Melissa A. Hickey
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research 4
- COVID-19 Clinical Research Studies 3
- Viral gastroenteritis research and epidemiology 2
- Neurology top 2%
- Obstetrics and Gynecology top 5%
- Animal Science and Zoology top 5%
- Genetics top 10%
- Virus-based gene therapy research 5
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- Viral Infectious Diseases and Gene Expression in Insects 3
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- Respiratory viral infections research 2
- Influenza Virus Research Studies 1
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- CAR-T cell therapy research 2
- Co-authors
- Paul B. McCrayLei ShiDwight C. LookHong Peng JiaChristine Wohlford-LenaneJason NetlandStanley PerlmanLecia L. Pewe
- Journals
- Blood (1 paper)Journal of Virology (4 papers)American Journal of Physiology-Lung Cellular and Molecular Physiology (1 paper)
- Partner nations
- United StatesFranceVietnam
In The Last Decade
Melissa A. Hickey
10 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Infectious Diseases 1.3k
- Neurology 457
- Obstetrics and Gynecology 102
- Animal Science and Zoology 120
- Genetics 265
Countries citing papers authored by Melissa A. Hickey
This map shows the geographic impact of Melissa A. Hickey'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 A. Hickey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa A. Hickey more than expected).
Fields of papers citing papers by Melissa A. Hickey
This network shows the impact of papers produced by Melissa A. Hickey. 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 A. Hickey. The network helps show where Melissa A. Hickey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Melissa A. Hickey, 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 | 2023 | 0 | |
| 2 | 2009 | 258 | |
| 3 | 2007 | 22 | |
| 4 | Lethal Infection of K18- hACE2 Mice Infected with Severe Acute Respiratory Syndrome Coronavirusbreakdown → | 2006 | 641 |
| 5 | 2006 | 22 | |
| 6 | 2005 | 31 | |
| 7 | 2005 | 92 | |
| 8 | ACE2 Receptor Expression and Severe Acute Respiratory Syndrome Coronavirus Infection Depend on Differentiation of Human Airway Epitheliabreakdown → | 2005 | 643 |
| 9 | 2005 | 59 | |
| 10 | 2003 | 96 | |
| 11 | 2002 | 21 |
About Melissa A. Hickey
Melissa A. Hickey is a scholar working on Infectious Diseases, Genetics and Small Animals, having authored 11 papers that have together received 1.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), COVID-19 Clinical Research Studies (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Respiratory viral infections research (2 papers), CAR-T cell therapy research (2 papers) and Influenza Virus Research Studies (1 paper). The work is most often cited by research in Infectious Diseases (1.3k citations), Neurology (457 citations) and Obstetrics and Gynecology (102 citations). Melissa A. Hickey has collaborated with scholars based in United States, France and Vietnam. Frequent co-authors include Paul B. McCray, Lei Shi, Dwight C. Look, Hong Peng Jia, Christine Wohlford-Lenane, Jason Netland, Stanley Perlman, Lecia L. Pewe, Michael Farzan and Patricia Kirby. Their work appears in journals such as Blood, Journal of Virology and American Journal of Physiology-Lung Cellular and Molecular Physiology.
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.