Robert Dallmann
Impact in
- Endocrine and Autonomic Systems top 0.2%
- Circadian rhythm and melatonin
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
-
- Circadian rhythm and melatonin 30
- Physiology 15
- Dietary Effects on Health 10
- Co-authors
- Steven A. Brown (9 shared papers)Leila Tarokh (2 shared papers)Christian Cajochen (1 shared paper)Antoine Viola (1 shared paper)David R. Weaver (6 shared papers)Alper Okyar (2 shared papers)Francis Lévi (1 shared paper)Francis Albert Lévi (9 shared papers)
- Journals
- Journal of Biological Rhythms (5 papers)PLoS ONE (4 papers)Diabetologia (2 papers)Clinical Pharmacology & Therapeutics (2 papers)iScience (1 paper)
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Robert Dallmann
57 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 151
- Endocrine and Autonomic Systems 1.9k
- Aging 280
- Physiology 1.1k
- Biological Psychiatry 97
- Developmental Biology 76
Countries citing papers authored by Robert Dallmann
This map shows the geographic impact of Robert Dallmann'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 Robert Dallmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Dallmann more than expected).
Fields of papers citing papers by Robert Dallmann
This network shows the impact of papers produced by Robert Dallmann. 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 Robert Dallmann. The network helps show where Robert Dallmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Dallmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 477 | |
| 2 | 2018 | 264 | |
| 3 | 2017 | 251 | |
| 4 | 2014 | 218 | |
| 5 | 2016 | 209 | |
| 6 | 2009 | 198 | |
| 7 | 2013 | 186 | |
| 8 | 2011 | 165 | |
| 9 | 2012 | 164 | |
| 10 | 2006 | 151 | |
| 11 | 2006 | 87 | |
| 12 | 2021 | 87 | |
| 13 | 2010 | 74 | |
| 14 | 2014 | 71 | |
| 15 | 2019 | 69 | |
| 16 | 2018 | 65 | |
| 17 | 2022 | 62 | |
| 18 | 2015 | 54 | |
| 19 | 2018 | 54 | |
| 20 | 2006 | 53 |
About Robert Dallmann
Robert Dallmann is a scholar working on Endocrine and Autonomic Systems, Physiology, Aging, Behavioral Neuroscience and Developmental Biology, having authored 60 papers that have together received 3.7k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (30 papers), Dietary Effects on Health (10 papers), Light effects on plants (6 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Stress Responses and Cortisol (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Advanced Chemical Sensor Technologies (3 papers) and Animal Vocal Communication and Behavior (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.9k citations), Aging (280 citations), Physiology (1.1k citations), Biological Psychiatry (97 citations) and Developmental Biology (76 citations). Robert Dallmann has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Steven A. Brown, Leila Tarokh, Christian Cajochen, Antoine Viola, David R. Weaver, Alper Okyar, Francis Lévi, Francis Albert Lévi, Frédéric Gachon and Annabelle Ballesta. Their work appears in journals such as Journal of Biological Rhythms, PLoS ONE, Diabetologia, Clinical Pharmacology & Therapeutics and iScience.
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.