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
-
- Influenza Virus Research Studies 8
- Respiratory viral infections research 4
-
- Viral gastroenteritis research and epidemiology 4
- Co-authors
- Daniel R. Pérez (9 shared papers)M. Jaber Hossain (3 shared papers)David J. Jackson (1 shared paper)Robert A. Lamb (1 shared paper)Jianqiang Ye (6 shared papers)Balaji Manicassamy (2 shared papers)Rafael Medina (2 shared papers)Adolfo Garcı́a-Sastre (2 shared papers)
- Journals
- Journal of Virology (4 papers)PLoS Pathogens (2 papers)PLoS Currents (1 paper)Journal of General Virology (1 paper)mBio (1 paper)
- Partner nations
- United StatesNetherlandsArgentina
In The Last Decade
Danielle Hickman
15 papers receiving 962 citations
Peers
Comparison fields: 5 of 68
- Agronomy and Crop Science 302
- Epidemiology 725
- Infectious Diseases 384
- Immunology 288
- Animal Science and Zoology 109
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 | 334 | |
| 2 | 2010 | 145 | |
| 3 | 2008 | 113 | |
| 4 | 2010 | 98 | |
| 5 | 2013 | 85 | |
| 6 | 2014 | 47 | |
| 7 | 2009 | 41 | |
| 8 | 2010 | 31 | |
| 9 | 2016 | 19 | |
| 10 | 2012 | 19 | |
| 11 | 2020 | 19 | |
| 12 | 2008 | 18 | |
| 13 | 2014 | 11 | |
| 14 | A monoclonal antibody-based ELISA for differential diagnosis of 2009 pandemic H1N1. | 2011 | 1 |
| 15 | 2025 | 1 |
About Danielle Hickman
Danielle Hickman is a scholar working on Epidemiology, Infectious Diseases, Immunology, Cardiology and Cardiovascular Medicine and Agronomy and Crop Science, having authored 15 papers that have together received 982 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (8 papers), Animal Disease Management and Epidemiology (4 papers), Immune Response and Inflammation (4 papers), Respiratory viral infections research (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Viral Infections and Immunology Research (4 papers), Vector-Borne Animal Diseases (3 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Agronomy and Crop Science (302 citations), Epidemiology (725 citations), Infectious Diseases (384 citations), Immunology (288 citations) and Animal Science and Zoology (109 citations). Danielle Hickman has collaborated with scholars based in United States, Netherlands and Argentina. Frequent co-authors include Daniel R. Pérez, M. Jaber Hossain, David J. Jackson, Robert A. Lamb, Jianqiang Ye, Balaji Manicassamy, Rafael Medina, Adolfo Garcı́a-Sastre, Matthew Angel and Haichen Song. Their work appears in journals such as Journal of Virology, PLoS Pathogens, PLoS Currents, Journal of General Virology and mBio.
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.