H. Gut
Impact in
- Aging top 5%
- Molecular Biology top 5%
- DNA Repair Mechanisms
- Ubiquitin and proteasome pathways
- Histone Deacetylase Inhibitors Research
- Protein Degradation and Inhibitors
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
Papers in
-
- RNA Research and Splicing 5
- DNA Repair Mechanisms 5
- Fungal and yeast genetics research 3
- RNA and protein synthesis mechanisms 3
- Signaling Pathways in Disease 2
- Genomics and Chromatin Dynamics 2
- Genetics 4
- Bacterial Genetics and Biotechnology 2
- Co-authors
- J.J. Keusch (10 shared papers)Daniel Heß (3 shared papers)Guido Capitani (5 shared papers)Markus G. Grütter (5 shared papers)Mahamadou Faty (2 shared papers)Martin Walsh (3 shared papers)Nicolas H. Thomä (2 shared papers)Andrea Scrima (2 shared papers)
- Journals
- The EMBO Journal (4 papers)Molecular Cell (2 papers)Cell (2 papers)Journal of Molecular Biology (2 papers)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (1 paper)
- Partner nations
- SwitzerlandUnited StatesItaly
In The Last Decade
H. Gut
26 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 95
- Aging 60
- Molecular Biology 1.3k
- Oncology 246
- Biochemistry 63
- Cell Biology 113
Countries citing papers authored by H. Gut
This map shows the geographic impact of H. Gut'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 H. Gut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Gut more than expected).
Fields of papers citing papers by H. Gut
This network shows the impact of papers produced by H. Gut. 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 H. Gut. The network helps show where H. Gut may publish in the future.
Co-authors
The 25 scholars most cited alongside H. Gut, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 363 | |
| 2 | 2016 | 234 | |
| 3 | 2014 | 124 | |
| 4 | 2006 | 90 | |
| 5 | 2013 | 79 | |
| 6 | 2009 | 73 | |
| 7 | 2008 | 62 | |
| 8 | 2014 | 58 | |
| 9 | 2012 | 57 | |
| 10 | 2019 | 53 | |
| 11 | 2016 | 51 | |
| 12 | 2011 | 49 | |
| 13 | 2017 | 49 | |
| 14 | 2012 | 49 | |
| 15 | 2002 | 46 | |
| 16 | 2015 | 43 | |
| 17 | 2018 | 36 | |
| 18 | 2016 | 31 | |
| 19 | 2018 | 25 | |
| 20 | 2013 | 23 |
About H. Gut
H. Gut is a scholar working on Molecular Biology, Genetics, Immunology, Materials Chemistry and Epidemiology, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), DNA Repair Mechanisms (5 papers), Enzyme Structure and Function (4 papers), Fungal and yeast genetics research (3 papers), RNA and protein synthesis mechanisms (3 papers), Signaling Pathways in Disease (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Aging (60 citations), Molecular Biology (1.3k citations), Oncology (246 citations), Biochemistry (63 citations) and Cell Biology (113 citations). H. Gut has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include J.J. Keusch, Daniel Heß, Guido Capitani, Markus G. Grütter, Mahamadou Faty, Martin Walsh, Nicolas H. Thomä, Andrea Scrima, Y. Miyake and Kaoru Sugasawa. Their work appears in journals such as The EMBO Journal, Molecular Cell, Cell, Journal of Molecular Biology and Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.
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.