Laura E. Via
- Infectious Diseases top 0.1%
- Tuberculosis Research and Epidemiology 79
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria 10
- Epidemiology top 0.5%
- Mycobacterium research and diagnosis 43
- Pneumocystis jirovecii pneumonia detection and treatment 11
- Pneumonia and Respiratory Infections 8
- Immunology top 2%
- Endocrinology top 2%
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- Infectious Diseases and Tuberculosis 18
- Diagnosis and treatment of tuberculosis 9
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- Cancer therapeutics and mechanisms 10
- Co-authors
- Clifton E. BarryC. Neal StewartVojo DeretićVéronique DartoisDominique J. WienerDusanka DereticJoAnne L. FlynnSang-Nae Cho
- Journals
- Antimicrobial Agents and Chemotherapy (10 papers)Journal of Clinical Microbiology (5 papers)PLoS ONE (5 papers)
- Partner nations
- United StatesSouth AfricaSouth Korea
In The Last Decade
Laura E. Via
100 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Infectious Diseases 4.9k
- Molecular Medicine 606
- Epidemiology 3.7k
- Immunology 1.4k
- Endocrinology 207
Countries citing papers authored by Laura E. Via
This map shows the geographic impact of Laura E. Via'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 Laura E. Via with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura E. Via more than expected).
Fields of papers citing papers by Laura E. Via
This network shows the impact of papers produced by Laura E. Via. 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 Laura E. Via. The network helps show where Laura E. Via may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Laura E. Via, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 10 | |
| 5 | 2022 | 11 | |
| 6 | 2021 | 17 | |
| 7 | 2019 | 86 | |
| 8 | 2019 | 134 | |
| 9 | 2018 | 29 | |
| 10 | 2017 | 159 | |
| 11 | 2017 | 19 | |
| 12 | 2016 | 29 | |
| 13 | 2016 | 221 | |
| 14 | 2015 | 72 | |
| 15 | 2014 | 21 | |
| 16 | 2012 | 163 | |
| 17 | 2009 | 380 | |
| 18 | 2003 | 1 | |
| 19 | 1995 | 161 | |
| 20 | 1995 | 149 |
About Laura E. Via
Laura E. Via is a scholar working on Infectious Diseases, Molecular Medicine, Epidemiology, Immunology and Surgery, having authored 101 papers that have together received 8.3k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (79 papers), Mycobacterium research and diagnosis (43 papers), Infectious Diseases and Tuberculosis (18 papers), Pneumocystis jirovecii pneumonia detection and treatment (11 papers), Cancer therapeutics and mechanisms (10 papers), Antibiotic Resistance in Bacteria (10 papers), Diagnosis and treatment of tuberculosis (9 papers) and Pneumonia and Respiratory Infections (8 papers). The work is most often cited by research in Infectious Diseases (4.9k citations), Molecular Medicine (606 citations), Epidemiology (3.7k citations), Immunology (1.4k citations) and Endocrinology (207 citations). Laura E. Via has collaborated with scholars based in United States, South Africa and South Korea. Frequent co-authors include Clifton E. Barry, C. Neal Stewart, Vojo Deretić, Véronique Dartois, Dominique J. Wiener, Dusanka Deretic, JoAnne L. Flynn, Sang-Nae Cho, N S Hibler and Lukas A. Huber. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Clinical Microbiology, PLoS ONE, BMC Infectious Diseases and Proceedings of the National Academy of Sciences.
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.