Danielle Hickman
Impact in
- Agronomy and Crop Science top 2%
- Animal Disease Management and Epidemiology
- Epidemiology top 5%
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
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- Viral gastroenteritis research and epidemiology 4
-
- Animal Disease Management and Epidemiology 4
- Co-authors
- Daniel R. Pérez (8 shared papers)M. Jaber Hossain (3 shared papers)Robert A. Lamb (1 shared paper)David J. Jackson (1 shared paper)Jianqiang Ye (6 shared papers)Balaji Manicassamy (2 shared papers)Adolfo García‐Sastre (2 shared papers)Rafael Medina (2 shared papers)
- Journals
- Journal of Virology (4 papers)PLoS Pathogens (2 papers)mBio (1 paper)Journal of General Virology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
Danielle Hickman
16 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 71
- Agronomy and Crop Science 285
- Epidemiology 731
- Infectious Diseases 390
- Immunology 264
- Animal Science and Zoology 105
Countries citing papers authored by Danielle Hickman
This map shows the geographic impact of Danielle Hickman'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 Danielle Hickman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Hickman more than expected).
Fields of papers citing papers by Danielle Hickman
This network shows the impact of papers produced by Danielle Hickman. 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 Danielle Hickman. The network helps show where Danielle Hickman may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Hickman, 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 | 2008 | 349 | |
| 2 | 2010 | 148 | |
| 3 | 2008 | 113 | |
| 4 | 2010 | 100 | |
| 5 | 2013 | 91 | |
| 6 | 2014 | 47 | |
| 7 | 2009 | 42 | |
| 8 | 2010 | 34 | |
| 9 | 2020 | 25 | |
| 10 | 2016 | 20 | |
| 11 | 2008 | 20 | |
| 12 | 2012 | 19 | |
| 13 | 2023 | 12 | |
| 14 | 2014 | 11 | |
| 15 | A monoclonal antibody-based ELISA for differential diagnosis of 2009 pandemic H1N1. | 2011 | 1 |
| 16 | 2025 | 1 |
About Danielle Hickman
Danielle Hickman is a scholar working on Infectious Diseases, Agronomy and Crop Science, Epidemiology, Immunology and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (8 papers), Viral gastroenteritis research and epidemiology (4 papers), Respiratory viral infections research (4 papers), Animal Disease Management and Epidemiology (4 papers), Viral Infections and Immunology Research (4 papers), Immune Response and Inflammation (4 papers), COVID-19 epidemiological studies (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Agronomy and Crop Science (285 citations), Epidemiology (731 citations), Infectious Diseases (390 citations), Immunology (264 citations) and Animal Science and Zoology (105 citations). Danielle Hickman has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Daniel R. Pérez, M. Jaber Hossain, Robert A. Lamb, David J. Jackson, Jianqiang Ye, Balaji Manicassamy, Adolfo García‐Sastre, Rafael Medina, Matthew Angel and Haichen Song. Their work appears in journals such as Journal of Virology, PLoS Pathogens, mBio, Journal of General Virology and PLoS ONE.
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.