Daniel G. Smith

17 papers receiving 535 citations

Peers

Daniel G. Smith
Comparison fields: 5 of 81
  • Endocrine and Autonomic Systems 156
  • Behavioral Neuroscience 52
  • Cellular and Molecular Neuroscience 214
  • Nutrition and Dietetics 99
  • Biological Psychiatry 14
Replace T. C. Anand Kumar with:
T. C. Anand Kumar India
Norifumi Konno Japan
Andrea Murillo Colombia
L. A. Chouinard Canada
Joanna H. Śliwowska Poland
Ralf Elvert Germany
Roberto Chavira Mexico
Luis A. Martinez United States
Teiichiro Tonoue Japan
Maureen N. Cowan United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel G. Smith

Since Specialization
Citations

This map shows the geographic impact of Daniel G. Smith'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 G. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel G. Smith more than expected).

Fields of papers citing papers by Daniel G. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel G. Smith. 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 G. Smith. The network helps show where Daniel G. Smith may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel G. Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel G. Smith Line = papers co-authored together Daniel G. Smith links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2011112
2 200593
3 200163
4 199954
5 200939
6 200837
7 200133
8 200725
9 199525
10 200120
11 200615
12 200313
13 20189
14 20139
15 20027
16 20235
17
An analysis of the contributions of donkey ownership to the livelihoods of poor urban and peri-urban dwellers in Ethiopia.
20041
18 20250

About Daniel G. Smith

Daniel G. Smith is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Nutrition and Dietetics, Pathology and Forensic Medicine and Behavioral Neuroscience, having authored 18 papers that have together received 560 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Regulation of Appetite and Obesity (5 papers), Biochemical Analysis and Sensing Techniques (4 papers), Alcohol Consumption and Health Effects (2 papers), Adipose Tissue and Metabolism (2 papers), Stress Responses and Cortisol (2 papers) and HIV Research and Treatment (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (156 citations), Behavioral Neuroscience (52 citations), Cellular and Molecular Neuroscience (214 citations), Nutrition and Dietetics (99 citations) and Biological Psychiatry (14 citations). Daniel G. Smith has collaborated with scholars based in United States, Denmark and Poland. Frequent co-authors include Alexander C.W. Smith, Brendan M. Walker, Donald R. Gehlert, George G. Nomikos, Mark Wade, William J. McBride, Jennifer E. Learn, Richard Davis, Eleni T. Tzavara and Craig R. Salhoff. Their work appears in journals such as Alcohol, Frontiers in Psychiatry, Behavioural Brain Research, Brain Research and American Journal of Obstetrics and Gynecology.

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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