K. Huber
Impact in
- Physiology top 2%
- Molecular Biology top 5%
- Protein Degradation and Inhibitors
- PI3K/AKT/mTOR signaling in cancer
- Cell death mechanisms and regulation
Papers in
-
- Protein Degradation and Inhibitors 11
- Ubiquitin and proteasome pathways 6
- Histone Deacetylase Inhibitors Research 4
- RNA Research and Splicing 3
- Oncology 11
- Peptidase Inhibition and Analysis 6
- Co-authors
- Giulio Superti‐Furga (17 shared papers)Franz Bracher (12 shared papers)Stefan Knapp (7 shared papers)Keiryn L. Bennett (7 shared papers)Jacques Colinge (6 shared papers)Christelle Gasser (2 shared papers)L. Brault (1 shared paper)Juerg Schwaller (1 shared paper)
- Journals
- Nature Chemical Biology (4 papers)Journal of Medicinal Chemistry (4 papers)ACS Chemical Biology (3 papers)Chemical Science (2 papers)ChemMedChem (2 papers)
- Partner nations
- United KingdomGermanyAustria
In The Last Decade
K. Huber
59 papers receiving 3.1k citations
K. Huber's Hit Papers
Peers
Comparison fields: 5 of 119
- Physiology 123
- Molecular Biology 1.8k
- Pathology and Forensic Medicine 406
- Oncology 610
- Geriatrics and Gerontology 72
Countries citing papers authored by K. Huber
This map shows the geographic impact of K. Huber'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 K. Huber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Huber more than expected).
Fields of papers citing papers by K. Huber
This network shows the impact of papers produced by K. Huber. 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 K. Huber. The network helps show where K. Huber may publish in the future.
Co-authors
The 25 scholars most cited alongside K. Huber, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SLC38A9 is a component of the lysosomal amino acid sensing machinery that controls mTORC1 Hit paper breakdown → | 2015 | 515 |
| 2 | 2010 | 305 | |
| 3 | 2014 | 301 | |
| 4 | 2015 | 165 | |
| 5 | 2011 | 164 | |
| 6 | 2015 | 159 | |
| 7 | 2014 | 129 | |
| 8 | 2015 | 122 | |
| 9 | 2017 | 107 | |
| 10 | 2013 | 85 | |
| 11 | 1974 | 83 | |
| 12 | 2020 | 82 | |
| 13 | 2011 | 63 | |
| 14 | 2009 | 57 | |
| 15 | 2011 | 52 | |
| 16 | 2017 | 51 | |
| 17 | 2018 | 50 | |
| 18 | 2020 | 44 | |
| 19 | 2013 | 43 | |
| 20 | 2020 | 41 |
About K. Huber
K. Huber is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Pathology and Forensic Medicine and Epidemiology, having authored 60 papers that have together received 3.1k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (11 papers), Ubiquitin and proteasome pathways (6 papers), Peptidase Inhibition and Analysis (6 papers), Click Chemistry and Applications (6 papers), Cancer Mechanisms and Therapy (5 papers), Histone Deacetylase Inhibitors Research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Physiology (123 citations), Molecular Biology (1.8k citations), Pathology and Forensic Medicine (406 citations), Oncology (610 citations) and Geriatrics and Gerontology (72 citations). K. Huber has collaborated with scholars based in United Kingdom, Germany and Austria. Frequent co-authors include Giulio Superti‐Furga, Franz Bracher, Stefan Knapp, Keiryn L. Bennett, Jacques Colinge, Christelle Gasser, L. Brault, Juerg Schwaller, Manuela Gridling and Johannes W. Bigenzahn. Their work appears in journals such as Nature Chemical Biology, Journal of Medicinal Chemistry, ACS Chemical Biology, Chemical Science and ChemMedChem.
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.