Donald E. Stull

2.4k total citations
72 papers, 1.8k citations indexed

About

Donald E. Stull is a scholar working on Rheumatology, Sociology and Political Science and Physiology. According to data from OpenAlex, Donald E. Stull has authored 72 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Rheumatology, 11 papers in Sociology and Political Science and 10 papers in Physiology. Recurrent topics in Donald E. Stull's work include Urticaria and Related Conditions (13 papers), Autoimmune Bullous Skin Diseases (8 papers) and Intergenerational Family Dynamics and Caregiving (8 papers). Donald E. Stull is often cited by papers focused on Urticaria and Related Conditions (13 papers), Autoimmune Bullous Skin Diseases (8 papers) and Intergenerational Family Dynamics and Caregiving (8 papers). Donald E. Stull collaborates with scholars based in United States, United Kingdom and Switzerland. Donald E. Stull's co-authors include Nancy Kline Leidy, Olivier Chassany, Bhash Parasuraman, Kyle Kercher, Karl Kosloski, Edgar F. Borgatta, Rhonda J. V. Montgomery, Charles T. Hill, Charles M. Barresi and Daniel J. Van Dussen and has published in prestigious journals such as Journal of Personality and Social Psychology, Journal of Clinical Oncology and Contemporary Sociology A Journal of Reviews.

In The Last Decade

Donald E. Stull

71 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donald E. Stull United States 25 343 338 275 270 228 72 1.8k
Alan L. Shields United States 23 145 0.4× 355 1.1× 170 0.6× 352 1.3× 172 0.8× 72 2.5k
Mariam Vahdaninia Iran 23 304 0.9× 667 2.0× 380 1.4× 580 2.1× 202 0.9× 38 3.3k
Elizabeth Molsen United States 8 183 0.5× 346 1.0× 262 1.0× 180 0.7× 219 1.0× 8 2.6k
Steven Hass United States 24 83 0.2× 461 1.4× 345 1.3× 404 1.5× 131 0.6× 65 3.1k
Lis Cordingley United Kingdom 31 186 0.5× 719 2.1× 475 1.7× 424 1.6× 137 0.6× 106 2.5k
Lucy Busija Australia 28 128 0.4× 523 1.5× 297 1.1× 179 0.7× 140 0.6× 100 2.7k
Donald M. Bushnell United States 28 110 0.3× 466 1.4× 315 1.1× 348 1.3× 190 0.8× 81 3.2k
Jane M. Armer United States 40 258 0.8× 315 0.9× 104 0.4× 265 1.0× 657 2.9× 170 5.9k
Christine Bundy United Kingdom 35 103 0.3× 847 2.5× 454 1.7× 362 1.3× 251 1.1× 153 4.0k
Sun Ju Chang South Korea 21 160 0.5× 518 1.5× 76 0.3× 151 0.6× 127 0.6× 103 1.7k

Countries citing papers authored by Donald E. Stull

Since Specialization
Citations

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

Fields of papers citing papers by Donald E. Stull

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donald E. Stull. 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 Donald E. Stull. The network helps show where Donald E. Stull may publish in the future.

Co-authorship network of co-authors of Donald E. Stull

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

All Works

20 of 20 papers shown
1.
Farber, Robert, et al.. (2024). The Tardive Dyskinesia Impact Scale (TDIS), a novel patient-reported outcome measure in tardive dyskinesia: development and psychometric validation. Journal of Patient-Reported Outcomes. 8(1). 2–2. 2 indexed citations
2.
Williams, Valerie, et al.. (2019). Minimal clinically important differences of the expanded hammersmith functional motor scale in later-onset spinal muscular atrophy: Results from the Phase 3 CHERISH trial. Journal of Managed Care & Specialty Pharmacy. 25. 2 indexed citations
3.
Stull, Donald E., Doreen McBride, Hao Tian, et al.. (2017). Analysis of disease activity categories in chronic spontaneous/idiopathic urticaria. British Journal of Dermatology. 177(4). 1093–1101. 54 indexed citations
4.
Nooten, Floortje van, et al.. (2017). A (Latent) Class of Their Own: Response Patterns in Trading Off Quantity and Quality of Life in Time Trade-Off Exercises. Value in Health. 20(10). 1403–1410. 2 indexed citations
5.
Graham, James E., Doreen McBride, Donald E. Stull, et al.. (2016). Cost Utility of Omalizumab Compared with Standard of Care for the Treatment of Chronic Spontaneous Urticaria. PharmacoEconomics. 34(8). 815–827. 25 indexed citations
6.
Giménez‐Arnau, Ana M., Sheldon L. Spector, Evgeniya Antonova, et al.. (2016). Improvement of sleep in patients with chronic idiopathic/spontaneous urticaria treated with omalizumab: results of three randomized, double-blind, placebo-controlled studies. Clinical and Translational Allergy. 6(1). 32–32. 25 indexed citations
7.
Stull, Donald E., et al.. (2014). Patient preferences for health: the value patients place on differential severity of chronic spontaneous (Idiopathic) urticaria (CSU/CIU). Allergy. 2 indexed citations
8.
Stull, Donald E., et al.. (2013). Validation of the SF-36 in patients with endometriosis. Quality of Life Research. 23(1). 103–117. 55 indexed citations
9.
10.
Stull, Donald E., et al.. (2012). Identifying Differential Responders and Their Characteristics in Clinical Trials: Innovative Methods for Analyzing Longitudinal Data. Value in Health. 16(1). 164–176. 8 indexed citations
11.
Wiklund, Ingela, et al.. (2012). The Hunter Syndrome-Functional Outcomes for Clinical Understanding Scale (HS-FOCUS) Questionnaire: evaluation of measurement properties. Quality of Life Research. 22(4). 875–884. 13 indexed citations
12.
13.
Revicki, Dennis A., Donald E. Stull, Margaret Vernon, et al.. (2011). Assessing the effect of darbepoetin alfa on patient-reported fatigue in chemotherapy-induced anemia in four randomized, placebo-controlled clinical trials. Quality of Life Research. 21(2). 311–321. 6 indexed citations
14.
Stull, Donald E., et al.. (2011). Application of latent growth and growth mixture modeling to identify and characterize differential responders to treatment for COPD. Contemporary Clinical Trials. 32(6). 818–828. 20 indexed citations
15.
Stull, Donald E., et al.. (2011). Development of a Frequent Heartburn Index. Quality of Life Research. 20(7). 1023–1034. 3 indexed citations
16.
Stull, Donald E., Margaret Vernon, Jason C. Legg, et al.. (2010). Use of latent growth curve models for assessing the effects of darbepoetin alfa on hemoglobin and fatigue. Contemporary Clinical Trials. 31(2). 172–179. 6 indexed citations
17.
Stull, Donald E., et al.. (2003). The Utility of Multidimensional Assessments of Physical Health in Patient Care. AACN Clinical Issues Advanced Practice in Acute & Critical Care. 14(2). 251–260. 1 indexed citations
18.
Miller, Baila, et al.. (2001). Social Support and Caregiver Distress. RePEc: Research Papers in Economics. 56(4). 249–256. 9 indexed citations
19.
Stull, Donald E.. (1996). The Multidimensional Caregiver Strain Index (MCSI): Its measurement and structure.. 43 indexed citations
20.
Barresi, Charles M. & Donald E. Stull. (1993). Ethnic elderly and long-term care. Springer eBooks. 55 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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