Mary Beth Hanley

1.9k total citations
15 papers, 1.5k citations indexed

About

Mary Beth Hanley is a scholar working on Virology, Immunology and Molecular Biology. According to data from OpenAlex, Mary Beth Hanley has authored 15 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Virology, 8 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Mary Beth Hanley's work include HIV Research and Treatment (8 papers), Immune Cell Function and Interaction (7 papers) and T-cell and B-cell Immunology (6 papers). Mary Beth Hanley is often cited by papers focused on HIV Research and Treatment (8 papers), Immune Cell Function and Interaction (7 papers) and T-cell and B-cell Immunology (6 papers). Mary Beth Hanley collaborates with scholars based in United States, Slovakia and United Kingdom. Mary Beth Hanley's co-authors include Joseph M. McCune, Rebecca Hoh, Marc K. Hellerstein, Denise Cesar, Richard A. Neese, Eric Wieder, Steven G. Deeks, Ingrid E. Wertz, Daniel Lee and David J. Schmidt and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and Blood.

In The Last Decade

Mary Beth Hanley

15 papers receiving 1.5k citations

Peers

Mary Beth Hanley
Comparison fields: 5 of 103
  • Immunology 778
  • Virology 769
  • Infectious Diseases 363
  • Molecular Biology 286
  • Epidemiology 224
Replace Qigui Yu with:
Qigui Yu United States
Kirston Barton Australia
Yoshiko Usami Japan
James C. Williamson United Kingdom
David J. Schmidt United States
Elias G. Argyris United States
Lucile Espert France
Uriel Hazan France
Saba Valadkhan United States
José Carlos Valle‐Casuso France
Qigui Yu United States View profile →
Citations per field, relative to Mary Beth Hanley
Mary Beth Hanley · 1×
Citations per year, relative to Mary Beth Hanley
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Countries citing papers authored by Mary Beth Hanley

Since Specialization
Citations

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

Fields of papers citing papers by Mary Beth Hanley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary Beth Hanley

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Beth Hanley. A scholar is included among the top collaborators of Mary Beth Hanley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mary Beth Hanley. Mary Beth Hanley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 1
2 14
3 38
4 27
5 42
6 163
7 36
8 156
9 86
10 200
11 466
12 76
13 83
14 124
15 20

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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