Alan Gerber
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
-
- Circadian rhythm and melatonin
Papers in
-
- Circadian rhythm and melatonin 4
- Aging 2
- Genetics, Aging, and Longevity in Model Organisms 2
- Co-authors
- Ueli Schibler (3 shared papers)Robert G. Roeder (3 shared papers)François Pierre Pralong (1 shared paper)Richard Treisman (1 shared paper)Grégory Aubert (1 shared paper)Cyril Esnault (1 shared paper)Daniel Mauvoisin (1 shared paper)Jingkui Wang (1 shared paper)
- Journals
- Cell (2 papers)Angewandte Chemie International Edition (2 papers)Proceedings of the National Academy of Sciences (2 papers)Molecular Cell (1 paper)BMC Neuroscience (1 paper)
- Partner nations
- NetherlandsUnited StatesSwitzerland
In The Last Decade
Alan Gerber
15 papers receiving 664 citations
Peers
Comparison fields: 5 of 80
- Aging 60
- Endocrine and Autonomic Systems 202
- Health, Toxicology and Mutagenesis 115
- Physiology 152
- Developmental Neuroscience 17
Countries citing papers authored by Alan Gerber
This map shows the geographic impact of Alan Gerber'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 Alan Gerber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Gerber more than expected).
Fields of papers citing papers by Alan Gerber
This network shows the impact of papers produced by Alan Gerber. 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 Alan Gerber. The network helps show where Alan Gerber may publish in the future.
Co-authors
The 25 scholars most cited alongside Alan Gerber, 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 | 2017 | 162 | |
| 2 | 2009 | 136 | |
| 3 | 2013 | 130 | |
| 4 | 2021 | 59 | |
| 5 | 2020 | 50 | |
| 6 | 2007 | 39 | |
| 7 | 2015 | 30 | |
| 8 | 2020 | 26 | |
| 9 | 2020 | 13 | |
| 10 | 2023 | 10 | |
| 11 | 2024 | 8 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2025 | 2 | |
| 16 | 2026 | 0 |
About Alan Gerber
Alan Gerber is a scholar working on Endocrine and Autonomic Systems, Aging, Molecular Biology, Physiology and Developmental Neuroscience, having authored 16 papers that have together received 680 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Circadian rhythm and melatonin (4 papers), RNA modifications and cancer (3 papers), RNA and protein synthesis mechanisms (3 papers), Spaceflight effects on biology (2 papers), Cancer-related gene regulation (2 papers), Genomics and Chromatin Dynamics (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Aging (60 citations), Endocrine and Autonomic Systems (202 citations), Health, Toxicology and Mutagenesis (115 citations), Physiology (152 citations) and Developmental Neuroscience (17 citations). Alan Gerber has collaborated with scholars based in Netherlands, United States and Switzerland. Frequent co-authors include Ueli Schibler, Robert G. Roeder, François Pierre Pralong, Richard Treisman, Grégory Aubert, Cyril Esnault, Daniel Mauvoisin, Jingkui Wang, Frédéric Gachon and David Gatfield. Their work appears in journals such as Cell, Angewandte Chemie International Edition, Proceedings of the National Academy of Sciences, Molecular Cell and BMC Neuroscience.
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.