Nucleic Acids Research and Genetics in Medicine Open.
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.