Paula W. Yoon

8.2k citations
68 papers · 5.9k indexed · 2 hit papers · h-index 41
Topics
Genetic Associations and Epidemiology (12 papers)BRCA gene mutations in cancer (11 papers)Public Health Policies and Education (9 papers)

In The Last Decade

Paula W. Yoon

67 papers receiving 5.6k citations

Hit Papers

Out-of-hospital cardiac arrest surveillance --- Cardiac A...201120262016202120112017100200300400500

Peers

Paula W. Yoon
Comparison fields: 5 of 169
  • Genetics 1.5k
  • Public Health, Environmental and Occupational Health 1.3k
  • General Health Professions 1.0k
  • Epidemiology 764
  • Cardiology and Cardiovascular Medicine 701
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Paula W. Yoon relative to Ellen P. McCarthy United States Ellen P. McCarthy's profile →
Citations per field
00.5×1.5×2.5×
Ellen P. McCarthy · 1×
Citations per year

Countries citing papers authored by Paula W. Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Paula W. Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paula W. Yoon. 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 Paula W. Yoon. The network helps show where Paula W. Yoon may publish in the future.

Co-authorship network of co-authors of Paula W. Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Paula W. Yoon. A scholar is included among the top collaborators of Paula W. Yoon 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 Paula W. Yoon. Paula W. Yoon 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 8
2
Conclusions and future directions for periodic reporting on the use of adult clinical preventive services of public health priority--United States.
5
3 111
4
Prevalence of abnormal lipid levels among youths - United States, 1999-2006.
127
5 10
6
Paul Coverdell National Acute Stroke Registry Surveillance - four states, 2005-2007.
129
7 37
8 92
9 12
10 13
11 63
12 107
13 52
14 51
15 127
16 49
17
Intent to become pregnant as a predictor of exposures during pregnancy: is there a relation?
62
18 48
19 285
20 39

About Paula W. Yoon

Paula W. Yoon is a scholar working on Genetics, General Health Professions and Health, having authored 68 papers that have together received 5.9k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (12 papers), BRCA gene mutations in cancer (11 papers) and Public Health Policies and Education (9 papers). The work is most often cited by research in Emergency Medicine (607 citations), Genetics (1.5k citations) and Public Health, Environmental and Occupational Health (1.3k citations). Paula W. Yoon has collaborated with scholars based in United States, Kenya and United Kingdom. Frequent co-authors include Muin J. Khoury, Elena V. Kuklina, Maren T. Scheuner, Marta Gwinn, Ashleigh L. May, Rodolfo Valdéz, Cynthia A. Moore, Nicole F. Dowling, Linda Bradley and Robert Merritt. Their work appears in journals such as Diabetes Care, PEDIATRICS and Diabetes.

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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