Diana Yu
- Applied Microbiology and Biotechnology top 1%
- Pharmacology top 10%
- Epidemiology
- Clinical Biochemistry top 10%
- General Health Professions
- Co-authors
- Leslie StachJason G. NewlandAngela MyersMary Anne JacksonJennifer L. GoldmanErin HedicanBrian LeeJoshua C. Herigon
- Topics
- Antibiotic Use and Resistance (13 papers)Antibiotics Pharmacokinetics and Efficacy (7 papers)Antimicrobial Resistance in Staphylococcus (5 papers)
- Cited by
- Applied Microbiology and BiotechnologyClinical BiochemistryCritical Care and Intensive Care Medicine
- Journals
- Infection Control and Hospital EpidemiologyThe Pediatric Infectious Disease JournalThe Journal of Clinical Pharmacology
- Partner nations
- United StatesAustralia
In The Last Decade
Diana Yu
18 papers receiving 240 citations
Peers
Comparison fields: 5 of 42
- Applied Microbiology and Biotechnology 174
- Pharmacology 108
- Epidemiology 71
- Clinical Biochemistry 69
- General Health Professions 59
Countries citing papers authored by Diana Yu
This map shows the geographic impact of Diana Yu'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 Diana Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diana Yu more than expected).
Fields of papers citing papers by Diana Yu
This network shows the impact of papers produced by Diana Yu. 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 Diana Yu. The network helps show where Diana Yu may publish in the future.
Co-authorship network of co-authors of Diana Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Diana Yu. A scholar is included among the top collaborators of Diana Yu 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 Diana Yu. Diana Yu 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 | 25 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 6 | |
| 8 | 9 | |
| 9 | 2 | |
| 10 | 14 | |
| 11 | 22 | |
| 12 | 1 | |
| 13 | 26 | |
| 14 | 3 | |
| 15 | 20 | |
| 16 | 1 | |
| 17 | 5 | |
| 18 | 94 | |
| 19 | 0 | |
| 20 | 1 |
About Diana Yu
Diana Yu is a scholar working on Applied Microbiology and Biotechnology, Critical Care and Intensive Care Medicine and Pharmacology, having authored 21 papers that have together received 245 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (13 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers) and Antimicrobial Resistance in Staphylococcus (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (174 citations), Clinical Biochemistry (69 citations) and Critical Care and Intensive Care Medicine (38 citations). Diana Yu has collaborated with scholars based in United States and Australia. Frequent co-authors include Leslie Stach, Jason G. Newland, Angela Myers, Mary Anne Jackson, Jennifer L. Goldman, Erin Hedican, Brian Lee, Joshua C. Herigon, Priya A. Prasad and Theoklis E. Zaoutis. Their work appears in journals such as Infection Control and Hospital Epidemiology, The Pediatric Infectious Disease Journal and The Journal of Clinical Pharmacology.
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.