Lou Götz
Impact in
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- Circadian rhythm and melatonin
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- Metabolomics and Mass Spectrometry Studies
- Glycosylation and Glycoproteins Research
- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
Papers in
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- Metabolomics and Mass Spectrometry Studies 2
- Single-cell and spatial transcriptomics 1
- Machine Learning in Bioinformatics 1
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- Circadian rhythm and melatonin 2
- Co-authors
- Robin Liechti (5 shared papers)Ioannis Xénarios (4 shared papers)Fabrice David (1 shared paper)Gijs R. van den Brink (1 shared paper)Howard Riezman (1 shared paper)Lucila Aimo (1 shared paper)Anne Niknejad (1 shared paper)Lydie Bougueleret (1 shared paper)
- Journals
- Bioinformatics (2 papers)Journal of Clinical Investigation (1 paper)PLoS Biology (1 paper)Scientific Reports (1 paper)npj Systems Biology and Applications (1 paper)
- Partner nations
- SwitzerlandAustraliaUnited States
In The Last Decade
Lou Götz
7 papers receiving 219 citations
Peers
Comparison fields: 5 of 62
- Endocrine and Autonomic Systems 40
- Molecular Biology 155
- Spectroscopy 37
- Aging 3
- Biological Psychiatry 3
Countries citing papers authored by Lou Götz
This map shows the geographic impact of Lou Götz'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 Lou Götz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lou Götz more than expected).
Fields of papers citing papers by Lou Götz
This network shows the impact of papers produced by Lou Götz. 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 Lou Götz. The network helps show where Lou Götz may publish in the future.
Co-authors
The 25 scholars most cited alongside Lou Götz, 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 | 2015 | 94 | |
| 2 | 2018 | 36 | |
| 3 | 2014 | 27 | |
| 4 | 2022 | 20 | |
| 5 | 2016 | 20 | |
| 6 | 2023 | 18 | |
| 7 | 2016 | 5 |
About Lou Götz
Lou Götz is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Physiology, Organic Chemistry and Cognitive Neuroscience, having authored 7 papers that have together received 220 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (2 papers), Circadian rhythm and melatonin (2 papers), Single-cell and spatial transcriptomics (1 paper), Cancer Genomics and Diagnostics (1 paper), Cell Image Analysis Techniques (1 paper), Machine Learning in Bioinformatics (1 paper), Zebrafish Biomedical Research Applications (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (40 citations), Molecular Biology (155 citations), Spectroscopy (37 citations), Aging (3 citations) and Biological Psychiatry (3 citations). Lou Götz has collaborated with scholars based in Switzerland, Australia and United States. Frequent co-authors include Robin Liechti, Ioannis Xénarios, Fabrice David, Gijs R. van den Brink, Howard Riezman, Lucila Aimo, Anne Niknejad, Lydie Bougueleret, Anne Gleizes and Dmitry Kuznetsov. Their work appears in journals such as Bioinformatics, Journal of Clinical Investigation, PLoS Biology, Scientific Reports and npj Systems Biology and Applications.
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.