Julianne Gee

8.5k citations
74 papers · 4.6k indexed · 6 hit papers · h-index 32
Topics
Vaccine Coverage and Hesitancy (39 papers)SARS-CoV-2 and COVID-19 Research (32 papers)Cervical Cancer and HPV Research (17 papers)
Partner nations
United StatesUgandaKenya

In The Last Decade

Julianne Gee

73 papers receiving 4.4k citations

Hit Papers

Effects of the COVID-19 Pandemic on Routine...201420262018202220202014202120212021100200300400500

Peers

Julianne Gee
Comparison fields: 5 of 130
  • Infectious Diseases 1.9k
  • Health 1.9k
  • Epidemiology 1.7k
  • Surgery 865
  • Obstetrics and Gynecology 452
Replace Tom T. Shimabukuro with:
Tom T. Shimabukuro United States
Matthew F. Daley United States
Allison L. Naleway United States
Elyse O. Kharbanda United States
James G. Donahue United States
Julia Stowe United Kingdom
Claudia Vellozzi United States
Sara E. Oliver United States
Eli S. Rosenberg United States
H. Keipp Talbot United States
Julianne Gee relative to Tom T. Shimabukuro United States Tom T. Shimabukuro's profile →
Citations per field
00.5×1.5×
Tom T. Shimabukuro · 1×
Citations per year

Countries citing papers authored by Julianne Gee

Since Specialization
Citations

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

Fields of papers citing papers by Julianne Gee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julianne Gee

This figure shows the co-authorship network connecting the top 25 collaborators of Julianne Gee. A scholar is included among the top collaborators of Julianne Gee 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 Julianne Gee. Julianne Gee 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 3
2 0
3 8
4 23
5 41
6 2
7 1
8 4
9 8
10 7
11 10
12 11
13 18
14 24
15
Human papillomavirus vaccination coverage among adolescents, 2007-2013, and postlicensure vaccine safety monitoring, 2006-2014--United States.breakdown →
447
16 17
17 21
18 22
19 170
20 12

About Julianne Gee

Julianne Gee is a scholar working on Health, Infectious Diseases and Toxicology, having authored 74 papers that have together received 4.6k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (39 papers), SARS-CoV-2 and COVID-19 Research (32 papers) and Cervical Cancer and HPV Research (17 papers). The work is most often cited by research in Health (1.9k citations), Infectious Diseases (1.9k citations) and Obstetrics and Gynecology (452 citations). Julianne Gee has collaborated with scholars based in United States, Uganda and Kenya. Frequent co-authors include Tanya R. Myers, Lauri E. Markowitz, Tom T. Shimabukuro, John R. Su, Paige Marquez, Eric Weintraub, David K. Shay, Shannon Stokley, Allison L. Naleway and James Baggs. Their work appears in journals such as JAMA, PEDIATRICS and Clinical 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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