Christopher M. Lambert
Impact in
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- Circadian rhythm and melatonin
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
-
- Circadian rhythm and melatonin 10
- Aging 6
- Genetics, Aging, and Longevity in Model Organisms 6
- Co-authors
- David R. Weaver (6 shared papers)Jason P. DeBruyne (2 shared papers)Steven M. Reppert (2 shared papers)Elizabeth Noton (2 shared papers)Elizabeth S. Maywood (1 shared paper)Elizabeth A. Yu (2 shared papers)Jean‐Pierre Etchegaray (1 shared paper)Cara M. Constance (1 shared paper)
- Journals
- PLoS Genetics (2 papers)PLoS ONE (1 paper)Nature Communications (1 paper)Development (1 paper)Neuron (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Christopher M. Lambert
11 papers receiving 781 citations
Peers
Comparison fields: 5 of 72
- Endocrine and Autonomic Systems 640
- Aging 179
- Cellular and Molecular Neuroscience 198
- Physiology 226
- Cognitive Neuroscience 114
Countries citing papers authored by Christopher M. Lambert
This map shows the geographic impact of Christopher M. Lambert'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 Christopher M. Lambert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher M. Lambert more than expected).
Fields of papers citing papers by Christopher M. Lambert
This network shows the impact of papers produced by Christopher M. Lambert. 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 Christopher M. Lambert. The network helps show where Christopher M. Lambert may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher M. Lambert, 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 | 360 | |
| 2 | 2009 | 193 | |
| 3 | 2005 | 52 | |
| 4 | 2011 | 52 | |
| 5 | 2018 | 44 | |
| 6 | 2014 | 37 | |
| 7 | 2012 | 21 | |
| 8 | 2022 | 12 | |
| 9 | 2017 | 12 | |
| 10 | 2012 | 6 | |
| 11 | 2023 | 5 |
About Christopher M. Lambert
Christopher M. Lambert is a scholar working on Endocrine and Autonomic Systems, Aging, Cellular and Molecular Neuroscience, Social Psychology and Physiology, having authored 11 papers that have together received 794 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (10 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Neurobiology and Insect Physiology Research (3 papers), Photoreceptor and optogenetics research (2 papers), Neuroendocrine regulation and behavior (2 papers), Neuroscience and Neural Engineering (1 paper), Light effects on plants (1 paper) and GABA and Rice Research (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (640 citations), Aging (179 citations), Cellular and Molecular Neuroscience (198 citations), Physiology (226 citations) and Cognitive Neuroscience (114 citations). Christopher M. Lambert has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include David R. Weaver, Jason P. DeBruyne, Steven M. Reppert, Elizabeth Noton, Elizabeth S. Maywood, Elizabeth A. Yu, Jean‐Pierre Etchegaray, Cara M. Constance, Robert Dallmann and Kazuhiko Machida. Their work appears in journals such as PLoS Genetics, PLoS ONE, Nature Communications, Development and Neuron.
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.