Daniel D. Lam
Impact in
- Endocrine and Autonomic Systems top 0.5%
- Regulation of Appetite and Obesity
- Biological Psychiatry top 10%
Papers in
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- Regulation of Appetite and Obesity 19
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- Neurological disorders and treatments 4
- Co-authors
- Lora K. Heisler (16 shared papers)Alastair S. Garfield (6 shared papers)Oliver J. Marston (3 shared papers)Magdalena J. Przydzial (3 shared papers)Jill Shaw (3 shared papers)Justin J. Rochford (3 shared papers)Juliane Winkelmann (11 shared papers)Gregory M. Sutton (2 shared papers)
- Journals
- Behavioural Brain Research (3 papers)Cell Metabolism (3 papers)Endocrinology (2 papers)Molecular Metabolism (2 papers)Diabetes (2 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Daniel D. Lam
32 papers receiving 2k citations
Peers
Comparison fields: 5 of 95
- Endocrine and Autonomic Systems 762
- Biological Psychiatry 19
- Cellular and Molecular Neuroscience 203
- Pharmacology 145
- Neurology 109
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 411 | |
| 2 | 2007 | 232 | |
| 3 | 2010 | 227 | |
| 4 | 2007 | 188 | |
| 5 | 2007 | 128 | |
| 6 | 2009 | 117 | |
| 7 | 2017 | 91 | |
| 8 | 2015 | 88 | |
| 9 | 2016 | 75 | |
| 10 | 2015 | 73 | |
| 11 | 2011 | 63 | |
| 12 | 2011 | 56 | |
| 13 | 2007 | 50 | |
| 14 | 2019 | 48 | |
| 15 | 2015 | 45 | |
| 16 | 2008 | 33 | |
| 17 | 2015 | 32 | |
| 18 | 2019 | 25 | |
| 19 | 2011 | 20 | |
| 20 | 2019 | 19 |
About Daniel D. Lam
Daniel D. Lam is a scholar working on Endocrine and Autonomic Systems, Neurology, Epidemiology, Developmental Neuroscience and Pharmacology, having authored 33 papers that have together received 2.1k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (19 papers), Restless Legs Syndrome Research (5 papers), Neurological disorders and treatments (4 papers), Genomics and Chromatin Dynamics (2 papers), Pancreatic function and diabetes (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Hypothalamic control of reproductive hormones (1 paper) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (762 citations), Biological Psychiatry (19 citations), Cellular and Molecular Neuroscience (203 citations), Pharmacology (145 citations) and Neurology (109 citations). Daniel D. Lam has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Lora K. Heisler, Alastair S. Garfield, Oliver J. Marston, Magdalena J. Przydzial, Jill Shaw, Justin J. Rochford, Juliane Winkelmann, Gregory M. Sutton, Andrew A. Butler and Mark L. Evans. Their work appears in journals such as Behavioural Brain Research, Cell Metabolism, Endocrinology, Molecular Metabolism and Diabetes.
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.