Laura D. Hughes
- Biophysics top 5%
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- Biomedical Text Mining and Ontologies 2
- Lipid Membrane Structure and Behavior 2
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- Molecular Sensors and Ion Detection 1
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- SARS-CoV-2 and COVID-19 Research 1
- Tuberculosis Research and Epidemiology 1
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- Crystallization and Solubility Studies 2
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- Research Data Management Practices 2
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- Scientific Computing and Data Management 2
- Co-authors
- Steven G. BoxerRobert J. RawleDavid Scott PalmerJohn B. O. MitchellFlorian NigschAndrew I. SuMichael E. HughesScott A. Lewis
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (1 paper)PLoS ONE (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Laura D. Hughes
13 papers receiving 731 citations
Peers
Comparison fields: 5 of 128
- Biophysics 59
- Computational Theory and Mathematics 126
- Molecular Biology 389
- Spectroscopy 67
- Infectious Diseases 67
Countries citing papers authored by Laura D. Hughes
This map shows the geographic impact of Laura D. Hughes'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 D. Hughes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura D. Hughes more than expected).
Fields of papers citing papers by Laura D. Hughes
This network shows the impact of papers produced by Laura D. Hughes. 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 D. Hughes. The network helps show where Laura D. Hughes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Laura D. Hughes, 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 | 2023 | 22 | |
| 2 | 2023 | 26 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 4 | |
| 5 | 2018 | 125 | |
| 6 | 2018 | 110 | |
| 7 | 2017 | 6 | |
| 8 | The Exploration of the Health Care Systems of the United States and Belize Including a Cultural Analysis | 2015 | 1 |
| 9 | 2014 | 232 | |
| 10 | 2013 | 11 | |
| 11 | 2008 | 26 | |
| 12 | 2008 | 166 | |
| 13 | Outbreak of Hantavirus pulmonary syndrome in the southwestern United States. Response of pathologists and other laboratorians. | 1994 | 8 |
About Laura D. Hughes
Laura D. Hughes is a scholar working on Information Systems and Management, Infectious Diseases and Parasitology, having authored 13 papers that have together received 744 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (2 papers), Lipid Membrane Structure and Behavior (2 papers), Crystallization and Solubility Studies (2 papers), Research Data Management Practices (2 papers), Scientific Computing and Data Management (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper), Molecular Sensors and Ion Detection (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Biophysics (59 citations), Computational Theory and Mathematics (126 citations) and Molecular Biology (389 citations). Laura D. Hughes has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Steven G. Boxer, Robert J. Rawle, David Scott Palmer, John B. O. Mitchell, Florian Nigsch, Andrew I. Su, Michael E. Hughes, Scott A. Lewis, Kelli Kuhen and Sebastian Burgstaller-Muehlbacher. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and PLoS ONE.
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.