Todd Lasco
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology 10
- Clostridium difficile and Clostridium perfringens research 9
- Antifungal resistance and susceptibility 6
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 7
- Epidemiology top 5%
- Mycobacterium research and diagnosis 10
- Fungal Infections and Studies 6
- Immunology top 10%
- Immune Response and Inflammation 6
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- Bacterial Identification and Susceptibility Testing 10
- Co-authors
- Kevin W. GareyDavid N. McMurrayTeizo YoshimuraNicholas D. BeydaMohammad Jahangir AlamDhara N. ShahIan M. OrmeHannah R. Palmer
- Journals
- Infection and Immunity (6 papers)Tuberculosis (4 papers)Open Forum Infectious Diseases (4 papers)
- Partner nations
- United StatesAustriaJapan
In The Last Decade
Todd Lasco
48 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 94
- Infectious Diseases 877
- Applied Microbiology and Biotechnology 85
- Molecular Medicine 98
- Epidemiology 653
- Immunology 360
Countries citing papers authored by Todd Lasco
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 7 | |
| 11 | 2017 | 10 | |
| 12 | 2015 | 14 | |
| 13 | 2014 | 27 | |
| 14 | 2014 | 143 | |
| 15 | 2013 | 46 | |
| 16 | 2013 | 10 | |
| 17 | 2007 | 6 | |
| 18 | 2007 | 19 | |
| 19 | 2005 | 45 | |
| 20 | 2005 | 68 |
About Todd Lasco
Todd Lasco is a scholar working on Infectious Diseases, Applied Microbiology and Biotechnology, Clinical Biochemistry, Molecular Medicine and Epidemiology, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (10 papers), Tuberculosis Research and Epidemiology (10 papers), Bacterial Identification and Susceptibility Testing (10 papers), Clostridium difficile and Clostridium perfringens research (9 papers), Antibiotic Resistance in Bacteria (7 papers), Antifungal resistance and susceptibility (6 papers), Immune Response and Inflammation (6 papers) and Fungal Infections and Studies (6 papers). The work is most often cited by research in Infectious Diseases (877 citations), Applied Microbiology and Biotechnology (85 citations), Molecular Medicine (98 citations), Epidemiology (653 citations) and Immunology (360 citations). Todd Lasco has collaborated with scholars based in United States, Austria and Japan. 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.