Jackie Katz

448 citations
8 papers · 352 · h-index 8

Impact in

  • Epidemiology top 10%
    • Influenza Virus Research Studies
    • Respiratory viral infections research
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction

Papers in

    • Influenza Virus Research Studies 8
    • Respiratory viral infections research 5
    • Data-Driven Disease Surveillance 1
    • Animal Disease Management and Epidemiology 2

Jackie Katz

8 papers receiving 336 citations

Peers

Jackie Katz
Comparison fields: 5 of 41
  • Epidemiology 293
  • Immunology 101
  • Infectious Diseases 71
  • Endocrinology 19
  • Agronomy and Crop Science 35
Replace Hyunsuh Kim with:
Hyunsuh Kim Australia
Yipu Lin United Kingdom
Xavier Bouhy Canada
Kangchon Kim United States
Arun V. Iyer United States
Kangwei Xu China
Erin E. Verity Australia
Anton Chesnokov United States
Atsuhiro Yasuhara Japan
Jojanneke Dekkers Netherlands
Jackie Katz relative to Hyunsuh Kim Australia Hyunsuh Kim's profile →
Citations per field
00.5×1.5×2.5×
Hyunsuh Kim · 1×
Citations per year

Countries citing papers authored by Jackie Katz

Since Specialization
Citations

This map shows the geographic impact of Jackie 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 Jackie Katz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jackie Katz more than expected).

Fields of papers citing papers by Jackie Katz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jackie 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 Jackie Katz. The network helps show where Jackie Katz may publish in the future.

Co-authors

The 25 scholars most cited alongside Jackie Katz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jackie Katz Line = papers co-authored together Jackie Katz links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 201987
2 199775
3 201959
4 201549
5 201432
6 198118
7
Update: Influenza Activity — United States, September 29–December 7, 2013
201316
8 198516

About Jackie Katz

Jackie Katz is a scholar working on Epidemiology, Agronomy and Crop Science, Immunology, Infectious Diseases and Endocrine and Autonomic Systems, having authored 8 papers that have together received 352 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (8 papers), Respiratory viral infections research (5 papers), Immune Cell Function and Interaction (2 papers), Animal Disease Management and Epidemiology (2 papers), Data-Driven Disease Surveillance (1 paper), Immunotherapy and Immune Responses (1 paper), Diabetes and associated disorders (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Epidemiology (293 citations), Immunology (101 citations), Infectious Diseases (71 citations), Endocrinology (19 citations) and Agronomy and Crop Science (35 citations). Jackie Katz has collaborated with scholars based in United States, Australia and Kenya. Frequent co-authors include Xiaoqing Lu, J C Galphin, Stephen Young, David E. Wentworth, Anton Chesnokov, Juan De La Cruz, Larisa V. Gubareva, Vasiliy P. Mishin, Ha Nguyen and Rebecca Garten. Their work appears in journals such as The Journal of Immunology, Scientific Reports, Eurosurveillance, MMWR Morbidity and Mortality Weekly Report and Open Forum Infectious Diseases.

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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