Florian Gnad
- Spectroscopy top 0.1%
- Advanced Proteomics Techniques and Applications 22
- Mass Spectrometry Techniques and Applications 8
- Molecular Biology top 0.2%
- Ubiquitin and proteasome pathways 9
- Bioinformatics and Genomic Networks 8
- Genomics and Phylogenetic Studies 7
- RNA and protein synthesis mechanisms 6
- Geriatrics and Gerontology top 0.5%
- Cell Biology top 0.5%
- Oncology top 1%
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- Cancer Genomics and Diagnostics 6
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- Enzyme Structure and Function 6
- Co-authors
- Matthias MannJesper V. OlsenChanchal KumarBoris MačekChunaram ChoudharyTobias C. WaltherMichael L. NielsenMichael Rehman
- Journals
- Molecular & Cellular Proteomics (8 papers)PROTEOMICS (6 papers)Journal of Proteome Research (5 papers)
- Partner nations
- GermanyUnited StatesDenmark
In The Last Decade
Florian Gnad
54 papers receiving 13.4k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Spectroscopy 3.3k
- Molecular Biology 11.3k
- Geriatrics and Gerontology 501
- Cell Biology 1.7k
- Oncology 1.9k
Countries citing papers authored by Florian Gnad
This map shows the geographic impact of Florian Gnad'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 Florian Gnad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Gnad more than expected).
Fields of papers citing papers by Florian Gnad
This network shows the impact of papers produced by Florian Gnad. 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 Florian Gnad. The network helps show where Florian Gnad may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Florian Gnad, 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 | 2019 | 9 | |
| 2 | 2019 | 8 | |
| 3 | 2018 | 23 | |
| 4 | 2017 | 19 | |
| 5 | 2016 | 7 | |
| 6 | 2016 | 7 | |
| 7 | 2013 | 160 | |
| 8 | 2012 | 231 | |
| 9 | 2012 | 14 | |
| 10 | 2010 | 260 | |
| 11 | Precision Mapping of an In Vivo N-Glycoproteome Reveals Rigid Topological and Sequence Constraintsbreakdown → | 2010 | 748 |
| 12 | 2010 | 79 | |
| 13 | 2010 | 323 | |
| 14 | 2009 | 58 | |
| 15 | Lysine Acetylation Targets Protein Complexes and Co-Regulates Major Cellular Functionsbreakdown → | 2009 | 3252 |
| 16 | 2009 | 247 | |
| 17 | 2008 | 129 | |
| 18 | 2007 | 354 | |
| 19 | 2007 | 378 | |
| 20 | 2006 | 83 |
About Florian Gnad
Florian Gnad is a scholar working on Spectroscopy, Aging and Molecular Biology, having authored 54 papers that have together received 13.6k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (22 papers), Ubiquitin and proteasome pathways (9 papers), Mass Spectrometry Techniques and Applications (8 papers), Bioinformatics and Genomic Networks (8 papers), Genomics and Phylogenetic Studies (7 papers), Cancer Genomics and Diagnostics (6 papers), RNA and protein synthesis mechanisms (6 papers) and Enzyme Structure and Function (6 papers). The work is most often cited by research in Spectroscopy (3.3k citations), Molecular Biology (11.3k citations) and Geriatrics and Gerontology (501 citations). Florian Gnad has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Matthias Mann, Jesper V. Olsen, Chanchal Kumar, Boris Maček, Chunaram Choudhary, Tobias C. Walther, Michael L. Nielsen, Michael Rehman, Blagoy Blagoev and Peter Mortensen. Their work appears in journals such as Molecular & Cellular Proteomics, PROTEOMICS, Journal of Proteome Research, Bioinformatics and Molecular Cell.
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.