Hally Quinn

824 total citations
7 papers, 609 citations indexed

About

Hally Quinn is a scholar working on Clinical Psychology, Pediatrics, Perinatology and Child Health and Speech and Hearing. According to data from OpenAlex, Hally Quinn has authored 7 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Clinical Psychology, 4 papers in Pediatrics, Perinatology and Child Health and 2 papers in Speech and Hearing. Recurrent topics in Hally Quinn's work include Child and Adolescent Psychosocial and Emotional Development (5 papers), Childhood Cancer Survivors' Quality of Life (4 papers) and Adolescent and Pediatric Healthcare (2 papers). Hally Quinn is often cited by papers focused on Child and Adolescent Psychosocial and Emotional Development (5 papers), Childhood Cancer Survivors' Quality of Life (4 papers) and Adolescent and Pediatric Healthcare (2 papers). Hally Quinn collaborates with scholars based in United States. Hally Quinn's co-authors include Brooke E. Magnus, Darren A. DeWalt, Heather E. Gross, David Thissen, James W. Varni, Yang Liu, I‐Chan Huang, Brian D. Stucky, Dagmar Amtmann and Jin‐Shei Lai and has published in prestigious journals such as Quality of Life Research, Health and Quality of Life Outcomes and Carolina Digital Repository (University of North Carolina at Chapel Hill).

In The Last Decade

Hally Quinn

7 papers receiving 595 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hally Quinn United States	7	255	144	82	76	64	7	609
Jin Shei Lai United States	9	214 0.8×	163 1.1×	78 1.0×	66 0.9×	38 0.6×	12	801
Amos Hundert Canada	13	318 1.2×	60 0.4×	68 0.8×	50 0.7×	37 0.6×	29	672
Brandon Becker United States	16	227 0.9×	424 2.9×	47 0.6×	113 1.5×	53 0.8×	41	982
Dawn Magnusson United States	13	88 0.3×	128 0.9×	28 0.3×	37 0.5×	44 0.7×	27	566
Rachelle R. Ramsey United States	20	368 1.4×	181 1.3×	58 0.7×	209 2.8×	32 0.5×	54	1.0k
Yi‐Chien Chiang Taiwan	17	346 1.4×	132 0.9×	66 0.8×	45 0.6×	20 0.3×	36	842
Raphaële R. L. van Litsenburg Netherlands	17	508 2.0×	123 0.9×	71 0.9×	86 1.1×	40 0.6×	58	842
Friedrich Balck Germany	15	136 0.5×	170 1.2×	164 2.0×	17 0.2×	21 0.3×	67	792
Jerry Dash United States	7	371 1.5×	152 1.1×	68 0.8×	138 1.8×	41 0.6×	12	641
Vassiliki Siafaka Greece	14	52 0.2×	123 0.9×	27 0.3×	51 0.7×	48 0.8×	48	521

Countries citing papers authored by Hally Quinn

Since Specialization

Citations

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

Fields of papers citing papers by Hally Quinn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hally Quinn

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

All Works

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7 of 7 papers shown

Quinn, Hally. (2019). Bifactor Models, Explained Common Variance (ECV), and the Usefulness of Scores from Unidimensional Item Response Theory Analyses. Carolina Digital Repository (University of North Carolina at Chapel Hill). 28 indexed citations

Magnus, Brooke E., Yang Liu, Jason He, et al.. (2016). Mode effects between computer self-administration and telephone interviewer-administration of the PROMIS® pediatric measures, self- and proxy report. Quality of Life Research. 25(7). 1655–1665. 20 indexed citations

Reeve, Bryce B., David Thissen, Darren A. DeWalt, et al.. (2015). Linkage between the PROMIS® pediatric and adult emotional distress measures. Quality of Life Research. 25(4). 823–833. 36 indexed citations

Thissen, David, Yang Liu, Brooke E. Magnus, et al.. (2015). Estimating minimally important difference (MID) in PROMIS pediatric measures using the scale-judgment method. Quality of Life Research. 25(1). 13–23. 148 indexed citations

Quinn, Hally, David Thissen, Yang Liu, et al.. (2014). Using item response theory to enrich and expand the PROMIS® pediatric self report banks. Health and Quality of Life Outcomes. 12(1). 160–160. 116 indexed citations

Varni, James W., Brooke E. Magnus, Brian D. Stucky, et al.. (2013). Psychometric properties of the PROMIS® pediatric scales: precision, stability, and comparison of different scoring and administration options. Quality of Life Research. 23(4). 1233–1243. 203 indexed citations

Varni, James W., David Thissen, Brian D. Stucky, et al.. (2013). PROMIS® Parent Proxy Report Scales for children ages 5–7 years: an item response theory analysis of differential item functioning across age groups. Quality of Life Research. 23(1). 349–361. 58 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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