Margaret E. Ackerman

9.5k citations
158 papers · 4.5k · h-index 40

Impact in

  • Virology top 0.5%
    • HIV Research and Treatment
  • Immunology top 1%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

Margaret E. Ackerman

146 papers receiving 4.4k citations

Peers

Margaret E. Ackerman
Comparison fields: 5 of 114
  • Virology 1.2k
  • Immunology 1.9k
  • Radiology, Nuclear Medicine and Imaging 1.7k
  • Infectious Diseases 847
  • Epidemiology 643
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Citations per field
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Citations per year

Countries citing papers authored by Margaret E. Ackerman

Since Specialization
Citations

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

Fields of papers citing papers by Margaret E. Ackerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013282
2 2010274
3 2016185
4 2012127
5 2017113
6 201499
7 201986
8 201185
9 200884
10 201381
11 202076
12 201676
13 201476
14 200975
15 202175
16 201672
17 201069
18 200968
19 201868
20 201168

About Margaret E. Ackerman

Margaret E. Ackerman is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Molecular Biology, Virology and Epidemiology, having authored 158 papers that have together received 4.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (75 papers), HIV Research and Treatment (47 papers), Immune Cell Function and Interaction (31 papers), Glycosylation and Glycoproteins Research (29 papers), T-cell and B-cell Immunology (29 papers), Viral Infections and Immunology Research (15 papers), Complement system in diseases (11 papers) and vaccines and immunoinformatics approaches (11 papers). The work is most often cited by research in Virology (1.2k citations), Immunology (1.9k citations), Radiology, Nuclear Medicine and Imaging (1.7k citations), Infectious Diseases (847 citations) and Epidemiology (643 citations). Margaret E. Ackerman has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Galit Alter, Chris Bailey‐Kellogg, Anne‐Sophie Dugast, Austin W. Boesch, Eric P. Brown, K. Dane Wittrup, Andrew R. Crowley, Dan H. Barouch, Todd J. Suscovich and Anna F. Licht. Their work appears in journals such as Frontiers in Immunology, The Journal of Infectious Diseases, Journal of Immunological Methods, mAbs 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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