Julia C. Gage

7.8k total citations · 1 hit paper
122 papers, 4.9k citations indexed

About

Julia C. Gage is a scholar working on Epidemiology, Surgery and Oncology. According to data from OpenAlex, Julia C. Gage has authored 122 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Epidemiology, 51 papers in Surgery and 45 papers in Oncology. Recurrent topics in Julia C. Gage's work include Cervical Cancer and HPV Research (111 papers), Genital Health and Disease (44 papers) and Global Cancer Incidence and Screening (36 papers). Julia C. Gage is often cited by papers focused on Cervical Cancer and HPV Research (111 papers), Genital Health and Disease (44 papers) and Global Cancer Incidence and Screening (36 papers). Julia C. Gage collaborates with scholars based in United States, United Kingdom and Spain. Julia C. Gage's co-authors include Mark Schiffman, Philip E. Castle, Nicolas Wentzensen, Walter Kinney, Thomas Lorey, Barbara Fetterman, Hormuzd A. Katki, Sholom Wacholder, Li C. Cheung and Nancy Poitras and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Julia C. Gage

121 papers receiving 4.8k citations

Hit Papers

Human Papillomavirus Testing in the Prevention of Cervica... 2011 2026 2016 2021 2011 100 200 300 400 500

Peers

Julia C. Gage
Comparison fields: 5 of 126
  • Epidemiology 4.1k
  • Surgery 1.8k
  • Oncology 1.5k
  • Molecular Biology 607
  • Microbiology 571
Replace Thomas Lorey with:
Thomas Lorey United States
Ann Moriarty United States
Levi S. Downs United States
L. Stewart Massad United States
K. Miriam Elfström Sweden
Fanghui Zhao China
Philip E. Castle United States
Warner K. Huh United States
Edward J. Wilkinson United States
Feja J. Voorhorst Netherlands
Thomas Lorey United States View profile →
Citations per field, relative to Julia C. Gage
Julia C. Gage · 1×
Citations per year, relative to Julia C. Gage
Julia C. Gage · 1×

Countries citing papers authored by Julia C. Gage

Since Specialization
Citations

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

Fields of papers citing papers by Julia C. Gage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia C. Gage. 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 Julia C. Gage. The network helps show where Julia C. Gage may publish in the future.

Co-authorship network of co-authors of Julia C. Gage

This figure shows the co-authorship network connecting the top 25 collaborators of Julia C. Gage. A scholar is included among the top collaborators of Julia C. Gage 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 Julia C. Gage. Julia C. Gage 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
# Work Indexed citations
1 0
2 1
3 44
4 11
5 21
6 31
7 25
8 13
9 30
10 1
11 23
12 20
13 40
14 15
15 6
16 20
17 52
18 20
19
Human Papillomavirus Testing in the Prevention of Cervical Cancer breakdown →
554
20 49

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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