Jacqueline M. Katz

40.3k citations
275 papers · 23.6k indexed · 6 hit papers · h-index 82
Topics
Influenza Virus Research Studies (251 papers)Respiratory viral infections research (133 papers)Animal Disease Management and Epidemiology (83 papers)

In The Last Decade

Jacqueline M. Katz

272 papers receiving 22.8k citations

Hit Papers

Characterization of an Avian Influenza A (H5N1) Virus Iso...1998202620072016199820092005199920082505007501000

Peers

Jacqueline M. Katz
Comparison fields: 5 of 179
  • Epidemiology 19.0k
  • Infectious Diseases 7.9k
  • Immunology 7.4k
  • Agronomy and Crop Science 6.5k
  • Molecular Biology 3.2k
Replace Terrence M. Tumpey with:
Terrence M. Tumpey United States
Richard J. Webby United States
Kanta Subbarao United States
Guus F. Rimmelzwaan Netherlands
David E. Swayne United States
Gavin J. D. Smith United States
Theo M. Bestebroer Netherlands
Florian Krammer United States
Rubén O. Donis United States
Hiroshi Kida Japan
Jacqueline M. Katz relative to Terrence M. Tumpey United States Terrence M. Tumpey's profile →
Citations per field
00.5×1.5×
Terrence M. Tumpey · 1×
Citations per year

Countries citing papers authored by Jacqueline M. Katz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Jacqueline M. Katz

This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline M. Katz. A scholar is included among the top collaborators of Jacqueline M. Katz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jacqueline M. Katz. Jacqueline M. Katz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 53
3 10
4 3
5 6
6 29
7 7
8 1
9 53
10 14
11 4
12 38
13 100
14 104
15 1
16 124
17 114
18 329
19 499
20 208

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) and Animal Disease Management and Epidemiology (83 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.

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