Tonya Sharp King

6.5k citations
141 papers · 5.1k · h-index 37

Impact in

Papers in

Tonya Sharp King

127 papers receiving 4.9k citations

Peers

Tonya Sharp King
Comparison fields: 5 of 164
  • Physiology 2.0k
  • Emergency Medical Services 423
  • Pulmonary and Respiratory Medicine 1.2k
  • Immunology and Allergy 180
  • Statistics, Probability and Uncertainty 173
Replace Dominic A. Fitzgerald with:
Dominic A. Fitzgerald Australia
Behnam Sadeghirad Canada
Petter Mowinckel Norway
James J. Grady United States
Julie A. B. Morris United Kingdom
Jure Manfreda Canada
Raul I. García United States
Tatiana V. Macfarlane United Kingdom
Clare S Murray United Kingdom
Jon Genuneit Germany
Tonya Sharp King relative to Dominic A. Fitzgerald Australia Dominic A. Fitzgerald's profile →
Citations per field
00.5×2×3×4.1×
Dominic A. Fitzgerald · 1×
Citations per year

Countries citing papers authored by Tonya Sharp King

Since Specialization
Citations

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

Fields of papers citing papers by Tonya Sharp King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tonya Sharp King. 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 Tonya Sharp King. The network helps show where Tonya Sharp King may publish in the future.

Co-authors

The 25 scholars most cited alongside Tonya Sharp King, 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 Tonya Sharp King Line = papers co-authored together Tonya Sharp King links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010591
2 2002530
3 2005305
4 2014224
5 2012179
6 2007160
7 2001141
8 2001129
9 2004120
10 2000115
11 2010114
12 2012111
13 201899
14 201993
15 200792
16 200181
17 200077
18 200177
19 200975
20 201774

About Tonya Sharp King

Tonya Sharp King is a scholar working on Physiology, Statistics and Probability, Statistics, Probability and Uncertainty, Sensory Systems and Surgery, having authored 141 papers that have together received 5.1k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (16 papers), Obstructive Sleep Apnea Research (7 papers), Reliability and Agreement in Measurement (6 papers), Vitamin D Research Studies (5 papers), Advanced Statistical Methods and Models (5 papers), Hearing, Cochlea, Tinnitus, Genetics (5 papers), Bullying, Victimization, and Aggression (5 papers) and Child Development and Digital Technology (5 papers). The work is most often cited by research in Physiology (2.0k citations), Emergency Medical Services (423 citations), Pulmonary and Respiratory Medicine (1.2k citations), Immunology and Allergy (180 citations) and Statistics, Probability and Uncertainty (173 citations). Tonya Sharp King has collaborated with scholars based in United States, Myanmar and Spain. Frequent co-authors include Vernon M. Chinchilli, Josep L. Carrasco, Gary G. Koch, Arthur J. Cronin, Edward O. Bixler, John C. Keifer, Matthew F. Davies, Donald H. Taylor, Thomas R. Konrad and Donald E. Pathman. Their work appears in journals such as Journal of Allergy and Clinical Immunology, Journal of Biopharmaceutical Statistics, Head & Neck, Modern Pathology and British Journal of Dermatology.

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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