Tonja M. Kyle

674 total citations
8 papers, 256 citations indexed

About

Tonja M. Kyle is a scholar working on Sociology and Political Science, General Health Professions and Physiology. According to data from OpenAlex, Tonja M. Kyle has authored 8 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sociology and Political Science, 3 papers in General Health Professions and 3 papers in Physiology. Recurrent topics in Tonja M. Kyle's work include Survey Methodology and Nonresponse (7 papers), Food Security and Health in Diverse Populations (3 papers) and Smoking Behavior and Cessation (3 papers). Tonja M. Kyle is often cited by papers focused on Survey Methodology and Nonresponse (7 papers), Food Security and Health in Diverse Populations (3 papers) and Smoking Behavior and Cessation (3 papers). Tonja M. Kyle collaborates with scholars based in United States. Tonja M. Kyle's co-authors include Nancy D. Brener, Laura Kann, James G. Ross, Danice K. Eaton, Alice Roberts, Katherine H. Flint, Maxine M. Denniston, Tim McManus, Jo Anne Grunbaum and Ronaldo Iachan and has published in prestigious journals such as PLoS ONE, Computers in Human Behavior and Cancer Epidemiology Biomarkers & Prevention.

In The Last Decade

Tonja M. Kyle

8 papers receiving 245 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tonja M. Kyle United States	6	110	103	41	41	39	8	256
Ishrat Z Alam United States	6	61 0.6×	52 0.5×	41 1.0×	47 1.1×	41 1.1×	15	244
Steven Keen United Kingdom	9	52 0.5×	191 1.9×	25 0.6×	38 0.9×	17 0.4×	23	318
Joanne N. Leerlooijer Netherlands	11	64 0.6×	221 2.1×	16 0.4×	35 0.9×	27 0.7×	14	301
Mariusz Jaworski Poland	10	105 1.0×	93 0.9×	44 1.1×	42 1.0×	20 0.5×	40	359
Susana Peinado United States	9	68 0.6×	205 2.0×	33 0.8×	29 0.7×	13 0.3×	19	346
Kim Rivers United Kingdom	10	79 0.7×	163 1.6×	15 0.4×	55 1.3×	27 0.7×	23	305
P Conrad United States	6	34 0.3×	143 1.4×	34 0.8×	34 0.8×	17 0.4×	10	307
Emma Heard Australia	8	62 0.6×	85 0.8×	31 0.8×	28 0.7×	13 0.3×	24	248
James R. Chromy United States	10	85 0.8×	82 0.8×	48 1.2×	33 0.8×	23 0.6×	21	238
Mysha Wynn United States	11	61 0.6×	217 2.1×	30 0.7×	43 1.0×	14 0.4×	22	304

Countries citing papers authored by Tonja M. Kyle

Since Specialization

Citations

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

Fields of papers citing papers by Tonja M. Kyle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tonja M. Kyle. 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 Tonja M. Kyle. The network helps show where Tonja M. Kyle may publish in the future.

Co-authorship network of co-authors of Tonja M. Kyle

This figure shows the co-authorship network connecting the top 25 collaborators of Tonja M. Kyle. A scholar is included among the top collaborators of Tonja M. Kyle 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 Tonja M. Kyle. Tonja M. Kyle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Johnson, Christopher H., Linda Beer, Ronaldo Iachan, et al.. (2020). Changes to the sample design and weighting methods of a public health surveillance system to also include persons not receiving HIV medical care. PLoS ONE. 15(12). e0243351–e0243351. 4 indexed citations

Iachan, Ronaldo, Lewis E. Berman, Tonja M. Kyle, et al.. (2019). Weighting Nonprobability and Probability Sample Surveys in Describing Cancer Catchment Areas. Cancer Epidemiology Biomarkers & Prevention. 28(3). 471–477. 13 indexed citations

Iachan, Ronaldo, Christopher H. Johnson, Tonja M. Kyle, et al.. (2016). Design and Weighting Methods for a Nationally Representative Sample of HIV-infected Adults Receiving Medical Care in the United States-Medical Monitoring Project. The Open AIDS Journal. 10(1). 164–181. 26 indexed citations

Eaton, Danice K., Nancy D. Brener, Laura Kann, et al.. (2011). Computer Availability and Principals' Perceptions of Online Surveys*. Journal of School Health. 81(7). 365–373. 4 indexed citations

Denniston, Maxine M., Nancy D. Brener, Laura Kann, et al.. (2010). Comparison of paper-and-pencil versus Web administration of the Youth Risk Behavior Survey (YRBS): Participation, data quality, and perceived privacy and anonymity. Computers in Human Behavior. 26(5). 1054–1060. 50 indexed citations

Eaton, Danice K., Nancy D. Brener, Laura Kann, et al.. (2010). Comparison of Paper-and-Pencil Versus Web Administration of the Youth Risk Behavior Survey (YRBS): Risk Behavior Prevalence Estimates. Evaluation Review. 34(2). 137–153. 58 indexed citations

Kyle, Tonja M., Nancy D. Brener, Laura Kann, et al.. (2007). Methods: School Health Policies and Programs Study 2006. Journal of School Health. 77(8). 398–407. 34 indexed citations

Brener, Nancy D., Danice K. Eaton, Laura Kann, et al.. (2006). The Association of Survey Setting and Mode with Self-Reported Health Risk Behaviors among High School Students. Public Opinion Quarterly. 70(3). 354–374. 67 indexed citations

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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