Christopher Runyon

1.2k total citations · 1 hit paper
14 papers, 753 citations indexed

About

Christopher Runyon is a scholar working on Education, Safety Research and Social Psychology. According to data from OpenAlex, Christopher Runyon has authored 14 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Education, 4 papers in Safety Research and 3 papers in Social Psychology. Recurrent topics in Christopher Runyon's work include Career Development and Diversity (4 papers), Psychometric Methodologies and Testing (3 papers) and Innovations in Medical Education (2 papers). Christopher Runyon is often cited by papers focused on Career Development and Diversity (4 papers), Psychometric Methodologies and Testing (3 papers) and Innovations in Medical Education (2 papers). Christopher Runyon collaborates with scholars based in United States and Sweden. Christopher Runyon's co-authors include Eva Knekta, Sarah L. Eddy, Erin L. Dolan, Lisa A. Corwin, William H. Robinson, Melissa L. Aikens, Eman Ghanem, Greg Clark, Stacia E. Rodenbusch and Stuart Reichler and has published in prestigious journals such as Academic Medicine, Behavior Research Methods and Medical Teacher.

In The Last Decade

Christopher Runyon

11 papers receiving 727 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

One Size Doesn’t Fit All: Using Factor Analysis to Gather Validity Evidence When Using Surveys in Your Research

2019 366 citations Eva Knekta, Christopher Runyon et al. CBE—Life Sciences Education profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher Runyon United States	8	304	225	131	90	82	14	753
Omolola A. Adedokun United States	13	360 1.2×	210 0.9×	107 0.8×	92 1.0×	98 1.2×	36	714
Wilella Burgess United States	12	324 1.1×	209 0.9×	104 0.8×	93 1.0×	82 1.0×	27	657
Briana E. Timmerman United States	13	438 1.4×	214 1.0×	70 0.5×	99 1.1×	170 2.1×	21	768
Greg W. Welch United States	11	305 1.0×	153 0.7×	74 0.6×	123 1.4×	38 0.5×	18	653
Eva Knekta Sweden	9	205 0.7×	83 0.4×	124 0.9×	77 0.9×	52 0.6×	15	586
Shima Salehi United States	15	456 1.5×	174 0.8×	104 0.8×	184 2.0×	25 0.3×	49	846
Annie Feng United States	15	295 1.0×	68 0.3×	92 0.7×	91 1.0×	94 1.1×	24	762
James McCullough United States	13	498 1.6×	584 2.6×	190 1.5×	67 0.7×	154 1.9×	27	1.4k
Igor Chirikov Russia	14	328 1.1×	68 0.3×	82 0.6×	60 0.7×	88 1.1×	27	714

Countries citing papers authored by Christopher Runyon

Since Specialization

Citations

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

Fields of papers citing papers by Christopher Runyon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Runyon

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

All Works

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14 of 14 papers shown

Runyon, Christopher. (2025). Using large language models (LLMs) to apply analytic rubrics to score post-encounter notes. Medical Teacher. 47(11). 1772–1780.

Runyon, Christopher, et al.. (2024). SHARP (SHort Answer, Rationale Provision): A New Item Format to Assess Clinical Reasoning. Academic Medicine. 99(9). 976–980. 1 indexed citations

Runyon, Christopher, Polina Harik, & Michael Barone. (2022). “Cephalgia” or “migraine”? Solving the headache of assessing clinical reasoning using natural language processing. Diagnosis. 10(1). 54–60. 1 indexed citations

Runyon, Christopher, Miguel Paniagua, & Liselotte N. Dyrbye. (2022). Exploring the Validity Based on Internal Structure of the Oldenburg Burnout Inventory – Medical Student (OLBI-MS). Teaching and Learning in Medicine. 35(1). 37–51. 3 indexed citations

Xue, Kang, et al.. (2020). Predicting the Difficulty and Response Time of Multiple Choice Questions Using Transfer Learning. 193–197. 18 indexed citations

Knekta, Eva, Christopher Runyon, & Sarah L. Eddy. (2019). One Size Doesn’t Fit All: Using Factor Analysis to Gather Validity Evidence When Using Surveys in Your Research. CBE—Life Sciences Education. 18(1). rm1–rm1. 366 indexed citations breakdown →

Stafford, Rose E, Christopher Runyon, Jodi M. Casabianca, & Barbara G. Dodd. (2018). Comparing computer adaptive testing stopping rules under the generalized partial-credit model. Behavior Research Methods. 51(3). 1305–1320. 8 indexed citations

Corwin, Lisa A., Christopher Runyon, Eman Ghanem, et al.. (2018). Effects of Discovery, Iteration, and Collaboration in Laboratory Courses on Undergraduates’ Research Career Intentions Fully Mediated by Student Ownership. CBE—Life Sciences Education. 17(2). ar20–ar20. 118 indexed citations

Wachsmuth, Lucas P., Christopher Runyon, John M. Drake, & Erin L. Dolan. (2017). Do Biology Students Really Hate Math? Empirical Insights into Undergraduate Life Science Majors’ Emotions about Mathematics. CBE—Life Sciences Education. 16(3). ar49–ar49. 24 indexed citations

10.

Aikens, Melissa L., Melissa M. Robertson, Mara Evans, et al.. (2017). Race and Gender Differences in Undergraduate Research Mentoring Structures and Research Outcomes. CBE—Life Sciences Education. 16(2). ar34–ar34. 82 indexed citations

11.

Runyon, Christopher, et al.. (2017). The Math–Biology Values Instrument: Development of a Tool to Measure Life Science Majors’ Task Values of Using Math in the Context of Biology. CBE—Life Sciences Education. 16(3). ar45–ar45. 22 indexed citations

12.

Stafford, Rose E, Christopher Runyon, Jodi M. Casabianca, & Barbara G. Dodd. (2017). Comparing Imputation Methods for Trait Estimation Using the Rating Scale Model.. PubMed. 18(1). 12–27. 1 indexed citations

13.

Corwin, Lisa A., Christopher Runyon, William H. Robinson, & Erin L. Dolan. (2015). The Laboratory Course Assessment Survey: A Tool to Measure Three Dimensions of Research-Course Design. CBE—Life Sciences Education. 14(4). ar37–ar37. 103 indexed citations

14.

Pustejovsky, James E. & Christopher Runyon. (2014). Alternating Renewal Process Models for Behavioral Observation: Simulation Methods, Software, and Validity Illustrations. Behavioral Disorders. 39(4). 211–227. 6 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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