Brian B. Tuch
Impact in
- Molecular Biology top 1%
- Single-cell and spatial transcriptomics
- Fungal and yeast genetics research
- Gene Regulatory Network Analysis
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- Infectious Diseases top 1%
- Antifungal resistance and susceptibility
Papers in
-
- Cancer Genomics and Diagnostics 4
- Genetics 4
- Chronic Lymphocytic Leukemia Research 3
- Co-authors
- Alexander D. JohnsonXiaohui WangM. Azim SuraniCátálin BárbácioruKaiqin LaoJohn BodeauClarence LeeFuchou Tang
- Journals
- Nature (3 papers)Annals of Oncology (3 papers)Science (3 papers)Blood (2 papers)Molecular Cancer Therapeutics (2 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Brian B. Tuch
36 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Molecular Biology 4.5k
- Infectious Diseases 1.1k
- Cancer Research 873
- Biophysics 245
- Aging 63
Countries citing papers authored by Brian B. Tuch
This map shows the geographic impact of Brian B. Tuch'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 Brian B. Tuch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian B. Tuch more than expected).
Fields of papers citing papers by Brian B. Tuch
This network shows the impact of papers produced by Brian B. Tuch. 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 Brian B. Tuch. The network helps show where Brian B. Tuch may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian B. Tuch, 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 | 2024 | 4 | |
| 2 | 2023 | 18 | |
| 3 | 2019 | 114 | |
| 4 | 2016 | 3 | |
| 5 | An Oncogenic NTRK Fusion in a Patient with Soft-Tissue Sarcoma with Response to the Tropomyosin-Related Kinase Inhibitor LOXO-101 Hit paper breakdown → | 2015 | 302 |
| 6 | 2015 | 54 | |
| 7 | 2014 | 4 | |
| 8 | A Recently Evolved Transcriptional Network Controls Biofilm Development in Candida albicans Hit paper breakdown → | 2012 | 555 |
| 9 | 2011 | 66 | |
| 10 | 2011 | 115 | |
| 11 | 2011 | 259 | |
| 12 | 2010 | 35 | |
| 13 | 2010 | 59 | |
| 14 | 2010 | 123 | |
| 15 | Global Analysis of Cdk1 Substrate Phosphorylation Sites Provides Insights into Evolution Hit paper breakdown → | 2009 | 716 |
| 16 | mRNA-Seq whole-transcriptome analysis of a single cell Hit paper breakdown → | 2009 | 2536 |
| 17 | 2008 | 17 | |
| 18 | 2007 | 52 | |
| 19 | 2007 | 234 | |
| 20 | 2006 | 209 |
About Brian B. Tuch
Brian B. Tuch is a scholar working on Cancer Research, Genetics, Molecular Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 36 papers that have together received 6.3k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (11 papers), Lung Cancer Treatments and Mutations (8 papers), RNA Research and Splicing (5 papers), Cancer Genomics and Diagnostics (4 papers), Genomics and Chromatin Dynamics (4 papers), RNA modifications and cancer (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Antifungal resistance and susceptibility (3 papers). The work is most often cited by research in Molecular Biology (4.5k citations), Infectious Diseases (1.1k citations), Cancer Research (873 citations), Biophysics (245 citations) and Aging (63 citations). Brian B. Tuch has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Alexander D. Johnson, Xiaohui Wang, M. Azim Surani, Cátálin Bárbácioru, Kaiqin Lao, John Bodeau, Clarence Lee, Fuchou Tang, Yangzhou Wang and Asim Siddiqui. Their work appears in journals such as Nature, Annals of Oncology, Science, Blood and Molecular Cancer Therapeutics.
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.