Sharon K. Greene

3.5k citations
68 papers · 2.1k indexed · h-index 23
Topics
Influenza Virus Research Studies (21 papers)Data-Driven Disease Surveillance (20 papers)COVID-19 epidemiological studies (20 papers)
Journals
The LancetSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Sharon K. Greene

65 papers receiving 2.0k citations

Peers

Sharon K. Greene
Comparison fields: 5 of 133
  • Epidemiology 811
  • Infectious Diseases 621
  • Food Science 272
  • Neurology 262
  • Health 255
Replace Tyra Grove Krause with:
Tyra Grove Krause Denmark
Saki Takahashi United States
Ali A. Sultan Qatar
Philip H. Li China
Alexander D. Langmuir United States
Ping Ren United States
Shuaiyin Chen China
Marco Massari Italy
Buddha Basnyat Nepal
Sharon K. Greene relative to Tyra Grove Krause Denmark Tyra Grove Krause's profile →
Citations per field
00.5×3.4×
Tyra Grove Krause · 1×
Citations per year

Countries citing papers authored by Sharon K. Greene

Since Specialization
Citations

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

Fields of papers citing papers by Sharon K. Greene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sharon K. Greene. 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 Sharon K. Greene. The network helps show where Sharon K. Greene may publish in the future.

Co-authorship network of co-authors of Sharon K. Greene

This figure shows the co-authorship network connecting the top 25 collaborators of Sharon K. Greene. A scholar is included among the top collaborators of Sharon K. Greene 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 Sharon K. Greene. Sharon K. Greene 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 0
2 8
3 2
4 8
5 16
6 23
7 17
8 3
9 18
10 16
11 40
12 17
13 12
14 70
15 7
16 12
17 29
18
Influenza Vaccine Safety: Simulating Real-Time Surveillance for Adverse Events in the Vaccine Safety Datalink Project
2
19 5
20 168

About Sharon K. Greene

Sharon K. Greene is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology, having authored 68 papers that have together received 2.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (21 papers), Data-Driven Disease Surveillance (20 papers) and COVID-19 epidemiological studies (20 papers). The work is most often cited by research in Modeling and Simulation (255 citations), Infectious Diseases (621 citations) and Health (255 citations). Sharon K. Greene has collaborated with scholars based in United States, United Kingdom and Uganda. Frequent co-authors include Grace M. Lee, Claudia Vellozzi, Kiyotaka Watanabe, Lillian Lou, Martin Kulldorff, Eric Weintraub, Robert M. Hoekstra, Steven J. Jacobsen, Annie D. Fine and Elizabeth R. Daly. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología 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.

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