Jennifer Dien Bard

7.4k citations
116 papers · 2.9k indexed · 1 hit paper · h-index 31

Jennifer Dien Bard

107 papers receiving 2.8k citations

Hit Papers

CLSI Methods Development and Standardization Working Grou...5192018202620202023100200300400500

Peers

Jennifer Dien Bard
Comparison fields: 5 of 141
  • Clinical Biochemistry 758
  • Molecular Medicine 508
  • Applied Microbiology and Biotechnology 138
  • Microbiology 329
  • Infectious Diseases 851
Replace Stefan Zimmermann with:
Stefan Zimmermann Germany
Martin Christner Germany
Iain B. Gosbell Australia
Bülent Bozdoğan Türkiye
Mehdi Goudarzi Iran
Bo Söderquist Sweden
Isabelle Podglajen France
Audrey N. Schuetz United States
Sebastiaan J. van Hal Australia
Robert Rennie Canada
Jennifer Dien Bard relative to Stefan Zimmermann Germany Stefan Zimmermann's profile →
Citations per field
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Stefan Zimmermann · 1×
Citations per year

Countries citing papers authored by Jennifer Dien Bard

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Jennifer Dien Bard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jennifer Dien Bard Line = papers co-authored together Jennifer Dien Bard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20233
5 20234
6 20239
7 202213
8 202211
9 20216
10 202124
11 202162
12 2020184
13 202053
14 202034
15 202015
16 201915
17
CLSI Methods Development and Standardization Working Group Best Practices for Evaluation of Antimicrobial Susceptibility Testsbreakdown →
2018519
18 201677
19 20165
20 201568

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), Antimicrobial Resistance in Staphylococcus (18 papers), Antibiotic Resistance in Bacteria (17 papers), Respiratory viral infections research (16 papers), SARS-CoV-2 and COVID-19 Research (13 papers), Infective Endocarditis Diagnosis and Management (13 papers) and Pneumonia and Respiratory Infections (9 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.

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.

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