Munir Alam
Impact in
- Virology top 2%
- HIV Research and Treatment
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- T-cell and B-cell Immunology
Papers in ⓘ
- Virology 6
- HIV Research and Treatment 6
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- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 3
- T-cell and B-cell Immunology 3
- Co-authors
- Richard W. Compans (2 shared papers)Shelley Stewart (1 shared paper)Helder I. Nakaya (1 shared paper)Sudhir Pai Kasturi (1 shared paper)Niren Murthy (1 shared paper)John Steel (1 shared paper)Rajesh Ravindran (1 shared paper)Marcin Kwissa (1 shared paper)
- Journals
- Journal of Virology (3 papers)Proceedings of the National Academy of Sciences (1 paper)Journal of Allergy and Clinical Immunology (1 paper)International Journal of Infectious Diseases (1 paper)Nature (1 paper)
- Partner nations
- United StatesAustraliaSouth Africa
In The Last Decade
Munir Alam
11 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Virology 296
- Immunology 871
- Endocrinology 118
- Infectious Diseases 227
- Microbiology 73
Countries citing papers authored by Munir Alam
This map shows the geographic impact of Munir Alam'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 Munir Alam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Munir Alam more than expected).
Fields of papers citing papers by Munir Alam
This network shows the impact of papers produced by Munir Alam. 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 Munir Alam. The network helps show where Munir Alam may publish in the future.
Co-authors
The 25 scholars most cited alongside Munir Alam, 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 | Programming the magnitude and persistence of antibody responses with innate immunity Hit paper breakdown → | 2011 | 754 |
| 2 | 2013 | 137 | |
| 3 | 2011 | 107 | |
| 4 | 2011 | 106 | |
| 5 | 2007 | 80 | |
| 6 | 2014 | 72 | |
| 7 | 2008 | 37 | |
| 8 | 2006 | 26 | |
| 9 | 2003 | 23 | |
| 10 | 2020 | 18 | |
| 11 | 2018 | 10 |
About Munir Alam
Munir Alam is a scholar working on Virology, Immunology, Modeling and Simulation, Endocrinology and Health, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (6 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Advanced MEMS and NEMS Technologies (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Mechanical and Optical Resonators (1 paper). The work is most often cited by research in Virology (296 citations), Immunology (871 citations), Endocrinology (118 citations), Infectious Diseases (227 citations) and Microbiology (73 citations). Munir Alam has collaborated with scholars based in United States, Australia and South Africa. Frequent co-authors include Richard W. Compans, Shelley Stewart, Helder I. Nakaya, Sudhir Pai Kasturi, Niren Murthy, John Steel, Rajesh Ravindran, Marcin Kwissa, Dimitrios Koutsonanos and Ioanna Skountzou. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Journal of Allergy and Clinical Immunology, International Journal of Infectious Diseases and Nature.
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.