J. A. Millar

1.7k citations
66 papers · 1.4k indexed · h-index 17

J. A. Millar

65 papers receiving 1.3k citations

Peers

J. A. Millar
Comparison fields: 5 of 115
  • Cardiology and Cardiovascular Medicine 665
  • Nutrition and Dietetics 245
  • Endocrinology, Diabetes and Metabolism 260
  • Genetics 131
  • Internal Medicine 45
Replace Knud Kjeldsen with:
Knud Kjeldsen Denmark
M.A. Barradas United Kingdom
F Capani Italy
R Casale Italy
Kyriakoula Marinou Greece
H R Brunner Switzerland
Virginia Fitzpatrick United States
Walter Flamenbaum United States
A. Overlack Germany
Jean Dallongeville France
J. A. Millar relative to Knud Kjeldsen Denmark Knud Kjeldsen's profile →
Citations per field
00.5×2.7×
Knud Kjeldsen · 1×
Citations per year

Countries citing papers authored by J. A. Millar

Since Specialization
Citations

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

Fields of papers citing papers by J. A. Millar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside J. A. Millar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J. A. Millar Line = papers co-authored together J. A. Millar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20151
2 20142
3 20122
4 20125
5 20099
6 200814
7 19946
8 199310
9 19934
10 19903
11 19905
12 199021
13
Mitogenesis in cultured vascular smooth muscle cells from two rat models of hypertension in response to fetal calf serum and angiotensin II.
19907
14 19862
15 19851
16 198212
17 198225
18
Reproducibility and correlation of tests of 'small airways disease'.
19751
19 19709
20 196411

About J. A. Millar

J. A. Millar is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine, Hematology, Geriatrics and Gerontology and Pediatrics, Perinatology and Child Health, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (9 papers), Acute Myocardial Infarction Research (7 papers), Renin-Angiotensin System Studies (7 papers), Blood Pressure and Hypertension Studies (6 papers), Birth, Development, and Health (6 papers), Hormonal Regulation and Hypertension (5 papers), Atrial Fibrillation Management and Outcomes (4 papers) and Blood Coagulation and Thrombosis Mechanisms (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (665 citations), Nutrition and Dietetics (245 citations), Endocrinology, Diabetes and Metabolism (260 citations), Genetics (131 citations) and Internal Medicine (45 citations). J. A. Millar has collaborated with scholars based in United Kingdom, New Zealand and Australia. Frequent co-authors include Valerie Burke, Anthony F. Lever, C. I. Johnston, Barry P. McGrath, P. G. Matthews, A. Goldberg, Allan D. Struthers, R. L. C. Cumming, J J Morton and M. Tree. Their work appears in journals such as Journal of Cardiovascular Pharmacology, The Medical Journal of Australia, Clinical and Experimental Pharmacology and Physiology, The Lancet and Clinica Chimica Acta.

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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