Millar Ja

437 total citations
20 papers, 359 citations indexed

About

Millar Ja is a scholar working on Cardiology and Cardiovascular Medicine, Economics and Econometrics and Molecular Biology. According to data from OpenAlex, Millar Ja has authored 20 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cardiology and Cardiovascular Medicine, 3 papers in Economics and Econometrics and 2 papers in Molecular Biology. Recurrent topics in Millar Ja's work include Pregnancy and preeclampsia studies (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Pharmaceutical Economics and Policy (2 papers). Millar Ja is often cited by papers focused on Pregnancy and preeclampsia studies (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Pharmaceutical Economics and Policy (2 papers). Millar Ja collaborates with scholars based in Australia, New Zealand and United Kingdom. Millar Ja's co-authors include Sheila F. O’Brien, Gerald F. Watts, William Silvester, Michael Millward, Wilson Pd, V. Burke, B Leckie, J. I. S. Robertson, R. Fräser and P A Mason and has published in prestigious journals such as British Journal of Clinical Pharmacology, Clinical Science and PharmacoEconomics.

In The Last Decade

Millar Ja

20 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Millar Ja Australia 9 169 84 62 60 44 20 359
C McRae Australia 8 135 0.8× 39 0.5× 54 0.9× 51 0.8× 37 0.8× 14 446
Jorge Plutzky United States 5 88 0.5× 71 0.8× 72 1.2× 141 2.4× 35 0.8× 5 437
Stefano Capobianco Italy 5 166 1.0× 127 1.5× 42 0.7× 73 1.2× 19 0.4× 7 454
A. Ottosson-Seeberger Sweden 9 183 1.1× 161 1.9× 91 1.5× 70 1.2× 11 0.3× 10 406
Munenori Kosugi Japan 10 137 0.8× 102 1.2× 28 0.5× 44 0.7× 25 0.6× 11 352
Naoya Fukunaga Japan 10 192 1.1× 72 0.9× 42 0.7× 113 1.9× 16 0.4× 20 403
Masahisa Goto Japan 10 122 0.7× 39 0.5× 89 1.4× 169 2.8× 25 0.6× 14 392
Raffaella Riccobene Italy 10 253 1.5× 66 0.8× 64 1.0× 48 0.8× 17 0.4× 13 528
Melvin J. Tonkon United States 11 351 2.1× 42 0.5× 101 1.6× 87 1.4× 19 0.4× 22 548

Countries citing papers authored by Millar Ja

Since Specialization
Citations

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

Fields of papers citing papers by Millar Ja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Millar Ja

This figure shows the co-authorship network connecting the top 25 collaborators of Millar Ja. A scholar is included among the top collaborators of Millar Ja 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 Millar Ja. Millar Ja 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.
Ja, Millar. (2012). The Cockroft and Gault formula for estimation of creatinine clearance: a friendly deconstruction.. PubMed. 125(1350). 119–22. 8 indexed citations
2.
Ja, Millar & Michael Millward. (2007). Cost Effectiveness of Trastuzumab in the Adjuvant Treatment of Early Breast Cancer. PharmacoEconomics. 25(5). 429–442. 52 indexed citations
3.
Ja, Millar & V. Burke. (2002). Relationship between sample size and the definition of equivalence in non-inferiority drug studies. Journal of Clinical Pharmacy and Therapeutics. 27(5). 329–333. 9 indexed citations
4.
Ja, Millar. (1998). Shortcomings in the trough to peak ratio as a guide to the dose interval for antihypertensive drugs. Journal of Human Hypertension. 12(1). 37–44. 2 indexed citations
5.
Watts, Gerald F., Sheila F. O’Brien, William Silvester, & Millar Ja. (1996). Impaired Endothelium-Dependent and Independent Dilatation of Forearm Resistance Arteries in Men with Diet-Treated Non-Insulin-Dependent Diabetes: Role of Dyslipidaemia. Clinical Science. 91(5). 567–573. 174 indexed citations
6.
Ja, Millar, et al.. (1996). Measurement of blood pressure may be affected by an interaction between subject and observer based on gender.. PubMed. 10(7). 449–53. 12 indexed citations
7.
Ja, Millar. (1995). ECONOMIC COMPARISON OF DRUG AND LIFESTYLE TREATMENT OF CARDIOVASCULAR RISK FACTORS IN HIGH‐RISK PATIENTS. Clinical and Experimental Pharmacology and Physiology. 22(3). 217–219. 2 indexed citations
8.
Ja, Millar & A. F. Lever. (1995). Adjustment of the apparent benefits of treatment on stroke risk in the MRC mild hypertension trial using data from the placebo-treated group.. PubMed. 9(6). 409–12. 1 indexed citations
9.
Ja, Millar, et al.. (1992). Current treatment of hypertension. Part 1: Diagnosis and nonpharmacological therapy.. PubMed. 105(927). 39–40. 1 indexed citations
10.
Ja, Millar, et al.. (1992). Current treatment of hypertension. Part 2: Risk factors, drug treatment and economic aspects.. PubMed. 105(928). 61–3. 1 indexed citations
11.
Ja, Millar, et al.. (1991). Captopril as adjunctive treatment in catamenial epilepsy.. PubMed. 104(918). 368–9. 2 indexed citations
12.
Ja, Millar, et al.. (1988). Confounding factors in the study of membrane pump abnormalities in essential hypertension and pregnancy-induced hypertension.. PubMed. 23. 77–83. 1 indexed citations
13.
Ja, Millar, et al.. (1985). Measurement of erythrocyte sodium and calcium efflux kinetics in man, and application to hypertension.. PubMed. 63 Suppl 3. 12–5. 2 indexed citations
14.
Ja, Millar, R. Fräser, P A Mason, et al.. (1984). Metabolic effects of high dose amiloride and spironolactone: a comparative study in normal subjects.. British Journal of Clinical Pharmacology. 18(3). 369–375. 8 indexed citations
15.
Ja, Millar, et al.. (1984). Evidence against a circulating ouabain-like transport inhibitor as a cause of increased red cell sodium in essential hypertension.. PubMed. 2(3). S461–3. 5 indexed citations
16.
Ja, Millar, et al.. (1983). Management of severe hypertension in pregnancy by a combined drug regimen including captopril: case report.. PubMed. 96(742). 796–8. 14 indexed citations
17.
Ja, Millar, et al.. (1983). Enalapril and autonomic reflexes and exercise performance.. PubMed. 1(1). 129–34. 20 indexed citations
18.
Ja, Millar. (1982). Plasma Active and Inactive Renin in Man During Infusion of Angiotensin II With and Without Prior Administration of Nifedipine. Clinical and Experimental Hypertension Part A Theory and Practice. 4(11-12). 2415–2424. 4 indexed citations
19.
Ja, Millar, et al.. (1980). Hormonal responses to angiotensin blockade. Comparison between receptor antagonism and converting enzyme inhibition.. PubMed. 46(6 Pt 2). I128–34. 35 indexed citations
20.
Ja, Millar, et al.. (1980). Kallikrein, kinins and blood pressure - effects of angiotensin-converting enzyme inhibition.. PubMed. 17. 123–33. 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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