D Meddis

400 total citations
21 papers, 319 citations indexed

About

D Meddis is a scholar working on Physiology, Dermatology and Economics and Econometrics. According to data from OpenAlex, D Meddis has authored 21 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 5 papers in Dermatology and 5 papers in Economics and Econometrics. Recurrent topics in D Meddis's work include Health Systems, Economic Evaluations, Quality of Life (5 papers), Asthma and respiratory diseases (5 papers) and Dermatology and Skin Diseases (4 papers). D Meddis is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (5 papers), Asthma and respiratory diseases (5 papers) and Dermatology and Skin Diseases (4 papers). D Meddis collaborates with scholars based in United Kingdom, United States and Ireland. D Meddis's co-authors include A. J. Thody, Sam Shuster, Mark Sculpher, David Millson, Benjamín Gutiérrez, Lynne Poole, Mary F. Cooper, Samuel Wagner, Michael S. Broder and Michael Schätz and has published in prestigious journals such as The American Journal of Cardiology, Cellular and Molecular Life Sciences and Journal of Investigative Dermatology.

In The Last Decade

D Meddis

19 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D Meddis United Kingdom 12 124 100 92 34 30 21 319
Martine Le Gal France 8 107 0.9× 23 0.2× 39 0.4× 6 0.2× 33 1.1× 14 326
Sophie Ligier Canada 9 51 0.4× 35 0.3× 46 0.5× 14 0.4× 31 1.0× 9 308
Mauro Zucchetto United Kingdom 9 35 0.3× 63 0.6× 22 0.2× 15 0.4× 69 2.3× 10 274
Grzegorz Kardas Poland 9 117 0.9× 78 0.8× 16 0.2× 36 1.1× 7 0.2× 20 377
Astrid J. Rodriguez‐Acevedo Australia 10 44 0.4× 10 0.1× 120 1.3× 15 0.4× 42 1.4× 19 313
KS Gopinath India 10 71 0.6× 158 1.6× 60 0.7× 12 0.4× 7 0.2× 14 766
Nikhil Patel United States 13 93 0.8× 25 0.3× 16 0.2× 5 0.1× 23 0.8× 31 462
K.L. Sterling United States 11 189 1.5× 99 1.0× 38 0.4× 30 0.9× 9 0.3× 39 327
Somboon Leungwattanakij Thailand 14 46 0.4× 87 0.9× 551 6.0× 5 0.1× 12 0.4× 23 758
Dave Nellesen United States 9 49 0.4× 20 0.2× 33 0.4× 20 0.6× 14 0.5× 27 457

Countries citing papers authored by D Meddis

Since Specialization
Citations

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

Fields of papers citing papers by D Meddis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D Meddis

This figure shows the co-authorship network connecting the top 25 collaborators of D Meddis. A scholar is included among the top collaborators of D Meddis 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 D Meddis. D Meddis 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.
Blanchette, Christopher M., et al.. (2011). Relationship between short-acting β2-adrenergic agonist use and healthcare costs.. PubMed. 17(1). 19–27. 17 indexed citations
2.
Blanchette, Christopher M., et al.. (2010). Quarterly Assessment of Short-Acting β2-Adrenergic Agonist Use as a Predictor of Subsequent Health Care Use for Asthmatic Patients in the United States. Journal of Asthma. 47(6). 660–666. 18 indexed citations
3.
Broder, Michael S., Benjamín Gutiérrez, Eunice Chang, D Meddis, & Michael Schätz. (2010). Ratio of controller to total asthma medications: determinants of the measure.. PubMed. 16(3). 170–8. 35 indexed citations
4.
Hauber, Brett, Ateesha F. Mohamed, F. Reed Johnson, et al.. (2009). Quantifying asthma patient preferences for onset of effect of combination inhaled corticosteroids and long-acting beta2-agonist maintenance medications. Allergy and Asthma Proceedings. 30(2). 139–147. 22 indexed citations
5.
Harding, Gale, Nancy Kline Leidy, D Meddis, et al.. (2009). Interpreting clinical trial results of patient-perceived onset of effect in asthma: methods and results of a Delphi panel. Current Medical Research and Opinion. 25(6). 1563–1571. 24 indexed citations
6.
7.
Yount, Susan, Marcy A. List, Hongyan Du, et al.. (2007). A randomized validation study comparing embedded versus extracted FACT Head and Neck Symptom Index scores. Quality of Life Research. 16(10). 1615–1626. 21 indexed citations
8.
Goodacre, Lynne, Jeremy C. Smith, D Meddis, & John Goodacre. (2006). Development and validation of a patient-centred Measure of Activity Limitation (MAL) in rheumatoid arthritis. Lara D. Veeken. 46(4). 703–708. 7 indexed citations
9.
Mortimer, Ann, Pauline Williams, & D Meddis. (2003). Impact of Side-Effects of Atypical Antipsychotics on Non-Compliance, Relapse and Cost. Journal of International Medical Research. 31(3). 188–196. 18 indexed citations
10.
Tilden, Dominic, et al.. (2002). An economic assessment of quetiapine and haloperidol in patients with schizophrenia only partially responsive to conventional antipsychotics. Clinical Therapeutics. 24(10). 1648–1667. 18 indexed citations
11.
Sculpher, Mark, David Millson, D Meddis, & Lynne Poole. (2002). Cost-Effectiveness Analysis of Stratified Versus Stepped Care Strategies for Acute Treatment of Migraine. PharmacoEconomics. 20(2). 91–100. 47 indexed citations
12.
Lynch, Vincent J., et al.. (2001). The health economic implications of treatment with quetiapine: an audit of long-term treatment for patients with chronic schizophrenia. European Psychiatry. 16(5). 307–312. 10 indexed citations
13.
14.
Adgey, Jennifer, Malcolm Clarke, Ali Raza, & D Meddis. (1992). Study of the safety and efficacy of ACE inhibitors and their effects on 24-hour electrocardiographic monitoring in the treatment of moderate-to-severe heart failure: An interim analysis. The American Journal of Cardiology. 70(10). 142–144. 2 indexed citations
15.
16.
Thody, A. J., D Meddis, & Sam Shuster. (1978). Increased Sebaceous Gland Activity in the Adult Rat after α-Melanocyte-stimulating Hormone Treatment during Early Life. Journal of Investigative Dermatology. 70(6). 328–330. 11 indexed citations
17.
Cooper, Mary F., Paul E. Bowden, D Meddis, A. J. Thody, & Sam Shuster. (1976). Effects of Testosterone and α-Melanocyte-Stimulating Hormone on Preputial-Gland (Sebaceous) Activity. Biochemical Society Transactions. 4(4). 798–800. 4 indexed citations
18.
Bowden, Paul E., D Meddis, Mary F. Cooper, A. J. Thody, & Sam Shuster. (1976). Effects of 5α-Reduced Androgens on Preputial-Gland Size and Lipogenic Activity. Biochemical Society Transactions. 4(4). 795–797. 2 indexed citations
19.
Meddis, D, et al.. (1975). Proceedings: The sebaceous gland response to alpha-melanocyte-stimulating hormone and testosterone.. PubMed. 67(2). 18P–19P. 4 indexed citations
20.
Snart, R.S., et al.. (1973). Glucocorticoid and mineralocorticoid effects in rat liver and kidney. Cellular and Molecular Life Sciences. 29(12). 1491–1492. 1 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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