Daniel D. Lam

6.8k total citations
38 papers, 2.2k citations indexed

About

Daniel D. Lam is a scholar working on Endocrine and Autonomic Systems, Nutrition and Dietetics and Molecular Biology. According to data from OpenAlex, Daniel D. Lam has authored 38 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Endocrine and Autonomic Systems, 14 papers in Nutrition and Dietetics and 9 papers in Molecular Biology. Recurrent topics in Daniel D. Lam's work include Regulation of Appetite and Obesity (18 papers), Biochemical Analysis and Sensing Techniques (14 papers) and Sleep and Wakefulness Research (5 papers). Daniel D. Lam is often cited by papers focused on Regulation of Appetite and Obesity (18 papers), Biochemical Analysis and Sensing Techniques (14 papers) and Sleep and Wakefulness Research (5 papers). Daniel D. Lam collaborates with scholars based in United States, United Kingdom and Germany. Daniel D. Lam's co-authors include Lora K. Heisler, Alastair S. Garfield, Oliver Marston, Magdalena J. Przydzial, Jill Shaw, Justin J. Rochford, Andrew A. Butler, Gregory M. Sutton, Mark L. Evans and Simon H. Ridley and has published in prestigious journals such as Nature Genetics, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Daniel D. Lam

38 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel D. Lam United States 21 813 760 757 397 289 38 2.2k
Chen Liu United States 21 497 0.6× 717 0.9× 619 0.8× 341 0.9× 347 1.2× 43 1.7k
Andrew G. Swick United States 24 851 1.0× 857 1.1× 812 1.1× 441 1.1× 204 0.7× 49 2.5k
Blanka Železná Czechia 27 800 1.0× 618 0.8× 636 0.8× 304 0.8× 493 1.7× 111 2.0k
Agharul I. Choudhury United Kingdom 20 679 0.8× 836 1.1× 900 1.2× 292 0.7× 199 0.7× 27 2.0k
Krzysztof W. Nowak Poland 29 633 0.8× 1.1k 1.5× 697 0.9× 299 0.8× 414 1.4× 153 2.7k
Clémence Blouet United Kingdom 22 528 0.6× 933 1.2× 852 1.1× 379 1.0× 174 0.6× 34 2.0k
Puspha Sinnayah Australia 20 445 0.5× 1.1k 1.4× 940 1.2× 511 1.3× 152 0.5× 41 2.4k
Corinne Leloup France 31 978 1.2× 799 1.1× 1.0k 1.4× 364 0.9× 327 1.1× 71 2.9k
Stephan J. Guyenet United States 20 818 1.0× 1.3k 1.6× 1.3k 1.8× 497 1.3× 513 1.8× 23 3.5k

Countries citing papers authored by Daniel D. Lam

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel D. Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel D. Lam. A scholar is included among the top collaborators of Daniel D. Lam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel D. Lam. Daniel D. Lam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dvoretskova, Elena, Ilaria Vitali, Daniel D. Lam, et al.. (2024). Spatial enhancer activation influences inhibitory neuron identity during mouse embryonic development. Nature Neuroscience. 27(5). 862–872. 12 indexed citations
2.
Lam, Daniel D., et al.. (2024). Inspiring Student Entrepreneurship and Innovation. Cureus. 16(10). e71195–e71195. 1 indexed citations
3.
Zhao, Chen, Daniel D. Lam, Wojciech Krężel, et al.. (2024). RLS-associated MEIS transcription factors control distinct processes in human neural stem cells. Scientific Reports. 14(1). 28986–28986. 1 indexed citations
4.
Lam, Daniel D., Ana Nikolić, Chen Zhao, et al.. (2021). Intronic elements associated with insomnia and restless legs syndrome exhibit cell-type-specific epigenetic features contributing to MEIS1 regulation. Human Molecular Genetics. 31(11). 1733–1746. 5 indexed citations
5.
Enache, Oana M., Verónica Rendo, Mai Abdusamad, et al.. (2020). Author Correction: Cas9 activates the p53 pathway and selects for p53-inactivating mutations. Nature Genetics. 52(7). 748–749. 10 indexed citations
6.
Salminen, Aaro V., Daniel D. Lam, & Juliane Winkelmann. (2019). Role of MEIS1 in restless legs syndrome: From GWAS to functional studies in mice. Advances in pharmacology. 84. 175–184. 21 indexed citations
7.
Zech, Michael, Daniel D. Lam, & Juliane Winkelmann. (2019). Update on KMT2B-Related Dystonia. Current Neurology and Neuroscience Reports. 19(11). 92–92. 31 indexed citations
8.
Sailani, M. Reza, Fereshteh Jahanbani, Jafar Nasiri, et al.. (2017). Association of AHSG with alopecia and mental retardation (APMR) syndrome. Human Genetics. 136(3). 287–296. 12 indexed citations
9.
Zech, Michael, Daniel D. Lam, Ludmila Francescatto, et al.. (2015). Recessive Mutations in the α3 (VI) Collagen Gene COL6A3 Cause Early-Onset Isolated Dystonia. The American Journal of Human Genetics. 96(6). 883–893. 61 indexed citations
10.
Lam, Daniel D., Flávio S. J. de Souza, Sofía Nasif, et al.. (2015). Partially Redundant Enhancers Cooperatively Maintain Mammalian Pomc Expression Above a Critical Functional Threshold. PLoS Genetics. 11(2). e1004935–e1004935. 85 indexed citations
11.
12.
Nieland, Thomas J.F., David J. Logan, Jessica L. Saulnier, et al.. (2014). High Content Image Analysis Identifies Novel Regulators of Synaptogenesis in a High-Throughput RNAi Screen of Primary Neurons. PLoS ONE. 9(3). e91744–e91744. 35 indexed citations
13.
Osundiji, Mayowa A., Daniel D. Lam, Jill Shaw, et al.. (2011). Brain Glucose Sensors Play a Significant Role in the Regulation of Pancreatic Glucose-Stimulated Insulin Secretion. Diabetes. 61(2). 321–328. 53 indexed citations
14.
Zhou, Ligang, Chen-Yu Yueh, Daniel D. Lam, et al.. (2011). Glucokinase inhibitor glucosamine stimulates feeding and activates hypothalamic neuropeptide Y and orexin neurons. Behavioural Brain Research. 222(1). 274–278. 19 indexed citations
15.
Heisler, Lora K. & Daniel D. Lam. (2010). Mechanisms of serotonin regulating food intake: the role of the melanocortin pathway. 21. 1 indexed citations
16.
Lam, Daniel D., Alastair S. Garfield, Oliver Marston, Jill Shaw, & Lora K. Heisler. (2010). Brain serotonin system in the coordination of food intake and body weight. Pharmacology Biochemistry and Behavior. 97(1). 84–91. 207 indexed citations
17.
Garfield, Alastair S., Daniel D. Lam, Oliver Marston, Magdalena J. Przydzial, & Lora K. Heisler. (2009). Role of central melanocortin pathways in energy homeostasis. Trends in Endocrinology and Metabolism. 20(5). 203–215. 105 indexed citations
18.
Lam, Daniel D., Ligang Zhou, Andreas Vegge, et al.. (2008). Distribution and neurochemical characterization of neurons within the nucleus of the solitary tract responsive to serotonin agonist-induced hypophagia. Behavioural Brain Research. 196(1). 139–143. 27 indexed citations
19.
Zhou, Ligang, Gregory M. Sutton, Justin J. Rochford, et al.. (2007). Serotonin 2C Receptor Agonists Improve Type 2 Diabetes via Melanocortin-4 Receptor Signaling Pathways. Cell Metabolism. 6(5). 398–405. 177 indexed citations
20.

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.

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