Janet A. Hindler
- Molecular Medicine top 0.1%
- Clinical Biochemistry top 0.2%
- Infectious Diseases top 1%
- Epidemiology top 5%
- Pharmacology top 1%
- Co-authors
- Romney M. HumphriesShelley A. MillerTheodoros KelesidisJennifer Dien BardBing GuSotirios TsiodrasApril N. AbbottKevin W. Ward
- Topics
- Bacterial Identification and Susceptibility Testing (47 papers)Antibiotic Resistance in Bacteria (43 papers)Antimicrobial Resistance in Staphylococcus (23 papers)
- Journals
- Angewandte Chemie International EditionClinical Infectious DiseasesThe American Journal of Medicine
- Partner nations
- United StatesDenmarkUnited Kingdom
In The Last Decade
Janet A. Hindler
77 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Medicine 1.6k
- Clinical Biochemistry 1.1k
- Infectious Diseases 973
- Epidemiology 842
- Pharmacology 786
Countries citing papers authored by Janet A. Hindler
This map shows the geographic impact of Janet A. Hindler'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 Janet A. Hindler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janet A. Hindler more than expected).
Fields of papers citing papers by Janet A. Hindler
This network shows the impact of papers produced by Janet A. Hindler. 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 Janet A. Hindler. The network helps show where Janet A. Hindler may publish in the future.
Co-authorship network of co-authors of Janet A. Hindler
This figure shows the co-authorship network connecting the top 25 collaborators of Janet A. Hindler. A scholar is included among the top collaborators of Janet A. Hindler 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 Janet A. Hindler. Janet A. Hindler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 17 | |
| 4 | 3 | |
| 5 | CLSI Methods Development and Standardization Working Group Best Practices for Evaluation of Antimicrobial Susceptibility Testsbreakdown → | 519 |
| 6 | 9 | |
| 7 | 11 | |
| 8 | 12 | |
| 9 | 68 | |
| 10 | 12 | |
| 11 | 66 | |
| 12 | 13 | |
| 13 | 45 | |
| 14 | 71 | |
| 15 | 110 | |
| 16 | 37 | |
| 17 | 8 | |
| 18 | 5 | |
| 19 | 4 | |
| 20 | 8 |
About Janet A. Hindler
Janet A. Hindler is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Clinical Biochemistry, having authored 80 papers that have together received 3.3k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (47 papers), Antibiotic Resistance in Bacteria (43 papers) and Antimicrobial Resistance in Staphylococcus (23 papers). The work is most often cited by research in Molecular Medicine (1.6k citations), Applied Microbiology and Biotechnology (433 citations) and Clinical Biochemistry (1.1k citations). Janet A. Hindler has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Romney M. Humphries, Shelley A. Miller, Theodoros Kelesidis, Jennifer Dien Bard, Bing Gu, Sotirios Tsiodras, April N. Abbott, Kevin W. Ward, Shangxin Yang and Peera Hemarajata. Their work appears in journals such as Angewandte Chemie International Edition, Clinical Infectious Diseases and The American Journal of Medicine.
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.