Christopher M. Lambert
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
-
- Circadian rhythm and melatonin
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)Elizabeth Noton (2 shared papers)Jason P. DeBruyne (2 shared papers)Steven M. Reppert (2 shared papers)Elizabeth S. Maywood (1 shared paper)Elizabeth A. Yu (2 shared papers)Robert Dallmann (1 shared paper)Kazuhiko Machida (1 shared paper)
- Journals
- PLoS Genetics (2 papers)American Journal of Physiology-Endocrinology and Metabolism (1 paper)Nature Communications (1 paper)Journal of Biological Rhythms (1 paper)Development (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Christopher M. Lambert
11 papers receiving 747 citations
Peers
Comparison fields: 5 of 76
- Aging 176
- Endocrine and Autonomic Systems 610
- Cellular and Molecular Neuroscience 194
- Physiology 235
- Cognitive Neuroscience 111
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 | 338 | |
| 2 | 2009 | 186 | |
| 3 | 2005 | 50 | |
| 4 | 2011 | 48 | |
| 5 | 2018 | 43 | |
| 6 | 2014 | 36 | |
| 7 | 2012 | 21 | |
| 8 | 2022 | 11 | |
| 9 | 2017 | 11 | |
| 10 | 2012 | 6 | |
| 11 | 2023 | 4 |
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 754 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), Retinal Development and Disorders (1 paper), GABA and Rice Research (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Aging (176 citations), Endocrine and Autonomic Systems (610 citations), Cellular and Molecular Neuroscience (194 citations), Physiology (235 citations) and Cognitive Neuroscience (111 citations). Christopher M. Lambert has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include David R. Weaver, Elizabeth Noton, Jason P. DeBruyne, Steven M. Reppert, Elizabeth S. Maywood, Elizabeth A. Yu, Robert Dallmann, Kazuhiko Machida, Jean‐Pierre Etchegaray and Cara M. Constance. Their work appears in journals such as PLoS Genetics, American Journal of Physiology-Endocrinology and Metabolism, Nature Communications, Journal of Biological Rhythms and Development.
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.