Mary E. Schaefer

2.0k citations
24 papers · 1.8k · h-index 20

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
    • HIV Research and Treatment 6

Mary E. Schaefer

24 papers receiving 1.7k citations

Peers

Mary E. Schaefer
Comparison fields: 5 of 85
  • Virology 220
  • Immunology 884
  • Infectious Diseases 299
  • Biotechnology 126
  • Immunology and Allergy 70
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Citations per field
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Citations per year

Countries citing papers authored by Mary E. Schaefer

Since Specialization
Citations

This map shows the geographic impact of Mary E. 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 E. 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 E. Schaefer more than expected).

Fields of papers citing papers by Mary E. Schaefer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014307
2 2000167
3 1993166
4 2001160
5 2004152
6 199496
7 198683
8 198967
9 198466
10 200563
11 200562
12 201359
13 200357
14 199051
15 198651
16 198547
17 201544
18 199231
19 200022
20 199520

About Mary E. Schaefer

Mary E. Schaefer is a scholar working on Immunology, Virology, Immunology and Allergy, Oncology and Molecular Biology, having authored 24 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (9 papers), T-cell and B-cell Immunology (7 papers), HIV Research and Treatment (6 papers), Immune Cell Function and Interaction (6 papers), Glycosylation and Glycoproteins Research (3 papers), CAR-T cell therapy research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Virology (220 citations), Immunology (884 citations), Infectious Diseases (299 citations), Biotechnology (126 citations) and Immunology and Allergy (70 citations). Mary E. Schaefer has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Jonathan D. Sprent, Gillis R. Otten, Susan W. Barnett, Barbara Doe, James H. Gilbert, Jan zur Megede, Jeffrey B. Ulmer, Derek T. O’Hagan, Minchao Chen and Jon O. Nagy. Their work appears in journals such as Journal of Virology, Vaccine, Immunological Reviews, The Journal of Immunology and Glycobiology.

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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