Natalie Williams‐Bouyer
- Epidemiology top 10%
- Infectious Diseases top 5%
- Small Animals top 5%
- Surgery
- Molecular Biology
- Co-authors
- Gail L. WoodsEdward A. GravissRichard J. WallaceYansheng ZhangHana M. El SahlyHanna SoiniJames M. MusserJohn S. Bergmann
- Topics
- Mycobacterium research and diagnosis (13 papers)Tuberculosis Research and Epidemiology (6 papers)Bacterial Identification and Susceptibility Testing (5 papers)
- Partner nations
- United StatesFranceTürkiye
In The Last Decade
Natalie Williams‐Bouyer
24 papers receiving 412 citations
Peers
Comparison fields: 5 of 68
- Epidemiology 311
- Infectious Diseases 268
- Small Animals 119
- Surgery 96
- Molecular Biology 44
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 of co-authors of Natalie Williams‐Bouyer
This figure shows the co-authorship network connecting the top 25 collaborators of Natalie Williams‐Bouyer. A scholar is included among the top collaborators of Natalie Williams‐Bouyer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Natalie Williams‐Bouyer. Natalie Williams‐Bouyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 12 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | 17 | |
| 12 | Molecular characterization of Mycobacterium tuberculosis isolates from Izmir, Turkey. | 8 |
| 13 | Recurrent tuberculosis in Houston, Texas: a population-based study. | 41 |
| 14 | 59 | |
| 15 | 53 | |
| 16 | 54 | |
| 17 | 31 | |
| 18 | 13 | |
| 19 | 57 | |
| 20 | 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) and Bacterial Identification and Susceptibility Testing (5 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 Clinical Infectious Diseases, Scientific Reports and Journal of Clinical Microbiology.
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.