Jennifer Dien Bard
- Epidemiology top 2%
- Infectious Diseases top 2%
- Clinical Biochemistry top 0.5%
- Molecular Biology
- Molecular Medicine top 0.5%
- Co-authors
- Romney M. HumphriesErin McElvaniaJanet A. HindlerSusan M. Butler‐WuTanis C. DingleRebecca YeeBarbara ZimmerRaymond Lai
- Topics
- Bacterial Identification and Susceptibility Testing (35 papers)Streptococcal Infections and Treatments (20 papers)Antimicrobial Resistance in Staphylococcus (18 papers)
- Partner nations
- United StatesCanadaColombia
In The Last Decade
Jennifer Dien Bard
107 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Epidemiology 1.0k
- Infectious Diseases 851
- Clinical Biochemistry 758
- Molecular Biology 563
- Molecular Medicine 508
Countries citing papers authored by Jennifer Dien Bard
This map shows the geographic impact of Jennifer Dien Bard'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 Jennifer Dien Bard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Dien Bard more than expected).
Fields of papers citing papers by Jennifer Dien Bard
This network shows the impact of papers produced by Jennifer Dien Bard. 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 Jennifer Dien Bard. The network helps show where Jennifer Dien Bard may publish in the future.
Co-authorship network of co-authors of Jennifer Dien Bard
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Dien Bard. A scholar is included among the top collaborators of Jennifer Dien Bard 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 Jennifer Dien Bard. Jennifer Dien Bard 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 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 13 | |
| 8 | 11 | |
| 9 | 6 | |
| 10 | 24 | |
| 11 | 62 | |
| 12 | 184 | |
| 13 | 53 | |
| 14 | 34 | |
| 15 | 15 | |
| 16 | 15 | |
| 17 | CLSI Methods Development and Standardization Working Group Best Practices for Evaluation of Antimicrobial Susceptibility Testsbreakdown → | 519 |
| 18 | 77 | |
| 19 | 5 | |
| 20 | 68 |
About Jennifer Dien Bard
Jennifer Dien Bard is a scholar working on Clinical Biochemistry, Molecular Medicine and Infectious Diseases, having authored 116 papers that have together received 2.9k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (35 papers), Streptococcal Infections and Treatments (20 papers) and Antimicrobial Resistance in Staphylococcus (18 papers). The work is most often cited by research in Clinical Biochemistry (758 citations), Molecular Medicine (508 citations) and Applied Microbiology and Biotechnology (138 citations). Jennifer Dien Bard has collaborated with scholars based in United States, Canada and Colombia. Frequent co-authors include Romney M. Humphries, Erin McElvania, Janet A. Hindler, Susan M. Butler‐Wu, Tanis C. Dingle, Rebecca Yee, Barbara Zimmer, Raymond Lai, Pascal Gélébart and Dwight J. Hardy. Their work appears in journals such as Blood, Clinical Microbiology Reviews and Clinical Infectious Diseases.
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.