Margaret E. Ackerman
Impact in
- Virology top 0.2%
- HIV Research and Treatment
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
Papers in
- Virology 90
- HIV Research and Treatment 90
-
- Monoclonal and Polyclonal Antibodies Research 54
- Co-authors
- Galit Alter (45 shared papers)Anne‐Sophie Dugast (14 shared papers)Chris Bailey‐Kellogg (15 shared papers)Eric P. Brown (12 shared papers)Austin W. Boesch (17 shared papers)Karl Dane Wittrup (6 shared papers)Todd J. Suscovich (11 shared papers)Andrew R. Crowley (13 shared papers)
- Journals
- Frontiers in Immunology (14 papers)The Journal of Infectious Diseases (11 papers)PLoS Pathogens (10 papers)Journal of Immunological Methods (10 papers)mAbs (7 papers)
- Partner nations
- United StatesBelgiumUnited Kingdom
In The Last Decade
Margaret E. Ackerman
183 papers receiving 7.5k citations
Peers
Comparison fields: 5 of 111
- Virology 2.9k
- Infectious Diseases 1.3k
- Radiology, Nuclear Medicine and Imaging 1.4k
- Immunology 793
- Computational Mathematics 12
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-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.
All Works
Showing the 20 most-cited of 201 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 386 | |
| 2 | 2014 | 349 | |
| 3 | 2013 | 309 | |
| 4 | 2015 | 299 | |
| 5 | 2015 | 264 | |
| 6 | 2016 | 214 | |
| 7 | 2012 | 191 | |
| 8 | 2016 | 175 | |
| 9 | 2017 | 155 | |
| 10 | 2017 | 120 | |
| 11 | 2020 | 117 | |
| 12 | 2018 | 115 | |
| 13 | 2014 | 107 | |
| 14 | 2019 | 102 | |
| 15 | 2021 | 92 | |
| 16 | 2011 | 90 | |
| 17 | 2014 | 89 | |
| 18 | 2008 | 88 | |
| 19 | 2020 | 88 | |
| 20 | 2013 | 87 |
About Margaret E. Ackerman
Margaret E. Ackerman is a scholar working on Virology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Immunology and Cardiology and Cardiovascular Medicine, having authored 201 papers that have together received 7.6k indexed citations. Recurring topics across this work include HIV Research and Treatment (90 papers), Monoclonal and Polyclonal Antibodies Research (54 papers), SARS-CoV-2 and COVID-19 Research (18 papers), Viral Infections and Immunology Research (12 papers), vaccines and immunoinformatics approaches (7 papers), Glycosylation and Glycoproteins Research (6 papers), HIV/AIDS Research and Interventions (6 papers) and CAR-T cell therapy research (5 papers). The work is most often cited by research in Virology (2.9k citations), Infectious Diseases (1.3k citations), Radiology, Nuclear Medicine and Imaging (1.4k citations), Immunology (793 citations) and Computational Mathematics (12 citations). Margaret E. Ackerman has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Galit Alter, Anne‐Sophie Dugast, Chris Bailey‐Kellogg, Eric P. Brown, Austin W. Boesch, Karl Dane Wittrup, Todd J. Suscovich, Andrew R. Crowley, Anna F. Licht and Dan H. Barouch. Their work appears in journals such as Frontiers in Immunology, The Journal of Infectious Diseases, PLoS Pathogens, Journal of Immunological Methods and mAbs.
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.