G. David Smith

3.6k citations
48 papers · 2.7k indexed · h-index 24

G. David Smith

47 papers receiving 2.6k citations

Peers

G. David Smith
Comparison fields: 5 of 127
  • Sensory Systems 928
  • Cellular and Molecular Neuroscience 429
  • Complementary and alternative medicine 155
  • Urology 109
  • Physiology 440
Replace Ana M. Gómez with:
Ana M. Gómez France
Tomoko Kita Japan
Stefano Manzini Italy
W. Namkung South Korea
Hiroyuki Kobayashi Japan
Junko Kimura Japan
Ryszard Grygorczyk Canada
Hitoshi Sato Japan
Asipu Sivaprasadarao United Kingdom
Toshihiro Sato Japan
G. David Smith relative to Ana M. Gómez France Ana M. Gómez's profile →
Citations per field
00.5×2.8×
Ana M. Gómez · 1×
Citations per year

Countries citing papers authored by G. David Smith

Since Specialization
Citations

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

Fields of papers citing papers by G. David Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201554
2 201113
3 201076
4 20075
5 2007221
6 200734
7 20062
8 200539
9 2005129
10 200310
11 200212
12 200122
13 200052
14 200018
15 199912
16 1998117
17 199244
18 199139
19 198842
20
Flow phenomena in compressor casing treatment
19821

About G. David Smith

G. David Smith is a scholar working on Sensory Systems, Physical and Theoretical Chemistry, Molecular Biology, Materials Chemistry and Urology, having authored 48 papers that have together received 2.7k indexed citations. Recurring topics across this work include Enzyme Structure and Function (14 papers), Protein Structure and Dynamics (9 papers), Pain Mechanisms and Treatments (6 papers), Ion Channels and Receptors (6 papers), Biochemical and Molecular Research (4 papers), Chemical Synthesis and Analysis (4 papers), Crystallography and molecular interactions (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Sensory Systems (928 citations), Cellular and Molecular Neuroscience (429 citations), Complementary and alternative medicine (155 citations), Urology (109 citations) and Physiology (440 citations). G. David Smith has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jane F. Griffin, Christopher D. Benham, N. A. Cumpsty, C. Bountra, Praveen Anand, John B. Davis, R. H. Blessing, P. Facer, P. Lynne Howell and William L. Duax. Their work appears in journals such as Science, Journal of Biological Chemistry, Journal of the American Chemical Society, Journal of Applied Crystallography and Journal of Pharmaceutical Sciences.

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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