Tait Huso
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in
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- Genomics and Chromatin Dynamics 3
- Epigenetics and DNA Methylation 2
- RNA modifications and cancer 2
- Glycosylation and Glycoproteins Research 1
- Metabolomics and Mass Spectrometry Studies 1
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- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Linda Resar (9 shared papers)David L. Huso (6 shared papers)Amy Belton (5 shared papers)Lingling Xian (5 shared papers)Leslie Cope (5 shared papers)Lionel Chia (1 shared paper)Chandra Inglis (1 shared paper)Takita Felder Sumter (1 shared paper)
- Journals
- Journal of Proteome Research (2 papers)Nature Communications (1 paper)Pancreatology (1 paper)Current Molecular Medicine (1 paper)Transfusion (1 paper)
- Partner nations
- United States
In The Last Decade
Tait Huso
10 papers receiving 358 citations
Peers
Comparison fields: 5 of 51
- Cancer Research 170
- Molecular Biology 249
- Immunology 43
- Oncology 51
- Geriatrics and Gerontology 5
Countries citing papers authored by Tait Huso
This map shows the geographic impact of Tait Huso'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 Tait Huso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tait Huso more than expected).
Fields of papers citing papers by Tait Huso
This network shows the impact of papers produced by Tait Huso. 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 Tait Huso. The network helps show where Tait Huso may publish in the future.
Co-authors
The 25 scholars most cited alongside Tait Huso, 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 | 2016 | 93 | |
| 2 | 2011 | 67 | |
| 3 | 2017 | 66 | |
| 4 | 2014 | 33 | |
| 5 | 2012 | 32 | |
| 6 | 2015 | 31 | |
| 7 | 2016 | 27 | |
| 8 | 2016 | 11 | |
| 9 | 2016 | 1 | |
| 10 | 2023 | 1 |
About Tait Huso
Tait Huso is a scholar working on Molecular Biology, Cancer Research, Oncology, Biochemistry and Immunology, having authored 10 papers that have together received 362 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Epigenetics and DNA Methylation (2 papers), RNA modifications and cancer (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Glycosylation and Glycoproteins Research (1 paper), Cancer Cells and Metastasis (1 paper), Immunotherapy and Immune Responses (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). The work is most often cited by research in Cancer Research (170 citations), Molecular Biology (249 citations), Immunology (43 citations), Oncology (51 citations) and Geriatrics and Gerontology (5 citations). Tait Huso has collaborated with scholars based in United States. Frequent co-authors include Linda Resar, David L. Huso, Amy Belton, Lingling Xian, Leslie Cope, Lionel Chia, Chandra Inglis, Takita Felder Sumter, Sandeep N. Shah and Francescopaolo Di Cello. Their work appears in journals such as Journal of Proteome Research, Nature Communications, Pancreatology, Current Molecular Medicine and Transfusion.
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.