Robert Huether
- Genetics top 5%
- Genomics and Rare Diseases 6
- BRCA gene mutations in cancer 5
- Genomic variations and chromosomal abnormalities 3
- Cancer Research top 10%
- Cancer Genomics and Diagnostics 7
- Pathology and Forensic Medicine top 10%
- Genetic factors in colorectal cancer 4
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- Acute Myeloid Leukemia Research 3
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- Enzyme Structure and Function 3
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- Aldose Reductase and Taurine 2
- Co-authors
- Tina PesaranElizabeth ChaoRachel McFarlandJill S. DolinskyHolly LaDucaRaymond M. MooreAbigail ThomasChunling Hu
- Journals
- Cancer Research (4 papers)JAMA Oncology (2 papers)Proteins Structure Function and Bioinformatics (2 papers)
- Partner nations
- United StatesRussiaUnited Kingdom
In The Last Decade
Robert Huether
29 papers receiving 997 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Genetics 597
- Cancer Research 295
- Pathology and Forensic Medicine 219
- Oncology 187
- Molecular Biology 423
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 3 | |
| 2 | 2020 | 10 | |
| 3 | 2020 | 31 | |
| 4 | 2018 | 89 | |
| 5 | 2017 | 3 | |
| 6 | 2017 | 12 | |
| 7 | 2016 | 34 | |
| 8 | 2016 | 54 | |
| 9 | 2015 | 52 | |
| 10 | 2015 | 21 | |
| 11 | 2014 | 15 | |
| 12 | 2011 | 1 | |
| 13 | 2010 | 1 | |
| 14 | 2009 | 1 | |
| 15 | 2009 | 10 | |
| 16 | 2007 | 5 | |
| 17 | 2007 | 18 | |
| 18 | 2005 | 12 | |
| 19 | 2005 | 4 | |
| 20 | 2005 | 18 |
About Robert Huether
Robert Huether is a scholar working on Cancer Research, Genetics, Genetics, Pathology and Forensic Medicine and Hematology, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Genomics and Rare Diseases (6 papers), BRCA gene mutations in cancer (5 papers), Genetic factors in colorectal cancer (4 papers), Acute Myeloid Leukemia Research (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Enzyme Structure and Function (3 papers) and Aldose Reductase and Taurine (2 papers). The work is most often cited by research in Genetics (597 citations), Cancer Research (295 citations), Pathology and Forensic Medicine (219 citations), Oncology (187 citations) and Molecular Biology (423 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, Raymond M. Moore, Abigail Thomas, Chunling Hu, David E. Goldgar and Jie Na. Their work appears in journals such as Cancer Research, JAMA Oncology, Proteins Structure Function and Bioinformatics, Journal of Clinical Oncology and Clinical Genetics.
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.