Melissa M. Higdon
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 11
- COVID-19 Clinical Research Studies 10
- Modeling and Simulation top 5%
- Health top 5%
- Vaccine Coverage and Hesitancy 4
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- Pneumonia and Respiratory Infections 8
- Respiratory viral infections research 7
- Pneumocystis jirovecii pneumonia detection and treatment 4
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- Emergency and Acute Care Studies 3
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- Bacillus and Francisella bacterial research 2
- Co-authors
- Maria Deloria KnollDaniel R. FeikinMinal PatelNick AndrewsKatherine L. O’BrienLaith J. Abu‐RaddadIoannis SitarasHenning Jacobsen
- Partner nations
- United StatesSwitzerlandNew Zealand
In The Last Decade
Melissa M. Higdon
22 papers receiving 407 citations
Peers
Comparison fields: 5 of 70
- Infectious Diseases 273
- Modeling and Simulation 62
- Health 109
- Epidemiology 107
- Health, Toxicology and Mutagenesis 41
Countries citing papers authored by Melissa M. Higdon
This map shows the geographic impact of Melissa M. Higdon'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 Melissa M. Higdon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa M. Higdon more than expected).
Fields of papers citing papers by Melissa M. Higdon
This network shows the impact of papers produced by Melissa M. Higdon. 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 Melissa M. Higdon. The network helps show where Melissa M. Higdon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Melissa M. Higdon, 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 | 2023 | 12 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 19 | |
| 5 | 2022 | 57 | |
| 6 | 2022 | 18 | |
| 7 | 2022 | 51 | |
| 8 | 2022 | 12 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 2 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2021 | 64 | |
| 15 | 2021 | 13 | |
| 16 | 2020 | 9 | |
| 17 | 2020 | 18 | |
| 18 | 2017 | 14 | |
| 19 | 2015 | 41 | |
| 20 | 2015 | 8 |
About Melissa M. Higdon
Melissa M. Higdon is a scholar working on Infectious Diseases, Health and Modeling and Simulation, having authored 23 papers that have together received 414 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (11 papers), COVID-19 Clinical Research Studies (10 papers), Pneumonia and Respiratory Infections (8 papers), Respiratory viral infections research (7 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Vaccine Coverage and Hesitancy (4 papers), Emergency and Acute Care Studies (3 papers) and Bacillus and Francisella bacterial research (2 papers). The work is most often cited by research in Infectious Diseases (273 citations), Modeling and Simulation (62 citations) and Health (109 citations). Melissa M. Higdon has collaborated with scholars based in United States, Switzerland and New Zealand. Frequent co-authors include Maria Deloria Knoll, Daniel R. Feikin, Minal Patel, Nick Andrews, Katherine L. O’Brien, Laith J. Abu‐Raddad, Ioannis Sitaras, Henning Jacobsen, Mary‐Ann Davies and Walter A. Orenstein. Their work appears in journals such as Nature Communications, PLoS ONE and Clinical Infectious Diseases.
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.