Matthew E. Harris

1.1k citations
18 papers · 881 · h-index 12

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • RNA Research and Splicing 4
    • vaccines and immunoinformatics approaches 2
    • HIV Research and Treatment 7

Matthew E. Harris

18 papers receiving 872 citations

Peers

Matthew E. Harris
Comparison fields: 5 of 84
  • Virology 389
  • Infectious Diseases 230
  • Genetics 277
  • Molecular Biology 438
  • Immunology 133
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Matthew E. Harris relative to Barbara E. Meyer United States Barbara E. Meyer's profile →
Citations per field
00.5×3.4×
Barbara E. Meyer · 1×
Citations per year

Countries citing papers authored by Matthew E. Harris

Since Specialization
Citations

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

Fields of papers citing papers by Matthew E. Harris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1999227
2 2000139
3 1998106
4 200286
5 200269
6 200267
7 199842
8 201333
9 199831
10 200031
11 200317
12 200412
13 201610
14 20055
15 19992
16 20192
17 20211
18 20241

About Matthew E. Harris

Matthew E. Harris is a scholar working on Molecular Biology, Virology, Infectious Diseases, Genetics and Information Systems and Management, having authored 18 papers that have together received 881 indexed citations. Recurring topics across this work include HIV Research and Treatment (7 papers), Virus-based gene therapy research (4 papers), RNA Research and Splicing (4 papers), Technology Adoption and User Behaviour (3 papers), Viral Infections and Immunology Research (2 papers), Team Dynamics and Performance (2 papers), HIV/AIDS drug development and treatment (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Virology (389 citations), Infectious Diseases (230 citations), Genetics (277 citations), Molecular Biology (438 citations) and Immunology (133 citations). Matthew E. Harris has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Thomas J. Hope, Matthew D. Weitzman, John E. Donello, Glen Otero, Hans‐Georg Kräusslich, Gabriel Rütter, Nathaniel R. Landau, Roberto Mariani, Deborah L. Birx and Francine E. McCutchan. Their work appears in journals such as AIDS Research and Human Retroviruses, Journal of Virology, Molecular and Cellular Biology, Human Gene Therapy and Chemical Communications.

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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