Robert Huether
Impact in
- Genetics top 5%
- BRCA gene mutations in cancer
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
- Genetics 11
- BRCA gene mutations in cancer 5
- Genomics and Rare Diseases 4
- Genomic variations and chromosomal abnormalities 2
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- RNA and protein synthesis mechanisms 2
- Co-authors
- Tina Pesaran (3 shared papers)Elizabeth Chao (4 shared papers)Rachel McFarland (3 shared papers)Jill S. Dolinsky (3 shared papers)Holly LaDuca (4 shared papers)Steven N. Hart (2 shared papers)Hermela Shimelis (1 shared paper)Emily Hallberg (2 shared papers)
- Journals
- Cancer Research (4 papers)Blood (2 papers)JAMA Oncology (2 papers)Proteins Structure Function and Bioinformatics (2 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- United StatesRussiaUnited Kingdom
In The Last Decade
Robert Huether
29 papers receiving 1.0k citations
Robert Huether's Hit Papers
Peers
Comparison fields: 5 of 87
- Genetics 544
- Cancer Research 214
- Pathology and Forensic Medicine 148
- Oncology 161
- Genetics 53
Countries citing papers authored by Robert Huether
This map shows the geographic impact of Robert Huether'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 Robert Huether with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Huether more than expected).
Fields of papers citing papers by Robert Huether
This network shows the impact of papers produced by Robert Huether. 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 Robert Huether. The network helps show where Robert Huether may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Huether, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Associations Between Cancer Predisposition Testing Panel Genes and Breast Cancer Hit paper breakdown → | 2017 | 408 |
| 2 | 2018 | 122 | |
| 3 | 2018 | 95 | |
| 4 | 2015 | 59 | |
| 5 | 2015 | 55 | |
| 6 | 2016 | 54 | |
| 7 | 2016 | 35 | |
| 8 | 2020 | 32 | |
| 9 | 2019 | 25 | |
| 10 | 2016 | 24 | |
| 11 | 2015 | 22 | |
| 12 | 2005 | 20 | |
| 13 | 2007 | 19 | |
| 14 | 2014 | 16 | |
| 15 | 2005 | 13 | |
| 16 | 2017 | 13 | |
| 17 | 2020 | 12 | |
| 18 | 2009 | 10 | |
| 19 | 2007 | 5 | |
| 20 | 2005 | 4 |
About Robert Huether
Robert Huether is a scholar working on Genetics, Molecular Biology, Genetics, Hematology and Cancer Research, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (5 papers), Cancer Genomics and Diagnostics (4 papers), Genomics and Rare Diseases (4 papers), Acute Myeloid Leukemia Research (3 papers), Enzyme Structure and Function (3 papers), Aldose Reductase and Taurine (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Genetics (544 citations), Cancer Research (214 citations), Pathology and Forensic Medicine (148 citations), Oncology (161 citations) and Genetics (53 citations). Robert Huether has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Tina Pesaran, Elizabeth Chao, Rachel McFarland, Jill S. Dolinsky, Holly LaDuca, Steven N. Hart, Hermela Shimelis, Emily Hallberg, Jenna Lilyquist and David E. Goldgar. Their work appears in journals such as Cancer Research, Blood, JAMA Oncology, Proteins Structure Function and Bioinformatics and Journal of Clinical Oncology.
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.