Patricia E. Hewitt

3.6k citations
75 papers · 2.5k indexed · 1 hit paper · h-index 24

Impact in

Papers in

Patricia E. Hewitt

74 papers receiving 2.3k citations

Hit Papers

Hepatitis E virus in blood components: a prevalence and transmission study in southeast England 2014 · 395 citations
3952014202620182022100200300

Peers

Patricia E. Hewitt
Comparison fields: 5 of 102
  • Hepatology 910
  • Management of Technology and Innovation 247
  • Infectious Diseases 501
  • Neurology 214
  • Hematology 258
Replace Shimian Zou with:
Shimian Zou United States
Eva A. Operskalski United States
T. G. Wreghitt United Kingdom
Katy Davison United Kingdom
Kathleen Hayes United States
Alan D. Kitchen United Kingdom
Zhanna Kaidarova United States
Ali Danesh United States
Aaron Webster United Kingdom
B. C. Dow United Kingdom
Patricia E. Hewitt relative to Shimian Zou United States Shimian Zou's profile →
Citations per field
00.5×10×14.3×
Shimian Zou · 1×
Citations per year

Countries citing papers authored by Patricia E. Hewitt

Since Specialization
Citations

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

Fields of papers citing papers by Patricia E. Hewitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patricia E. Hewitt. 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 Patricia E. Hewitt. The network helps show where Patricia E. Hewitt may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201941
2 20113
3 20104
4 201022
5 200918
6 200942
7 200919
8 2006249
9 200611
10 20055
11 200539
12 20046
13 199998
14 199766
15 199616
16 199421
17 19946
18 19936
19 198819
20 19856

About Patricia E. Hewitt

Patricia E. Hewitt is a scholar working on Hepatology, Management of Technology and Innovation, Hematology, Genetics and Virology, having authored 75 papers that have together received 2.5k indexed citations. Recurring topics across this work include Blood donation and transfusion practices (19 papers), Hepatitis B Virus Studies (18 papers), Hepatitis C virus research (17 papers), Prion Diseases and Protein Misfolding (16 papers), Blood groups and transfusion (12 papers), Liver Disease Diagnosis and Treatment (9 papers), Hemoglobinopathies and Related Disorders (8 papers) and Hepatitis Viruses Studies and Epidemiology (7 papers). The work is most often cited by research in Hepatology (910 citations), Management of Technology and Innovation (247 citations), Infectious Diseases (501 citations), Neurology (214 citations) and Hematology (258 citations). Patricia E. Hewitt has collaborated with scholars based in United Kingdom, Nigeria and United States. Frequent co-authors include Alan D. Kitchen, Robert Will, C. A. Llewelyn, J. Mackenzie, Richard S. Tedder, J. A. J. Barbara, Kate I. Tettmar, Samreen Ijaz, Ines Ushiro‐Lumb and Su Brailsford. Their work appears in journals such as Vox Sanguinis, Transfusion, Transfusion Medicine, British Journal of Haematology and Eurosurveillance.

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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