Natalie Williams‐Bouyer
- Microbiology top 5%
- Small Animals top 5%
- Infectious Diseases and Mycology 5
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology 6
- Epidemiology top 10%
- Mycobacterium research and diagnosis 13
- Pneumonia and Respiratory Infections 2
-
- Bacterial Identification and Susceptibility Testing 5
-
- Antibiotic Resistance in Bacteria 3
-
- Infectious Diseases and Tuberculosis 2
-
- Microbial Metabolism and Applications 2
Natalie Williams‐Bouyer
24 papers receiving 412 citations
Peers
Comparison fields: 5 of 68
- Microbiology 18
- Small Animals 119
- Infectious Diseases 268
- Epidemiology 311
- Endocrinology 29
Countries citing papers authored by Natalie Williams‐Bouyer
This map shows the geographic impact of Natalie Williams‐Bouyer'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 Natalie Williams‐Bouyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie Williams‐Bouyer more than expected).
Fields of papers citing papers by Natalie Williams‐Bouyer
This network shows the impact of papers produced by Natalie Williams‐Bouyer. 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 Natalie Williams‐Bouyer. The network helps show where Natalie Williams‐Bouyer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Natalie Williams‐Bouyer, 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 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2021 | 1 | |
| 5 | 2021 | 12 | |
| 6 | 2021 | 4 | |
| 7 | 2020 | 1 | |
| 8 | 2020 | 9 | |
| 9 | 2014 | 6 | |
| 10 | 2013 | 3 | |
| 11 | 2009 | 17 | |
| 12 | Molecular characterization of Mycobacterium tuberculosis isolates from Izmir, Turkey. | 2007 | 8 |
| 13 | Recurrent tuberculosis in Houston, Texas: a population-based study. | 2004 | 41 |
| 14 | 2004 | 59 | |
| 15 | 2004 | 53 | |
| 16 | 2002 | 54 | |
| 17 | 2001 | 31 | |
| 18 | 2000 | 13 | |
| 19 | 2000 | 57 | |
| 20 | 1999 | 1 |
About Natalie Williams‐Bouyer
Natalie Williams‐Bouyer is a scholar working on Microbiology, Clinical Biochemistry and Small Animals, having authored 26 papers that have together received 428 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (13 papers), Tuberculosis Research and Epidemiology (6 papers), Bacterial Identification and Susceptibility Testing (5 papers), Infectious Diseases and Mycology (5 papers), Antibiotic Resistance in Bacteria (3 papers), Pneumonia and Respiratory Infections (2 papers), Infectious Diseases and Tuberculosis (2 papers) and Microbial Metabolism and Applications (2 papers). The work is most often cited by research in Microbiology (18 citations), Small Animals (119 citations) and Infectious Diseases (268 citations). Natalie Williams‐Bouyer has collaborated with scholars based in United States, France and Türkiye. Frequent co-authors include Gail L. Woods, Edward A. Graviss, Richard J. Wallace, Yansheng Zhang, Hana M. El Sahly, Hanna Soini, James M. Musser, John S. Bergmann, Barbara A. Brown‐Elliott and Christine Y. Turenne. Their work appears in journals such as Journal of Clinical Microbiology, Clinical Infectious Diseases, Burns, Infection Control and Hospital Epidemiology and Scientific Reports.
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.