Daniel G. Smith

19 papers receiving 584 citations

Peers

Daniel G. Smith
Comparison fields: 5 of 80
  • Endocrine and Autonomic Systems 160
  • Behavioral Neuroscience 46
  • Cellular and Molecular Neuroscience 207
  • Biological Psychiatry 16
  • Nutrition and Dietetics 82
Replace Claudia S. Caligioni with:
Claudia S. Caligioni United States
T. C. Anand Kumar India
LaTasha K. Crawford United States
Jean‐Claude Thiéry France
Roberto Chavira Mexico
Kayo Nakamura Japan
Norifumi Konno Japan
Annika Herwig Germany
Jacqueline M. Ho United States
Michael J. Woller United States
Daniel G. Smith relative to Claudia S. Caligioni United States Claudia S. Caligioni's profile →
Citations per field
00.5×2×3.2×
Claudia S. Caligioni · 1×
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

19 of 19 papers shown
#Work
1 2011119
2 200598
3 200167
4 199953
5 200944
6 200843
7 200133
8 199527
9 200725
10 200121
11 202317
12 200615
13 200314
14 201811
15 201311
16 20027
17 20237
18 20251
19
An analysis of the contributions of donkey ownership to the livelihoods of poor urban and peri-urban dwellers in Ethiopia.
20041

About Daniel G. Smith

Daniel G. Smith is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Behavioral Neuroscience, Nutrition and Dietetics and Pathology and Forensic Medicine, having authored 19 papers that have together received 614 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Regulation of Appetite and Obesity (4 papers), Biochemical Analysis and Sensing Techniques (3 papers), Stress Responses and Cortisol (2 papers), Alcohol Consumption and Health Effects (2 papers), Tryptophan and brain disorders (1 paper) and African history and culture analysis (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (160 citations), Behavioral Neuroscience (46 citations), Cellular and Molecular Neuroscience (207 citations), Biological Psychiatry (16 citations) and Nutrition and Dietetics (82 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, George G. Nomikos, Donald R. Gehlert, Mark R. Wade, William John Hannan McBride, Jennifer E. Learn, Janice Shaw, Eleni T. Tzavara and Craig R. Salhoff. Their work appears in journals such as Alcohol, Frontiers in Human Neuroscience, Brain Research, Neuropsychopharmacology 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.

Explore authors with similar magnitude of impact