Jacqueline M. Katz
- Agronomy and Crop Science top 0.01%
- Animal Disease Management and Epidemiology 83
- Epidemiology top 0.01%
- Influenza Virus Research Studies 251
- Respiratory viral infections research 133
- Infectious Diseases top 0.05%
- Viral gastroenteritis research and epidemiology 39
- Viral Infections and Vectors 24
- Immunology top 0.1%
- Immune Response and Inflammation 71
- interferon and immune responses 27
- Immune Cell Function and Interaction 19
- Modeling and Simulation top 0.2%
- Co-authors
- Terrence M. TumpeyNancy J. CoxXiuhua LuJessica A. BelserSuryaprakash SambharaDavid E. SwayneAdolfo Garcı́a-SastreThomas Rowe
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Jacqueline M. Katz
272 papers receiving 22.8k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Agronomy and Crop Science 6.5k
- Epidemiology 19.0k
- Infectious Diseases 7.9k
- Immunology 7.4k
- Modeling and Simulation 1.1k
Countries citing papers authored by Jacqueline M. Katz
This map shows the geographic impact of Jacqueline M. Katz'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 Jacqueline M. Katz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacqueline M. Katz more than expected).
Fields of papers citing papers by Jacqueline M. Katz
This network shows the impact of papers produced by Jacqueline M. Katz. 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 Jacqueline M. Katz. The network helps show where Jacqueline M. Katz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jacqueline M. Katz, 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 | 2022 | 6 | |
| 2 | 2019 | 53 | |
| 3 | 2017 | 10 | |
| 4 | 2017 | 3 | |
| 5 | 2016 | 6 | |
| 6 | 2016 | 29 | |
| 7 | 2016 | 7 | |
| 8 | 2015 | 1 | |
| 9 | 2013 | 53 | |
| 10 | 2012 | 14 | |
| 11 | 2012 | 4 | |
| 12 | 2012 | 38 | |
| 13 | 2011 | 100 | |
| 14 | 2011 | 104 | |
| 15 | 2011 | 1 | |
| 16 | 2010 | 124 | |
| 17 | 2010 | 114 | |
| 18 | 2006 | 329 | |
| 19 | 2002 | 499 | |
| 20 | 2002 | 208 |
About Jacqueline M. Katz
Jacqueline M. Katz is a scholar working on Agronomy and Crop Science, Epidemiology and Immunology, having authored 275 papers that have together received 23.6k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (251 papers), Respiratory viral infections research (133 papers), Animal Disease Management and Epidemiology (83 papers), Immune Response and Inflammation (71 papers), Viral gastroenteritis research and epidemiology (39 papers), interferon and immune responses (27 papers), Viral Infections and Vectors (24 papers) and Immune Cell Function and Interaction (19 papers). The work is most often cited by research in Agronomy and Crop Science (6.5k citations), Epidemiology (19.0k citations) and Infectious Diseases (7.9k citations). Jacqueline M. Katz has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Terrence M. Tumpey, Nancy J. Cox, Xiuhua Lu, Jessica A. Belser, Suryaprakash Sambhara, David E. Swayne, Adolfo Garcı́a-Sastre, Thomas Rowe, Hui Zeng and Taronna R. Maines. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.