Jacquelyn Wright-Minogue

1.0k citations
17 papers · 840 indexed · h-index 13

Jacquelyn Wright-Minogue

16 papers receiving 801 citations

Peers

Jacquelyn Wright-Minogue
Comparison fields: 5 of 45
  • Hepatology 549
  • Virology 94
  • Infectious Diseases 294
  • Epidemiology 435
  • Agronomy and Crop Science 87
Replace Eric Ferrari with:
Eric Ferrari United States
Angela Skelton United States
Edwin A. Brown United States
Christian Harak Germany
Q. May Wang United States
Frederick Lahser United States
J C Pugh United States
Gabriella Rozera Italy
J. L. Gerin United States
Sandra Carrouée‐Durantel France
Jacquelyn Wright-Minogue relative to Eric Ferrari United States Eric Ferrari's profile →
Citations per field
00.5×1.5×
Eric Ferrari · 1×
Citations per year

Countries citing papers authored by Jacquelyn Wright-Minogue

Since Specialization
Citations

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

Fields of papers citing papers by Jacquelyn Wright-Minogue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacquelyn Wright-Minogue. 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 Jacquelyn Wright-Minogue. The network helps show where Jacquelyn Wright-Minogue may publish in the future.

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 2006184
2 200630
3 200312
4 200316
5 20005
6 200036
7 200016
8 199944
9 199919
10 1999210
11 199994
12 199727
13 19973
14 199745
15 199622
16 199676
17 19951

About Jacquelyn Wright-Minogue

Jacquelyn Wright-Minogue is a scholar working on Hepatology, Infectious Diseases, Cardiology and Cardiovascular Medicine, Epidemiology and Virology, having authored 17 papers that have together received 840 indexed citations. Recurring topics across this work include Hepatitis C virus research (9 papers), Viral Infections and Immunology Research (6 papers), Hepatitis B Virus Studies (6 papers), HIV/AIDS drug development and treatment (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Virus-based gene therapy research (1 paper) and Herpesvirus Infections and Treatments (1 paper). The work is most often cited by research in Hepatology (549 citations), Virology (94 citations), Infectious Diseases (294 citations), Epidemiology (435 citations) and Agronomy and Crop Science (87 citations). Jacquelyn Wright-Minogue has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Eric Ferrari, Johnson Y. N. Lau, Angela Skelton, Zhi Hong, Bahige M. Baroudy, Robert A. Chase, Jane Fang, Tong Chen, Xinchun Tong and B. R. Malcolm. Their work appears in journals such as Journal of Virology, Antiviral Research, Virology, Journal of Industrial Microbiology & Biotechnology and Journal of Hepatology.

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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