Mary Schaefer

2.0k citations
23 papers · 1.4k · h-index 18

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Immunotherapy and Immune Responses 9
    • T-cell and B-cell Immunology 7
    • Immune Cell Function and Interaction 6
    • Glycosylation and Glycoproteins Research 3
    • RNA Interference and Gene Delivery 2

Mary Schaefer

23 papers receiving 1.3k citations

Peers

Mary Schaefer
Comparison fields: 5 of 83
  • Virology 198
  • Immunology 721
  • Biotechnology 112
  • Immunology and Allergy 68
  • Infectious Diseases 185
Replace Gordon Tribbick with:
Gordon Tribbick Australia
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Glenn Ishioka United States
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George E. Mark United States
Michel Jolivet France
Fred R. Frankel United States
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Noelene E. Byars United States
Mary Schaefer relative to Gordon Tribbick Australia Gordon Tribbick's profile →
Citations per field
00.5×1.5×2.0×
Gordon Tribbick · 1×
Citations per year

Countries citing papers authored by Mary Schaefer

Since Specialization
Citations

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

Fields of papers citing papers by Mary Schaefer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000163
2 1993152
3 2001141
4 2004139
5 199494
6 198680
7 198466
8 198964
9 201356
10 200555
11 199052
12 200551
13 200350
14 198649
15 198545
16 201539
17 199226
18 200022
19 199517
20 199614

About Mary Schaefer

Mary Schaefer is a scholar working on Immunology, Molecular Biology, Virology, Oncology and Infectious Diseases, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (9 papers), T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers), HIV Research and Treatment (6 papers), Glycosylation and Glycoproteins Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), CAR-T cell therapy research (3 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Virology (198 citations), Immunology (721 citations), Biotechnology (112 citations), Immunology and Allergy (68 citations) and Infectious Diseases (185 citations). Mary Schaefer has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Jonathan Sprent, Gillis R. Otten, Susan W. Barnett, Barbara Doe, James H. Gilbert, Jan zur Megede, Jeffrey B. Ulmer, Minchao Chen, Derek T. O’Hagan and Jon O. Nagy. Their work appears in journals such as Journal of Virology, Vaccine, The Journal of Immunology, Immunological Reviews and Journal of Medicinal Chemistry.

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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