Daniel Gygi
- Endocrinology top 5%
- Vibrio bacteria research studies 2
- Microbiology top 5%
- Microbial infections and disease research 4
- Aging top 10%
- Molecular Medicine top 5%
- Physiology top 5%
- Nitric Oxide and Endothelin Effects 3
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- Bacteriophages and microbial interactions 6
- Microbial Community Ecology and Physiology 2
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- Protist diversity and phylogeny 5
- Photosynthetic Processes and Mechanisms 5
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- Bacterial Genetics and Biotechnology 5
- Co-authors
- Colin HughesThomas F. LüscherHsin‐Chih LaiBernd van der LooMarkus BachschmidRalf LabuggerJeremy N. SkepperJuliane Kilo
- Cited by
- EndocrinologyMicrobiologyAging
- Journals
- Molecular Microbiology (6 papers)Journal of Bacteriology (2 papers)Infection and Immunity (2 papers)
- Partner nations
- SwitzerlandUnited KingdomGermany
In The Last Decade
Daniel Gygi
20 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Endocrinology 161
- Microbiology 149
- Aging 31
- Molecular Medicine 75
- Physiology 380
Countries citing papers authored by Daniel Gygi
This map shows the geographic impact of Daniel Gygi'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 Daniel Gygi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gygi more than expected).
Fields of papers citing papers by Daniel Gygi
This network shows the impact of papers produced by Daniel Gygi. 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 Daniel Gygi. The network helps show where Daniel Gygi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Gygi, 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 | 2006 | 15 | |
| 2 | 2005 | 27 | |
| 3 | 2003 | 11 | |
| 4 | 2003 | 17 | |
| 5 | Enhanced Peroxynitrite Formation Is Associated with Vascular Agingbreakdown → | 2000 | 569 |
| 6 | 1999 | 38 | |
| 7 | 1999 | 52 | |
| 8 | 1998 | 21 | |
| 9 | 1997 | 34 | |
| 10 | 1997 | 56 | |
| 11 | 1995 | 106 | |
| 12 | 1995 | 61 | |
| 13 | 1993 | 93 | |
| 14 | 1993 | 39 | |
| 15 | 1992 | 22 | |
| 16 | 1991 | 8 | |
| 17 | 1991 | 61 | |
| 18 | 1990 | 72 | |
| 19 | 1988 | 8 | |
| 20 | 1986 | 5 |
About Daniel Gygi
Daniel Gygi is a scholar working on Microbiology, Endocrinology, Ecology, Biochemistry and Molecular Medicine, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (6 papers), Protist diversity and phylogeny (5 papers), Photosynthetic Processes and Mechanisms (5 papers), Bacterial Genetics and Biotechnology (5 papers), Microbial infections and disease research (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Microbial Community Ecology and Physiology (2 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Endocrinology (161 citations), Microbiology (149 citations), Aging (31 citations), Molecular Medicine (75 citations) and Physiology (380 citations). Daniel Gygi has collaborated with scholars based in Switzerland, United Kingdom and Germany. Frequent co-authors include Colin Hughes, Thomas F. Lüscher, Hsin‐Chih Lai, Bernd van der Loo, Markus Bachschmid, Ralf Labugger, Jeremy N. Skepper, Juliane Kilo, Tadeusz Maliñski and Janet M. Powell. Their work appears in journals such as Molecular Microbiology, Journal of Bacteriology, Infection and Immunity, Biochemical and Biophysical Research Communications and BMC Microbiology.
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.