Katie Jeffery
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research 6
- Parvovirus B19 Infection Studies 6
- Agronomy and Crop Science top 1%
- Epidemiology top 2%
- Hepatitis B Virus Studies 12
- Respiratory viral infections research 8
- Cytomegalovirus and herpesvirus research 7
- Herpesvirus Infections and Treatments 6
- Immunology top 5%
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- Hepatitis C virus research 11
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- Bacterial Identification and Susceptibility Testing 6
- Co-authors
- Charles R. M. BanghamSteven ReadDerrick W. CrookColin BrownAndrew M. BormanRohini ManuelElizabeth M. JohnsonSurabhi Taori
- Journals
- Journal of Infection (7 papers)Journal of Clinical Microbiology (4 papers)International Journal of STD & AIDS (3 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Katie Jeffery
76 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Infectious Diseases 1.3k
- Agronomy and Crop Science 436
- Epidemiology 1.3k
- Immunology 767
- Applied Microbiology and Biotechnology 57
Countries citing papers authored by Katie Jeffery
This map shows the geographic impact of Katie Jeffery'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 Katie Jeffery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katie Jeffery more than expected).
Fields of papers citing papers by Katie Jeffery
This network shows the impact of papers produced by Katie Jeffery. 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 Katie Jeffery. The network helps show where Katie Jeffery may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Katie Jeffery, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 8 | |
| 2 | 2024 | 7 | |
| 3 | 2023 | 17 | |
| 4 | 2022 | 14 | |
| 5 | 2022 | 3 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 16 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 19 | |
| 10 | 2021 | 40 | |
| 11 | 2020 | 14 | |
| 12 | 2020 | 37 | |
| 13 | Nanopore metagenomic sequencing of influenza virus directly from respiratory samples: diagnosis, drug resistance and nosocomial transmission | 2020 | 1 |
| 14 | 2020 | 20 | |
| 15 | 2018 | 37 | |
| 16 | 2018 | 5 | |
| 17 | 2016 | 82 | |
| 18 | 2015 | 7 | |
| 19 | 2000 | 173 | |
| 20 | 2000 | 143 |
About Katie Jeffery
Katie Jeffery is a scholar working on Infectious Diseases, Hepatology and Microbiology, having authored 80 papers that have together received 3.3k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (12 papers), Hepatitis C virus research (11 papers), Respiratory viral infections research (8 papers), Cytomegalovirus and herpesvirus research (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Parvovirus B19 Infection Studies (6 papers), Bacterial Identification and Susceptibility Testing (6 papers) and Herpesvirus Infections and Treatments (6 papers). The work is most often cited by research in Infectious Diseases (1.3k citations), Agronomy and Crop Science (436 citations) and Epidemiology (1.3k citations). Katie Jeffery has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Charles R. M. Bangham, Steven Read, Derrick W. Crook, Colin Brown, Andrew M. Borman, Rohini Manuel, Elizabeth M. Johnson, Surabhi Taori, Silke Schelenz and Tim Peto. Their work appears in journals such as Journal of Infection, Journal of Clinical Microbiology, International Journal of STD & AIDS, BMC Infectious Diseases and Microbial Genomics.
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.