Diana Smith

591 citations
6 papers · 496 · h-index 5

Impact in

Papers in

Diana Smith

5 papers receiving 485 citations

Peers

Diana Smith
Comparison fields: 5 of 59
  • Cellular and Molecular Neuroscience 331
  • Cognitive Neuroscience 142
  • Behavioral Neuroscience 25
  • Immunology and Allergy 26
  • Physiology 110
Replace Homayoon M. Akbari with:
Homayoon M. Akbari United States
Alexander McNamara United States
Kentaro Iwabuchi Japan
Molly S. Griffith United States
Tom Earnest United States
Shunsuke Kataoka Japan
David McCue United States
Noriko Miyazaki Japan
Anna Laura Abbamondi Italy
Jacqueline Marcus United States
Diana Smith relative to Homayoon M. Akbari United States Homayoon M. Akbari's profile →
Citations per field
00.5×5.2×
Homayoon M. Akbari · 1×
Citations per year

Countries citing papers authored by Diana Smith

Since Specialization
Citations

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

Fields of papers citing papers by Diana Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Diana 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 Diana Smith Line = papers co-authored together Diana Smith links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2000346
2 199392
3 201532
4 199113
5 199412
6 19891

About Diana Smith

Diana Smith is a scholar working on Physiology, Cellular and Molecular Neuroscience, Immunology, Organic Chemistry and Molecular Biology, having authored 6 papers that have together received 496 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (3 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Nitric Oxide and Endothelin Effects (1 paper), Chemical synthesis and alkaloids (1 paper), Receptor Mechanisms and Signaling (1 paper), Salivary Gland Disorders and Functions (1 paper), Neonatal Respiratory Health Research (1 paper) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (331 citations), Cognitive Neuroscience (142 citations), Behavioral Neuroscience (25 citations), Immunology and Allergy (26 citations) and Physiology (110 citations). Diana Smith has collaborated with scholars based in United States, United Kingdom and Puerto Rico. Frequent co-authors include Osnat Ben‐Shahar, Friedbert Weiss, Loren H. Parsons, Carmen S. Maldonado-Vlaar, Tony M. Kerr, John Westwick, M. Watson, Robert C. Thompson, Luigi Pulvirenti and George F. Koob. Their work appears in journals such as Advances in experimental medicine and biology, American Journal of Respiratory Cell and Molecular Biology, Proceedings of the National Academy of Sciences, Journal Of Clinical Periodontology and Psychopharmacology.

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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