Todd Lasco

1.8k citations
55 papers · 1.4k · h-index 22

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 11
    • Clostridium difficile and Clostridium perfringens research 7
    • Antifungal resistance and susceptibility 7
    • Mycobacterium research and diagnosis 9

Todd Lasco

49 papers receiving 1.4k citations

Peers

Todd Lasco
Comparison fields: 5 of 91
  • Infectious Diseases 856
  • Applied Microbiology and Biotechnology 54
  • Molecular Medicine 95
  • Epidemiology 534
  • Immunology 338
Replace Nelianne J. Verkaik with:
Nelianne J. Verkaik Netherlands
Paula A. Revell United States
Birgitta Henriques Normark Sweden
Kyra Chua Australia
Zhidong Hu China
Joyce C. S. de Azavedo Canada
Y. J. Debets-Ossenkopp Netherlands
Issei Tokimatsu Japan
D Dzierżanowska Poland
Darrin J. Bast Canada
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Citations per field
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Citations per year

Countries citing papers authored by Todd Lasco

Since Specialization
Citations

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

Fields of papers citing papers by Todd Lasco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Todd Lasco, 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 Todd Lasco Line = papers co-authored together Todd Lasco 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 2014151
2 2004149
3 1998126
4 201487
5 200569
6 201162
7 200955
8 200453
9 200550
10 201249
11 201347
12 200547
13 200541
14 201435
15 202032
16 201330
17 200430
18 201429
19 201527
20 200527

About Todd Lasco

Todd Lasco is a scholar working on Infectious Diseases, Epidemiology, Clinical Biochemistry, Immunology and Molecular Medicine, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (11 papers), Mycobacterium research and diagnosis (9 papers), Bacterial Identification and Susceptibility Testing (8 papers), Clostridium difficile and Clostridium perfringens research (7 papers), Antifungal resistance and susceptibility (7 papers), Immune Response and Inflammation (6 papers), Antibiotic Resistance in Bacteria (5 papers) and Streptococcal Infections and Treatments (3 papers). The work is most often cited by research in Infectious Diseases (856 citations), Applied Microbiology and Biotechnology (54 citations), Molecular Medicine (95 citations), Epidemiology (534 citations) and Immunology (338 citations). Todd Lasco has collaborated with scholars based in United States, Philippines and Germany. Frequent co-authors include Kevin W. Garey, David N. McMurray, Teizo Yoshimura, Nicholas D. Beyda, Mohammad Jahangir Alam, Dhara N. Shah, Ian M. Orme, Hannah R. Palmer, Shannon Sedberry Allen and Oliver C. Turner. Their work appears in journals such as Infection and Immunity, Tuberculosis, Open Forum Infectious Diseases, Infection Control and Hospital Epidemiology and Diagnostic Microbiology and Infectious Disease.

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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