Megan D. Null
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
- Immune Response and Inflammation
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
Papers in
-
- Tuberculosis Research and Epidemiology 13
-
- T-cell and B-cell Immunology 7
- Immunotherapy and Immune Responses 4
- Co-authors
- David M. Lewinsohn (16 shared papers)Gwendolyn M. Swarbrick (15 shared papers)Meghan E. Cansler (13 shared papers)Deborah Anne Lewinsohn (7 shared papers)Melanie J. Harriff (6 shared papers)Matthew S. Cook (2 shared papers)Todd M. Vogt (2 shared papers)David B. Jacoby (1 shared paper)
- Journals
- PLoS ONE (3 papers)Scientific Reports (2 papers)European Respiratory Journal (1 paper)Communications Biology (1 paper)Tuberculosis (1 paper)
- Partner nations
- United StatesUgandaAustralia
In The Last Decade
Megan D. Null
17 papers receiving 1.1k citations
Megan D. Null's Hit Papers
Peers
Comparison fields: 5 of 52
- Immunology 535
- Infectious Diseases 480
- Virology 35
- Molecular Biology 178
- Hepatology 16
Countries citing papers authored by Megan D. Null
This map shows the geographic impact of Megan D. Null'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 Megan D. Null with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megan D. Null more than expected).
Fields of papers citing papers by Megan D. Null
This network shows the impact of papers produced by Megan D. Null. 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 Megan D. Null. The network helps show where Megan D. Null may publish in the future.
Co-authors
The 25 scholars most cited alongside Megan D. Null, 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 | Human Mucosal Associated Invariant T Cells Detect Bacterially Infected Cells Hit paper breakdown → | 2010 | 555 |
| 2 | 2007 | 125 | |
| 3 | 2018 | 110 | |
| 4 | 2011 | 60 | |
| 5 | 2013 | 46 | |
| 6 | 2017 | 46 | |
| 7 | 2017 | 41 | |
| 8 | 2013 | 38 | |
| 9 | 2017 | 35 | |
| 10 | 2020 | 23 | |
| 11 | 2020 | 17 | |
| 12 | 2018 | 12 | |
| 13 | 2019 | 9 | |
| 14 | 2022 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2022 | 5 | |
| 17 | 2019 | 2 | |
| 18 | 2024 | 0 | |
| 19 | 2026 | 0 |
About Megan D. Null
Megan D. Null is a scholar working on Infectious Diseases, Immunology, Molecular Biology, Epidemiology and Nuclear Energy and Engineering, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (13 papers), T-cell and B-cell Immunology (7 papers), vaccines and immunoinformatics approaches (7 papers), Immunotherapy and Immune Responses (4 papers) and Sepsis Diagnosis and Treatment (2 papers). The work is most often cited by research in Immunology (535 citations), Infectious Diseases (480 citations), Virology (35 citations), Molecular Biology (178 citations) and Hepatology (16 citations). Megan D. Null has collaborated with scholars based in United States, Uganda and Australia. Frequent co-authors include David M. Lewinsohn, Gwendolyn M. Swarbrick, Meghan E. Cansler, Deborah Anne Lewinsohn, Melanie J. Harriff, Matthew S. Cook, Todd M. Vogt, David B. Jacoby, Marielle C. Gold and Susan Smyk‐Pearson. Their work appears in journals such as PLoS ONE, Scientific Reports, European Respiratory Journal, Communications Biology and Tuberculosis.
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.