Nathan E. Dodds

3.4k total citations · 3 hit papers
19 papers, 2.4k citations indexed

About

Nathan E. Dodds is a scholar working on Epidemiology, General Health Professions and Clinical Psychology. According to data from OpenAlex, Nathan E. Dodds has authored 19 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in General Health Professions and 5 papers in Clinical Psychology. Recurrent topics in Nathan E. Dodds's work include Substance Abuse Treatment and Outcomes (5 papers), Musculoskeletal pain and rehabilitation (4 papers) and Health Policy Implementation Science (3 papers). Nathan E. Dodds is often cited by papers focused on Substance Abuse Treatment and Outcomes (5 papers), Musculoskeletal pain and rehabilitation (4 papers) and Health Policy Implementation Science (3 papers). Nathan E. Dodds collaborates with scholars based in United States and Germany. Nathan E. Dodds's co-authors include Kelly L. Johnston, Paul A. Pilkonis, Angela M. Stover, Daniel J. Buysse, Anne Germain, Douglas E. Moul, Lan Yu, Lan Yu, Suzanne Malia Lawrence and Benjamin D. Schalet and has published in prestigious journals such as Journal of Clinical Epidemiology, SLEEP and Medical Care.

In The Last Decade

Nathan E. Dodds

18 papers receiving 2.3k citations

Hit Papers

Development of Short Forms From the PROMIS™ Sleep Disturb... 2010 2026 2015 2020 2012 2010 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan E. Dodds United States 11 659 508 358 351 337 19 2.4k
Lan Yu United States 15 507 0.8× 423 0.8× 285 0.8× 217 0.6× 221 0.7× 24 1.9k
Benjamin D. Schalet United States 24 440 0.7× 810 1.6× 398 1.1× 453 1.3× 169 0.5× 61 3.3k
Gretchen A. Brenes United States 28 697 1.1× 736 1.4× 513 1.4× 558 1.6× 223 0.7× 70 2.9k
Faith Matcham United Kingdom 26 328 0.5× 419 0.8× 382 1.1× 574 1.6× 127 0.4× 89 3.3k
Doerte U. Junghaenel United States 24 362 0.5× 317 0.6× 312 0.9× 567 1.6× 266 0.8× 72 2.3k
Aleksandra Zgierska United States 29 601 0.9× 991 2.0× 520 1.5× 124 0.4× 293 0.9× 121 3.5k
Margot W. M. de Waal Netherlands 29 328 0.5× 528 1.0× 551 1.5× 997 2.8× 260 0.8× 88 3.1k
İmke Janssen United States 35 574 0.9× 278 0.5× 311 0.9× 403 1.1× 382 1.1× 125 4.2k
Phillip J. Tully Australia 36 518 0.8× 522 1.0× 402 1.1× 399 1.1× 211 0.6× 146 4.1k
Jerzy Leppert Sweden 35 270 0.4× 963 1.9× 405 1.1× 365 1.0× 193 0.6× 111 3.5k

Countries citing papers authored by Nathan E. Dodds

Since Specialization
Citations

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

Fields of papers citing papers by Nathan E. Dodds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan E. Dodds

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

All Works

19 of 19 papers shown
1.
Greco, Carol M., Nathan E. Dodds, William Anderst, et al.. (2025). Patient‐Reported Outcomes Among an Observational Cohort of Individuals With Chronic Low Back Pain. JOR Spine. 8(3). e70097–e70097.
2.
Elwy, A. Rani, Nathan E. Dodds, Rebecca DeSensi, et al.. (2023). Costs of Implementing Electronic Context Factor Assessments and Patient-reported Outcomes in Pain Clinic Settings. Medical Care. 61(10). 699–707. 1 indexed citations
3.
Elwy, A. Rani, Ajay D. Wasan, Andrea G. Gillman, et al.. (2019). Using formative evaluation methods to improve clinical implementation efforts: Description and an example. Psychiatry Research. 283. 112532–112532. 70 indexed citations
4.
Pilkonis, Paul A., Suzanne Malia Lawrence, Kelly L. Johnston, & Nathan E. Dodds. (2019). Screening for Personality Disorders: A Three-Item Screener From the Inventory of Interpersonal Problems (IIP-3). Journal of Personality Disorders. 33(6). 832–845. 1 indexed citations
5.
Slutsky, Jean R., Carol M. Greco, Nathan E. Dodds, et al.. (2017). (355) Measuring clarity, relevance, and usefulness of HEAL and PROMIS measures in pain treatment through interviews with patients and their healthcare providers. Journal of Pain. 18(4). S63–S63. 1 indexed citations
7.
Lynch, Andrew D., Nathan E. Dodds, Lan Yu, Paul A. Pilkonis, & James J. Irrgang. (2016). Individuals with knee impairments identify items in need of clarification in the Patient Reported Outcomes Measurement Information System (PROMIS®) pain interference and physical function item banks – a qualitative study. Health and Quality of Life Outcomes. 14(1). 77–77. 9 indexed citations
8.
Pilkonis, Paul A., Lan Yu, Nathan E. Dodds, et al.. (2016). Validation of the alcohol use item banks from the Patient-Reported Outcomes Measurement Information System (PROMIS®). Drug and Alcohol Dependence. 161. 316–322. 33 indexed citations
9.
Schalet, Benjamin D., Paul A. Pilkonis, Lan Yu, et al.. (2016). Clinical validity of PROMIS Depression, Anxiety, and Anger across diverse clinical samples. Journal of Clinical Epidemiology. 73. 119–127. 358 indexed citations breakdown →
10.
Pilkonis, Paul A., Lan Yu, Nathan E. Dodds, et al.. (2016). An Item Bank for Abuse of Prescription Pain Medication from the Patient-Reported Outcomes Measurement Information System (PROMIS®). Pain Medicine. 18(8). 1516–1527. 16 indexed citations
11.
Johnston, Kelly L., Suzanne Malia Lawrence, Nathan E. Dodds, et al.. (2015). Evaluating PROMIS® instruments and methods for patient-centered outcomes research: Patient and provider voices in a substance use treatment setting. Quality of Life Research. 25(3). 615–624. 27 indexed citations
12.
Greco, Carol M., Lan Yu, Kelly L. Johnston, et al.. (2015). Measuring nonspecific factors in treatment: item banks that assess the healthcare experience and attitudes from the patient’s perspective. Quality of Life Research. 25(7). 1625–1634. 38 indexed citations
13.
Pilkonis, Paul A., Lan Yu, Nathan E. Dodds, et al.. (2015). Item banks for substance use from the Patient-Reported Outcomes Measurement Information System (PROMIS ® ): Severity of use and positive appeal of use. Drug and Alcohol Dependence. 156. 184–192. 32 indexed citations
14.
Greco, Carol M., Nathan E. Dodds, Kelly L. Johnston, et al.. (2014). Measuring the Healing Context in CAM: Progress on Developing Patient-Reported Measures of Nonspecific Contributors to Treatment Outcome. The Journal of Alternative and Complementary Medicine. 20(5). A13–A14. 2 indexed citations
15.
Kupfer, David J., et al.. (2014). Using Peer Review to Improve Research and Promote Collaboration. Academic Psychiatry. 38(1). 5–10. 5 indexed citations
16.
Pilkonis, Paul A., et al.. (2014). Validation of the depression item bank from the Patient-Reported Outcomes Measurement Information System (PROMIS®) in a three-month observational study. Journal of Psychiatric Research. 56. 112–119. 300 indexed citations
17.
Pilkonis, Paul A., Lan Yu, Jason B. Colditz, et al.. (2012). Item banks for alcohol use from the Patient-Reported Outcomes Measurement Information System (PROMIS®): Use, consequences, and expectancies. Drug and Alcohol Dependence. 130(1-3). 167–177. 63 indexed citations
18.
Yu, Lan, Daniel J. Buysse, Anne Germain, et al.. (2012). Development of Short Forms From the PROMIS™ Sleep Disturbance and Sleep-Related Impairment Item Banks. Behavioral Sleep Medicine. 10(1). 6–24. 832 indexed citations breakdown →
19.
Buysse, Daniel J., Lan Yu, Douglas E. Moul, et al.. (2010). Development and Validation of Patient-Reported Outcome Measures for Sleep Disturbance and Sleep-Related Impairments. SLEEP. 33(6). 781–792. 586 indexed citations breakdown →

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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