Judith Noble‐Wang
Impact in
- Infectious Diseases top 1%
- Antifungal resistance and susceptibility
- Infection Control in Healthcare
- Endocrinology top 2%
Papers in
- Co-authors
- Laura J. RoseArjun SrinivasanMatthew J. ArduinoBenjamin J. ParkDouglas C. ChangKerry O’DonnellBette JensenL. Clifford McDonald
- Journals
- Infection Control and Hospital Epidemiology (15 papers)Clinical Infectious Diseases (11 papers)American Journal of Infection Control (8 papers)Applied and Environmental Microbiology (6 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesUgandaAustralia
In The Last Decade
Judith Noble‐Wang
71 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 146
- Infectious Diseases 1.1k
- Endocrinology 259
- Molecular Medicine 231
- Applied Microbiology and Biotechnology 85
- Ophthalmology 369
Countries citing papers authored by Judith Noble‐Wang
This map shows the geographic impact of Judith Noble‐Wang'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 Judith Noble‐Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Judith Noble‐Wang more than expected).
Fields of papers citing papers by Judith Noble‐Wang
This network shows the impact of papers produced by Judith Noble‐Wang. 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 Judith Noble‐Wang. The network helps show where Judith Noble‐Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Judith Noble‐Wang, 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 | 11 | |
| 2 | 2021 | 12 | |
| 3 | 2020 | 40 | |
| 4 | 2019 | 3 | |
| 5 | 2019 | 6 | |
| 6 | 2018 | 1 | |
| 7 | 2017 | 40 | |
| 8 | 2016 | 73 | |
| 9 | 2015 | 8 | |
| 10 | 2014 | 11 | |
| 11 | 2013 | 14 | |
| 12 | 2013 | 11 | |
| 13 | 2012 | 12 | |
| 14 | 2012 | 81 | |
| 15 | 2009 | 26 | |
| 16 | 2008 | 175 | |
| 17 | 2008 | 20 | |
| 18 | 2007 | 24 | |
| 19 | 2007 | 115 | |
| 20 | 2004 | 11 |
About Judith Noble‐Wang
Judith Noble‐Wang is a scholar working on Chemical Health and Safety, Applied Microbiology and Biotechnology, Endocrinology, Molecular Medicine and Critical Care and Intensive Care Medicine, having authored 71 papers that have together received 2.7k indexed citations. Recurring topics across this work include Infection Control in Healthcare (13 papers), Nosocomial Infections in ICU (9 papers), Antifungal resistance and susceptibility (9 papers), Antibiotic Resistance in Bacteria (9 papers), Clostridium difficile and Clostridium perfringens research (7 papers), Bacterial Identification and Susceptibility Testing (7 papers), Infections and bacterial resistance (7 papers) and Mycobacterium research and diagnosis (7 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Endocrinology (259 citations), Molecular Medicine (231 citations), Applied Microbiology and Biotechnology (85 citations) and Ophthalmology (369 citations). Judith Noble‐Wang has collaborated with scholars based in United States, Uganda and Australia. Frequent co-authors include Laura J. Rose, Arjun Srinivasan, Matthew J. Arduino, Benjamin J. Park, Douglas C. Chang, Kerry O’Donnell, Bette Jensen, L. Clifford McDonald, Carol Y. Rao and Mary E. Brandt. Their work appears in journals such as Infection Control and Hospital Epidemiology, Clinical Infectious Diseases, American Journal of Infection Control, Applied and Environmental Microbiology 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.