Leah Smith

1.4k citations
34 papers · 963 · h-index 16

Impact in

  • Epidemiology top 10%
    • Cervical Cancer and HPV Research
    • Hepatitis B Virus Studies
  • Health top 10%
    • Vaccine Coverage and Hesitancy

Papers in

    • CRISPR and Genetic Engineering 8
    • Genomics and Phylogenetic Studies 2
    • Bacteriophages and microbial interactions 11

Leah Smith

33 papers receiving 941 citations

Peers

Leah Smith
Comparison fields: 5 of 108
  • Epidemiology 277
  • Health 58
  • Oncology 182
  • Endocrinology 29
  • Ecology 113
Replace Sara Huston with:
Sara Huston United States
Ming Guan China
Mohinder Sarna Australia
Alioune Dièye Senegal
Yao Tettey Ghana
Daniel Eliáš Ethiopia
Marla Shapiro Canada
Sergio Sabbatani Italy
Mark N. Lobato United States
Theresa Wagner Austria
Leah Smith relative to Sara Huston United States Sara Huston's profile →
Citations per field
00.5×4.2×
Sara Huston · 1×
Citations per year

Countries citing papers authored by Leah Smith

Since Specialization
Citations

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

Fields of papers citing papers by Leah Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020269
2 201483
3 201561
4 201950
5 201150
6 201840
7 202238
8 202136
9 201835
10 201934
11 201433
12 201830
13 201828
14 201926
15 201616
16 202216
17 201914
18 202113
19 202012
20 202111

About Leah Smith

Leah Smith is a scholar working on Molecular Biology, Ecology, Epidemiology, Oncology and Endocrinology, having authored 34 papers that have together received 963 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (11 papers), CRISPR and Genetic Engineering (8 papers), Cervical Cancer and HPV Research (7 papers), Vibrio bacteria research studies (5 papers), Global Cancer Incidence and Screening (4 papers), Microbial infections and disease research (2 papers), Cancer Risks and Factors (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Epidemiology (277 citations), Health (58 citations), Oncology (182 citations), Endocrinology (29 citations) and Ecology (113 citations). Leah Smith has collaborated with scholars based in Canada, New Zealand and United States. Frequent co-authors include Linda E. Lévesque, Darren R. Brenner, Erin Strumpf, Jay S. Kaufman, Ryan Woods, Peter C. Fineran, Alain Demers, Amanda Shaw, C. Louzado and Donna Turner. Their work appears in journals such as Canadian Medical Association Journal, Nucleic Acids Research, BMC Public Health, Cell Host & Microbe and Microbial Genomics.

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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