Mary E. Valiga

1.4k citations
10 papers · 809 · h-index 7

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Hepatitis C virus research 9
    • Hepatitis Viruses Studies and Epidemiology 1
    • Hepatitis B Virus Studies 3

Mary E. Valiga

10 papers receiving 782 citations

Peers

Mary E. Valiga
Comparison fields: 5 of 52
  • Hepatology 434
  • Immunology 386
  • Virology 59
  • Epidemiology 309
  • Oncology 141
Replace D. Tola with:
D. Tola Italy
Nicole Castelblanco United States
Luca Sacchelli Italy
Cristina Mori Italy
Nadine Kersting Germany
Norbert H. Grüner Germany
Martin Wächtler Germany
Michelle Brown United States
Geoff Dusheiko United Kingdom
Stephen Livingston United States
Mary E. Valiga relative to D. Tola Italy D. Tola's profile →
Citations per field
00.5×1.5×2.1×
D. Tola · 1×
Citations per year

Countries citing papers authored by Mary E. Valiga

Since Specialization
Citations

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

Fields of papers citing papers by Mary E. Valiga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2009310
2 2008240
3 2006120
4 200858
5 200543
6 201418
7 201416
8 20032
9
BASIC-LIVER, PANCREAS, AND BILIARY TRACT Discordant Role of CD4 T-Cell Response Relative to Neutralizing Antibody and CD8 T-Cell Responses in Acute Hepatitis C
20071
10 20121

About Mary E. Valiga

Mary E. Valiga is a scholar working on Hepatology, Epidemiology, Immunology, Infectious Diseases and Virology, having authored 10 papers that have together received 809 indexed citations. Recurring topics across this work include Hepatitis C virus research (9 papers), Hepatitis B Virus Studies (3 papers), Immune Cell Function and Interaction (3 papers), HIV Research and Treatment (1 paper), Diabetes and associated disorders (1 paper), Hepatitis Viruses Studies and Epidemiology (1 paper), T-cell and B-cell Immunology (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Hepatology (434 citations), Immunology (386 citations), Virology (59 citations), Epidemiology (309 citations) and Oncology (141 citations). Mary E. Valiga has collaborated with scholars based in United States, United Kingdom and Thailand. Frequent co-authors include Kyong‐Mi Chang, Nobuhiro Nakamoto, Mary Kaminski, David A. Price, Gordon J. Freeman, E. John Wherry, Kim M. Olthoff, Emma Gostick, Abraham Shaked and David E. Kaplan. Their work appears in journals such as Gastroenterology, Hepatology, Journal of Clinical Gastroenterology, Journal of Hepatology and PLoS Pathogens.

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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