Daniel D. Lam
Impact in
- Endocrine and Autonomic Systems top 0.5%
- Regulation of Appetite and Obesity
- Physiology top 2%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
Papers in
-
- Regulation of Appetite and Obesity 18
-
- Biochemical Analysis and Sensing Techniques 14
- Co-authors
- Lora K. Heisler (16 shared papers)Alastair S. Garfield (6 shared papers)Oliver Marston (3 shared papers)Magdalena J. Przydzial (3 shared papers)Jill Shaw (3 shared papers)Justin J. Rochford (3 shared papers)Gregory M. Sutton (2 shared papers)Andrew A. Butler (2 shared papers)
- Journals
- Cell Metabolism (3 papers)Behavioural Brain Research (3 papers)Nature Genetics (2 papers)Diabetes (2 papers)Endocrinology (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Daniel D. Lam
38 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 119
- Endocrine and Autonomic Systems 733
- Physiology 696
- Nutrition and Dietetics 350
- Behavioral Neuroscience 57
- Biological Psychiatry 35
Countries citing papers authored by Daniel D. Lam
This map shows the geographic impact of Daniel D. Lam'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 Daniel D. Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel D. Lam more than expected).
Fields of papers citing papers by Daniel D. Lam
This network shows the impact of papers produced by Daniel D. Lam. 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 Daniel D. Lam. The network helps show where Daniel D. Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel D. Lam, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 389 | |
| 2 | 2007 | 230 | |
| 3 | 2010 | 219 | |
| 4 | 2020 | 212 | |
| 5 | 2007 | 186 | |
| 6 | 2007 | 127 | |
| 7 | 2009 | 111 | |
| 8 | 2015 | 91 | |
| 9 | 2017 | 83 | |
| 10 | 2016 | 73 | |
| 11 | 2015 | 66 | |
| 12 | 2016 | 65 | |
| 13 | 2011 | 60 | |
| 14 | 2011 | 54 | |
| 15 | 2007 | 48 | |
| 16 | 2015 | 40 | |
| 17 | 2019 | 38 | |
| 18 | 2014 | 37 | |
| 19 | 2008 | 31 | |
| 20 | 2015 | 30 |
About Daniel D. Lam
Daniel D. Lam is a scholar working on Endocrine and Autonomic Systems, Nutrition and Dietetics, Molecular Biology, Physiology and Genetics, having authored 38 papers that have together received 2.3k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (18 papers), Biochemical Analysis and Sensing Techniques (14 papers), Sleep and Wakefulness Research (5 papers), Genetics and Neurodevelopmental Disorders (4 papers), Restless Legs Syndrome Research (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Adipose Tissue and Metabolism (3 papers) and Pharmacology and Obesity Treatment (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (733 citations), Physiology (696 citations), Nutrition and Dietetics (350 citations), Behavioral Neuroscience (57 citations) and Biological Psychiatry (35 citations). Daniel D. Lam has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Lora K. Heisler, Alastair S. Garfield, Oliver Marston, Magdalena J. Przydzial, Jill Shaw, Justin J. Rochford, Gregory M. Sutton, Andrew A. Butler, Mark L. Evans and Giles S.H. Yeo. Their work appears in journals such as Cell Metabolism, Behavioural Brain Research, Nature Genetics, Diabetes and Endocrinology.
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.