L. M. Smith

55 papers receiving 1.7k citations

Peers

L. M. Smith
Comparison fields: 5 of 109
  • Parasitology 155
  • Animal Science and Zoology 214
  • Epidemiology 698
  • Immunology 419
  • Biotechnology 96
Replace Renato Augusto DaMatta with:
Renato Augusto DaMatta Brazil
Elisabeth M. Schraner Switzerland
Rodney Colina Uruguay
Philippa M. Beard United Kingdom
Kritaya Kongsuwan Australia
Thomas W. Jungi Switzerland
Geoffrey J. Letchworth United States
Frederick S.B. Kibenge Canada
F.J. van der Wal Netherlands
Alain Billault France
L. M. Smith relative to Renato Augusto DaMatta Brazil Renato Augusto DaMatta's profile →
Citations per field
00.5×1.5×2.1×
Renato Augusto DaMatta · 1×
Citations per year

Countries citing papers authored by L. M. Smith

Since Specialization
Citations

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

Fields of papers citing papers by L. M. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004206
2 1998155
3 2007143
4 1992131
5 199891
6 200083
7 199967
8 200258
9 200858
10 199753
11 199742
12 200538
13 200638
14 199836
15 200334
16 200631
17 200831
18
Bst DNA polymerase permits rapid sequence analysis from nanogram amounts of template.
199131
19 199929
20 201229

About L. M. Smith

L. M. Smith is a scholar working on Epidemiology, Molecular Biology, Parasitology, Immunology and Animal Science and Zoology, having authored 55 papers that have together received 1.7k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (18 papers), Cytomegalovirus and herpesvirus research (14 papers), Animal Virus Infections Studies (8 papers), Immune Cell Function and Interaction (7 papers), Plant Virus Research Studies (4 papers), Leptospirosis research and findings (4 papers), Toxoplasma gondii Research Studies (4 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Parasitology (155 citations), Animal Science and Zoology (214 citations), Epidemiology (698 citations), Immunology (419 citations) and Biotechnology (96 citations). L. M. Smith has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include L. N. Payne, K. Howes, Venugopal Nair, Alec Redwood, Rosemary O’Connor, Ailsa M. Gillespie, Siti Suri Arshad, Gerard Barron, Geoffrey Shellam and Andrea R. McWhorter. Their work appears in journals such as Journal of General Virology, Avian Pathology, Veterinary Record, Vaccine and Applied and Environmental 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.

Explore authors with similar magnitude of impact