Tracy L. Skaer

2.4k total citations
83 papers, 1.9k citations indexed

About

Tracy L. Skaer is a scholar working on Psychiatry and Mental health, Economics and Econometrics and Pharmacology. According to data from OpenAlex, Tracy L. Skaer has authored 83 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Psychiatry and Mental health, 18 papers in Economics and Econometrics and 16 papers in Pharmacology. Recurrent topics in Tracy L. Skaer's work include Health Systems, Economic Evaluations, Quality of Life (12 papers), Pharmaceutical Practices and Patient Outcomes (11 papers) and Medication Adherence and Compliance (10 papers). Tracy L. Skaer is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (12 papers), Pharmaceutical Practices and Patient Outcomes (11 papers) and Medication Adherence and Compliance (10 papers). Tracy L. Skaer collaborates with scholars based in United States, New Zealand and Canada. Tracy L. Skaer's co-authors include David A. Sclar, Linda M. Robison, Richard S. Galin, Mark P. Okamoto, Ashley Chin, Randy Nakahiro, W. Michael Dickson, C. Eugene Reeder, Mark A. Gill and Alfred Chin and has published in prestigious journals such as The American Journal of Medicine, Drugs and Physiology & Behavior.

In The Last Decade

Tracy L. Skaer

82 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tracy L. Skaer United States 25 724 326 305 277 251 83 1.9k
Dag Isacson Sweden 29 467 0.6× 358 1.1× 148 0.5× 356 1.3× 181 0.7× 64 2.3k
Wim Stalman Netherlands 28 564 0.8× 516 1.6× 253 0.8× 288 1.0× 287 1.1× 56 2.5k
Edward Kim United States 26 1.5k 2.1× 351 1.1× 537 1.8× 161 0.6× 220 0.9× 98 2.8k
Kerstin Bingefors Sweden 21 379 0.5× 249 0.8× 128 0.4× 217 0.8× 119 0.5× 39 1.4k
Robin Eastwood United States 11 1.4k 2.0× 102 0.3× 409 1.3× 123 0.4× 201 0.8× 27 2.0k
Scott Bull United States 14 794 1.1× 291 0.9× 364 1.2× 83 0.3× 247 1.0× 29 1.5k
Elizabeth Lin United States 13 656 0.9× 366 1.1× 590 1.9× 140 0.5× 794 3.2× 21 2.1k
Michela Nosè Italy 25 1.0k 1.4× 175 0.5× 1.0k 3.4× 95 0.3× 417 1.7× 56 2.3k
John S. McIntyre United States 18 671 0.9× 118 0.4× 276 0.9× 257 0.9× 188 0.7× 50 1.9k
Jonathan P. Lacro United States 21 3.3k 4.5× 368 1.1× 1.0k 3.3× 219 0.8× 560 2.2× 36 4.0k

Countries citing papers authored by Tracy L. Skaer

Since Specialization
Citations

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

Fields of papers citing papers by Tracy L. Skaer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tracy L. Skaer. 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 Tracy L. Skaer. The network helps show where Tracy L. Skaer may publish in the future.

Co-authorship network of co-authors of Tracy L. Skaer

This figure shows the co-authorship network connecting the top 25 collaborators of Tracy L. Skaer. A scholar is included among the top collaborators of Tracy L. Skaer 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 Tracy L. Skaer. Tracy L. Skaer 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.
Skaer, Tracy L.. (2016). Treatment Recommendations for Fibromyalgia. 2016(4). 3 indexed citations
2.
Skaer, Tracy L.. (2014). Fibromyalgia: Disease Synopsis, Medication Cost Effectiveness and Economic Burden. PharmacoEconomics. 32(5). 457–466. 76 indexed citations
3.
Sclar, David A., et al.. (2012). Concomitant Use of Triptan, and SSRI or SNRI After the US Food and Drug Administration Alert on Serotonin Syndrome. Headache The Journal of Head and Face Pain. 52(2). 198–203. 18 indexed citations
4.
Willson, Megan N., Joshua J. Neumiller, David A. Sclar, Linda M. Robison, & Tracy L. Skaer. (2010). Ethnicity/Race, Use of Pharmacotherapy, Scope of Physician-Ordered Cholesterol Screening, and Provision of Diet/Nutrition or Exercise Counseling during US Office-Based Visits by Patients with Hyperlipidemia. American Journal of Cardiovascular Drugs. 10(2). 105–108. 14 indexed citations
6.
Robison, Linda M., Tracy L. Skaer, & David A. Sclar. (2004). Is Attention-Deficit Hyperactivity Disorder (ADHD) Diagnosed in Adults?. International Journal of Pharmaceutical Medicine. 18(6). 337–341. 9 indexed citations
7.
Skaer, Tracy L.. (2004). Practice Guidelines for Transdermal Opioids in Malignant Pain. Drugs. 64(23). 2629–2638. 46 indexed citations
8.
Skaer, Tracy L., David A. Sclar, Linda M. Robison, & Richard S. Galin. (2001). Trends in the Rate of Self-Report and Diagnosis of Erectile Dysfunction in the United States 1990-1998. Disease Management & Health Outcomes. 9(1). 33–41. 5 indexed citations
9.
Skaer, Tracy L., David A. Sclar, Linda M. Robison, & Richard S. Galin. (2000). The Need for an Iterative Process for Assessing Economic Outcomes Associated with SSRIs. PharmacoEconomics. 18(3). 205–214. 6 indexed citations
10.
Sclar, David A., et al.. (1999). Sulfonylurea Pharmacotherapy Regimen Adherence in a Medicaid Population: Influence of Age, Gender, and Race. The Diabetes Educator. 25(4). 531–538. 38 indexed citations
11.
Skaer, Tracy L.. (1998). Cancer Pain Management. American Journal of Pharmaceutical Education. 62(2). 182–189.
12.
Sclar, David A., et al.. (1998). Economic outcomes with antidepressant pharmacotherapy: a retrospective intent-to-treat analysis.. PubMed. 59 Suppl 2. 13–7. 30 indexed citations
13.
Sclar, David A., et al.. (1998). Antidepressant Prescribing Patterns. Clinical Drug Investigation. 16(2). 135–140. 20 indexed citations
14.
Skaer, Tracy L., et al.. (1993). Effect of value-added utilities on prescription refill compliance and health care expenditures for hypertension.. PubMed. 7(5). 515–8. 46 indexed citations
15.
Skaer, Tracy L., et al.. (1993). Effect of pharmaceutical formulation for diltiazem on health care expenditures for hypertension.. PubMed. 15(5). 905–11. 13 indexed citations
16.
Skaer, Tracy L., et al.. (1993). Effect of pharmaceutical formulation for antihypertensive therapy on health service utilization.. PubMed. 15(4). 715–25; discussion 714. 16 indexed citations
17.
Skaer, Tracy L., et al.. (1993). Effect of academic detailing on the utilization of intravenous antimicrobial therapy. Current Therapeutic Research. 53(4). 349–355. 4 indexed citations
18.
Skaer, Tracy L., et al.. (1993). Effect of value-added utilities in promoting prescription refill compliance among patients with hypertension. Current Therapeutic Research. 53(3). 251–255. 8 indexed citations
19.
Sclar, David A., Tracy L. Skaer, Alfred Chin, Mark P. Okamoto, & Mark A. Gill. (1991). Utility of a transdermal delivery system for antihypertensive therapy. Part 2. The American Journal of Medicine. 91(1). S57–S60. 13 indexed citations
20.
Sclar, David A., Tracy L. Skaer, Alfred Chin, Mark P. Okamoto, & Mark A. Gill. (1991). Utility of a transdermal delivery system for antihypertensive therapy. Part 1. The American Journal of Medicine. 91(1). S50–S56. 35 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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