Margaret E. Ackerman
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
- Virology 53
- HIV Research and Treatment 53
- Immunology 85
- Immune Cell Function and Interaction 35
- T-cell and B-cell Immunology 30
- Complement system in diseases 13
- Co-authors
- Galit AlterChris Bailey‐KelloggAnne‐Sophie DugastAustin W. BoeschEric P. BrownK. Dane WittrupAndrew R. CrowleyDan H. Barouch
- Journals
- Frontiers in Immunology (11 papers)The Journal of Infectious Diseases (10 papers)Journal of Immunological Methods (10 papers)mAbs (6 papers)PLoS Pathogens (6 papers)
- Partner nations
- United StatesBelgiumUnited Kingdom
In The Last Decade
Margaret E. Ackerman
145 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 116
- Virology 1.3k
- Immunology 2.2k
- Radiology, Nuclear Medicine and Imaging 1.8k
- Infectious Diseases 978
- Epidemiology 735
Countries citing papers authored by Margaret E. Ackerman
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 15 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 10 | |
| 9 | 2021 | 4 | |
| 10 | 2021 | 19 | |
| 11 | 2020 | 16 | |
| 12 | 2020 | 49 | |
| 13 | 2019 | 53 | |
| 14 | 2018 | 66 | |
| 15 | 2018 | 56 | |
| 16 | 2018 | 20 | |
| 17 | 2016 | 35 | |
| 18 | 2016 | 38 | |
| 19 | 2015 | 31 | |
| 20 | 2011 | 26 |
About Margaret E. Ackerman
Margaret E. Ackerman is a scholar working on Virology, Immunology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Hematology, having authored 155 papers that have together received 4.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (79 papers), HIV Research and Treatment (53 papers), Immune Cell Function and Interaction (35 papers), Glycosylation and Glycoproteins Research (30 papers), T-cell and B-cell Immunology (30 papers), Viral gastroenteritis research and epidemiology (15 papers), Viral Infections and Immunology Research (14 papers) and Complement system in diseases (13 papers). The work is most often cited by research in Virology (1.3k citations), Immunology (2.2k citations), Radiology, Nuclear Medicine and Imaging (1.8k citations), Infectious Diseases (978 citations) and Epidemiology (735 citations). Margaret E. Ackerman has collaborated with scholars based in United States, Belgium and United Kingdom. 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, Anna F. Licht and Todd J. Suscovich. 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.