H. Gut
Impact in
- Aging top 5%
- Molecular Biology top 5%
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- DNA Repair Mechanisms
- Ubiquitin and proteasome pathways
- Histone Deacetylase Inhibitors Research
- RNA modifications and cancer
- Protein Degradation and Inhibitors
- Cancer-related gene regulation
Papers in
-
- DNA Repair Mechanisms 5
- RNA Research and Splicing 5
- Genomics and Chromatin Dynamics 3
- Fungal and yeast genetics research 3
- RNA and protein synthesis mechanisms 3
- Glycosylation and Glycoproteins Research 2
- Aging 2
- Co-authors
- Jeremy J. Keusch (10 shared papers)Daniel Heß (3 shared papers)Guido Capitani (5 shared papers)Markus G. Grütter (5 shared papers)Andrea Scrima (2 shared papers)Nicolas H. Thomä (2 shared papers)Mahamadou Faty (2 shared papers)Martin Austin Walsh (3 shared papers)
- Journals
- The EMBO Journal (4 papers)Molecular Cell (3 papers)Cell (2 papers)Journal of Molecular Biology (2 papers)Life Science Alliance (1 paper)
- Partner nations
- SwitzerlandGermanyItaly
In The Last Decade
H. Gut
27 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 97
- Aging 77
- Molecular Biology 1.8k
- Oncology 268
- Cancer Research 128
- Biochemistry 62
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 566 | |
| 2 | 2011 | 380 | |
| 3 | 2016 | 260 | |
| 4 | 2014 | 132 | |
| 5 | 2006 | 90 | |
| 6 | 2009 | 83 | |
| 7 | 2013 | 83 | |
| 8 | 2008 | 63 | |
| 9 | 2012 | 60 | |
| 10 | 2014 | 58 | |
| 11 | 2019 | 57 | |
| 12 | 2016 | 53 | |
| 13 | 2011 | 52 | |
| 14 | 2017 | 52 | |
| 15 | 2012 | 51 | |
| 16 | 2002 | 47 | |
| 17 | 2015 | 46 | |
| 18 | 2018 | 35 | |
| 19 | 2016 | 30 | |
| 20 | 2018 | 26 |
About H. Gut
H. Gut is a scholar working on Molecular Biology, Aging, Immunology, Genetics and Nutrition and Dietetics, having authored 27 papers that have together received 2.3k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), RNA Research and Splicing (5 papers), Enzyme Structure and Function (4 papers), Genomics and Chromatin Dynamics (3 papers), Fungal and yeast genetics research (3 papers), RNA and protein synthesis mechanisms (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Aging (77 citations), Molecular Biology (1.8k citations), Oncology (268 citations), Cancer Research (128 citations) and Biochemistry (62 citations). H. Gut has collaborated with scholars based in Switzerland, Germany and Italy. Frequent co-authors include Jeremy J. Keusch, Daniel Heß, Guido Capitani, Markus G. Grütter, Andrea Scrima, Nicolas H. Thomä, Mahamadou Faty, Martin Austin Walsh, Y. Miyake and Gondichatnahalli M. Lingaraju. Their work appears in journals such as The EMBO Journal, Molecular Cell, Cell, Journal of Molecular Biology and Life Science Alliance.
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.