Penny Kyler

567 total citations
9 papers, 455 citations indexed

About

Penny Kyler is a scholar working on Genetics, General Health Professions and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Penny Kyler has authored 9 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 4 papers in General Health Professions and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Penny Kyler's work include BRCA gene mutations in cancer (5 papers), Genomics and Rare Diseases (2 papers) and Ethics in Clinical Research (2 papers). Penny Kyler is often cited by papers focused on BRCA gene mutations in cancer (5 papers), Genomics and Rare Diseases (2 papers) and Ethics in Clinical Research (2 papers). Penny Kyler collaborates with scholars based in United States, China and Canada. Penny Kyler's co-authors include Michele A. Lloyd-Puryear, Nancy Green, Jonathan N. Tobin, Connie L. Arnold, Terry C. Davis, Sharon G. Humiston, Joseph A. Bocchini, Pat F. Bass, Estela M. Kennen and Sharon F. Terry and has published in prestigious journals such as PEDIATRICS, Genetics in Medicine and American Journal of Occupational Therapy.

In The Last Decade

Penny Kyler

9 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Penny Kyler United States	8	243	141	130	97	86	9	455
Myra I. Roche United States	18	654 2.7×	208 1.5×	252 1.9×	73 0.8×	116 1.3×	41	890
Krista Redlinger‐Grosse United States	11	110 0.5×	118 0.8×	47 0.4×	39 0.4×	41 0.5×	26	320
Jean E. McEwen United States	8	199 0.8×	62 0.4×	171 1.3×	12 0.1×	36 0.4×	11	362
Rachel Horton United Kingdom	10	186 0.8×	57 0.4×	104 0.8×	9 0.1×	26 0.3×	31	440
Elizabeth Gettig United States	14	260 1.1×	144 1.0×	97 0.7×	6 0.1×	83 1.0×	28	546
Katie Stoll United States	10	274 1.1×	276 2.0×	76 0.6×	8 0.1×	37 0.4×	20	620
Deborah Maiese United States	6	161 0.7×	59 0.4×	89 0.7×	6 0.1×	33 0.4×	17	309
Julie A. Hayward United Kingdom	7	172 0.7×	63 0.4×	108 0.8×	5 0.1×	69 0.8×	10	341
Davit Chokoshvili Belgium	10	134 0.6×	202 1.4×	50 0.4×	6 0.1×	30 0.3×	16	458
Dale Halsey Lea United States	14	349 1.4×	107 0.8×	114 0.9×	3 0.0×	96 1.1×	46	546

Countries citing papers authored by Penny Kyler

Since Specialization

Citations

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

Fields of papers citing papers by Penny Kyler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Penny Kyler

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

All Works

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9 of 9 papers shown

Edelman, Emily, Joseph D. McInerney, James O’Leary, et al.. (2013). Personalizing Prenatal Care Using Family Health History: Identifying a Panel of Conditions for a Novel Electronic Genetic Screening Tool. Personalized Medicine. 10(3). 307–318. 4 indexed citations

Schmidt, Johanna, Saltanat Childress, Natasha Bonhomme, et al.. (2012). The impact of false-positive newborn screening results on families: a qualitative study. Genetics in Medicine. 14(1). 76–80. 75 indexed citations

Kemper, Alex R., Tracy L. Trotter, Michele A. Lloyd-Puryear, et al.. (2010). A blueprint for maternal and child health primary care physician education in medical genetics and genomic medicine: Recommendations of the United States Secretary for Health and Human Services Advisory Committee on Heritable Disorders in Newborns and Children. Genetics in Medicine. 12(2). 77–80. 37 indexed citations

Fryer‐Edwards, Kelly, et al.. (2009). Long-term outcomes of the "Genetics in Primary Care" faculty development initiative.. PubMed. 41(4). 266–70. 17 indexed citations

Trinidad, Susan Brown, et al.. (2008). Educational Needs in Genetic Medicine: Primary Care Perspectives. Public Health Genomics. 11(3). 160–165. 33 indexed citations

Shaw, Kenna, Joann A. Boughman, Penny Kyler, et al.. (2008). Healthy Choices through Family History: A Community Approach to Family History Awareness. Public Health Genomics. 11(6). 343–351. 27 indexed citations

Davis, Terry C., Sharon G. Humiston, Connie L. Arnold, et al.. (2006). Recommendations for Effective Newborn Screening Communication: Results of Focus Groups With Parents, Providers, and Experts. PEDIATRICS. 117(Supplement_3). S326–S340. 122 indexed citations

Green, Nancy, et al.. (2005). Attitudes about Genetics in Underserved, Culturally Diverse Populations. Public Health Genomics. 8(3). 161–172. 133 indexed citations

Kanny, Elizabeth M. & Penny Kyler. (1999). Are Faculty Prepared To Address Ethical Issues in Education?. American Journal of Occupational Therapy. 53(1). 72–74. 7 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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