David G. Smith

9.4k citations
202 papers · 7.1k indexed · 1 hit paper · h-index 43

David G. Smith

196 papers receiving 6.8k citations

Hit Papers

Selective small molecule inhibitors of glycogen synthase ...7712000202620082017250500750

Peers

David G. Smith
Comparison fields: 5 of 176
  • Endocrinology 1.9k
  • Infectious Diseases 1.7k
  • Microbiology 497
  • Small Animals 482
  • Agronomy and Crop Science 650
Replace Marie‐Christine Prévost with:
Marie‐Christine Prévost France
Stephen E. Girardin Canada
Chris Galanos Germany
Sergio Uzzau Italy
Dana J. Philpott Canada
James Madara United States
Ulrich Zähringer Germany
David Mirelman Israel
Gunnar C. Hansson Sweden
Soman N. Abraham United States
David G. Smith relative to Marie‐Christine Prévost France Marie‐Christine Prévost's profile →
Citations per field
00.5×2.8×
Marie‐Christine Prévost · 1×
Citations per year

Countries citing papers authored by David G. Smith

Since Specialization
Citations

This map shows the geographic impact of David 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 David 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 David G. Smith more than expected).

Fields of papers citing papers by David G. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20215
3 201845
4 201842
5 20189
6 201725
7 20160
8 201640
9 201523
10 201416
11 2014114
12 20118
13 200925
14 2008114
15
Hepatitis B virus vaccination of silvery gibbons (Hylobates moloch) at the Perth Zoo
20030
16 2001172
17 199032
18 198521
19
Neenchelys retropinna: a new worm eel (Pisces: Ophichthidae) from the Indian Ocean
19838
20 19810

About David G. Smith

David G. Smith is a scholar working on Endocrinology, Small Animals and Microbiology, having authored 202 papers that have together received 7.1k indexed citations. Recurring topics across this work include Escherichia coli research studies (36 papers), Viral gastroenteritis research and epidemiology (24 papers), Veterinary medicine and infectious diseases (20 papers), Clostridium difficile and Clostridium perfringens research (18 papers), Salmonella and Campylobacter epidemiology (14 papers), Probiotics and Fermented Foods (13 papers), Bacterial Genetics and Biotechnology (11 papers) and Milk Quality and Mastitis in Dairy Cows (10 papers). The work is most often cited by research in Endocrinology (1.9k citations), Infectious Diseases (1.7k citations) and Microbiology (497 citations). David G. Smith has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include David L. Gally, Stuart W. Naylor, J. Christopher Low, Andrew J. Roe, Robert W. Ward, Arvind Mahajan, Iain J. McKendrick, David Haigh, Carol Currie and Robert Goldstone. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Infection and Immunity, Veterinary Microbiology, Canadian Journal of Chemistry and Microbiology.

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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