Katy Davison

1.8k citations
55 papers · 1.3k · h-index 19

Impact in

Papers in

Katy Davison

52 papers receiving 1.2k citations

Peers

Katy Davison
Comparison fields: 5 of 96
  • Management of Technology and Innovation 304
  • Biochemistry 182
  • Hepatology 174
  • Critical Care and Intensive Care Medicine 69
  • Microbiology 93
Replace Shimian Zou with:
Shimian Zou United States
Jean Pierre Allain United Kingdom
Jean‐Jacques Lefrère France
Peter L. Page United States
Edward P. Notari United States
Bruce A. Lenes United States
Silvano Wendel Brazil
Patricia E. Hewitt United Kingdom
Clive R. Seed Australia
Peggy Sue Weintrub United States
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Citations per field
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Citations per year

Countries citing papers authored by Katy Davison

Since Specialization
Citations

This map shows the geographic impact of Katy Davison'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 Katy Davison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katy Davison more than expected).

Fields of papers citing papers by Katy Davison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katy Davison. 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 Katy Davison. The network helps show where Katy Davison may publish in the future.

Co-authors

The 25 scholars most cited alongside Katy Davison, 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 Katy Davison Line = papers co-authored together Katy Davison links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006267
2 2003134
3 200580
4
Guidelines for the control of hepatitis A virus infection.
200160
5 201544
6 200443
7 200441
8 201337
9 202035
10 200335
11
An outbreak of hepatitis A among young men associated with having sex in public venues.
200133
12 201331
13 200225
14 200425
15
Poor hepatitis B vaccine coverage in injecting drug users: England, 1995 and 1996.
199924
16 201924
17 201123
18 202119
19 201919
20 202118

About Katy Davison

Katy Davison is a scholar working on Management of Technology and Innovation, Epidemiology, Immunology, Hepatology and Infectious Diseases, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Blood donation and transfusion practices (20 papers), T-cell and Retrovirus Studies (9 papers), Hepatitis B Virus Studies (8 papers), Hepatitis C virus research (5 papers), Bacterial Infections and Vaccines (4 papers), Animal Disease Management and Epidemiology (4 papers), HIV, Drug Use, Sexual Risk (4 papers) and Vector-Borne Animal Diseases (3 papers). The work is most often cited by research in Management of Technology and Innovation (304 citations), Biochemistry (182 citations), Hepatology (174 citations), Critical Care and Intensive Care Medicine (69 citations) and Microbiology (93 citations). Katy Davison has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Natasha S. Crowcroft, Kate Soldan, Susan R. Brailsford, L. J. Brant, Nick Andrews, Claire Reynolds, B. C. Dow, Mary Ramsay, Karen Bowden and Mark Goodfield. Their work appears in journals such as Vox Sanguinis, Transfusion, Transfusion Medicine, Eurosurveillance and Epidemiology and Infection.

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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