Karen L. Berry

1.3k total citations
15 papers, 995 citations indexed

About

Karen L. Berry is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Karen L. Berry has authored 15 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Surgery. Recurrent topics in Karen L. Berry's work include Cardiovascular Health and Disease Prevention (12 papers), Blood Pressure and Hypertension Studies (9 papers) and Heart Rate Variability and Autonomic Control (4 papers). Karen L. Berry is often cited by papers focused on Cardiovascular Health and Disease Prevention (12 papers), Blood Pressure and Hypertension Studies (9 papers) and Heart Rate Variability and Autonomic Control (4 papers). Karen L. Berry collaborates with scholars based in Australia, United States and Panama. Karen L. Berry's co-authors include James D. Cameron, Bronwyn A. Kingwell, Garry Jennings, Anthony M. Dart, Ian T. Meredith, R. Andrew P. Skyrme-Jones, Richard O’Brien, Christoph D. Gatzka, Yu‐Lu Liang and Elizabeth Dewar and has published in prestigious journals such as Journal of the American College of Cardiology, Hypertension and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Karen L. Berry

15 papers receiving 954 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karen L. Berry Australia 13 808 138 130 110 110 15 995
Tamara K. Waddell Australia 8 991 1.2× 128 0.9× 247 1.9× 174 1.6× 175 1.6× 8 1.2k
Anke C. C. M. van Mil Netherlands 9 590 0.7× 114 0.8× 105 0.8× 162 1.5× 72 0.7× 11 908
Mirian J. Kool Netherlands 14 692 0.9× 167 1.2× 199 1.5× 32 0.3× 124 1.1× 19 838
L. Lakatta United States 5 944 1.2× 102 0.7× 112 0.9× 312 2.8× 55 0.5× 6 1.1k
Frances C. O’Connor United States 12 1.1k 1.3× 158 1.1× 124 1.0× 394 3.6× 55 0.5× 16 1.3k
Mutsuko Yoshizawa Japan 13 465 0.6× 71 0.5× 56 0.4× 165 1.5× 58 0.5× 21 716
Miriam Y. Cortez‐Cooper United States 11 990 1.2× 145 1.1× 184 1.4× 348 3.2× 95 0.9× 20 1.3k
M. F. OʼRourke Australia 11 1.4k 1.7× 244 1.8× 285 2.2× 60 0.5× 66 0.6× 13 1.6k
Dionysios Adamopoulos Switzerland 15 408 0.5× 101 0.7× 78 0.6× 54 0.5× 67 0.6× 48 744
Chris Reed Australia 6 603 0.7× 131 0.9× 144 1.1× 234 2.1× 35 0.3× 6 819

Countries citing papers authored by Karen L. Berry

Since Specialization
Citations

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

Fields of papers citing papers by Karen L. Berry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karen L. Berry

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

All Works

15 of 15 papers shown
1.
Dart, Anthony M., Bronwyn A. Kingwell, Christoph D. Gatzka, et al.. (2008). Smaller Aortic Dimensions Do Not Fully Account for the Greater Pulse Pressure in Elderly Female Hypertensives. Hypertension. 51(4). 1129–1134. 30 indexed citations
2.
Dart, Anthony M., James D. Cameron, Christoph D. Gatzka, et al.. (2007). Similar Effects of Treatment on Central and Brachial Blood Pressures in Older Hypertensive Subjects in the Second Australian National Blood Pressure Trial. Hypertension. 49(6). 1242–1247. 40 indexed citations
3.
Dart, Anthony M., Christoph D. Gatzka, Bronwyn A. Kingwell, et al.. (2006). Brachial Blood Pressure But Not Carotid Arterial Waveforms Predict Cardiovascular Events in Elderly Female Hypertensives. Hypertension. 47(4). 785–790. 135 indexed citations
4.
Berry, Karen L., James D. Cameron, Anthony M. Dart, et al.. (2004). Large‐Artery Stiffness Contributes to the Greater Prevalence of Systolic Hypertension in Elderly Women. Journal of the American Geriatrics Society. 52(3). 368–373. 60 indexed citations
5.
Dart, Anthony M., Christoph D. Gatzka, James D. Cameron, et al.. (2004). Large Artery Stiffness Is Not Related to Plasma Cholesterol in Older Subjects with Hypertension. Arteriosclerosis Thrombosis and Vascular Biology. 24(5). 962–968. 38 indexed citations
6.
Davis, Susan R., Rebecca Goldstat, Anne B. Newman, et al.. (2002). Differing effects of low-dose estrogen–progestin therapy and pravastatin in postmenopausal hypercholesterolemic women. Climacteric. 5(4). 341–350. 15 indexed citations
7.
Gatzka, Christoph D., Bronwyn A. Kingwell, James D. Cameron, et al.. (2001). Gender differences in the timing of arterial wave reflection beyond differences in body height. Journal of Hypertension. 19(12). 2197–2203. 142 indexed citations
8.
New, Gishel, Karen L. Berry, James D. Cameron, Richard W. Harper, & Ian T. Meredith. (2000). Long-term oestrogen treatment does not alter systemic arterial compliance and haemodynamics in biological males. Coronary Artery Disease. 11(3). 253–259. 12 indexed citations
9.
Skyrme-Jones, R. Andrew P., Richard O’Brien, Karen L. Berry, & Ian T. Meredith. (2000). Vitamin E supplementation improves endothelial function in type I diabetes mellitus: a randomized, placebo-controlled study. Journal of the American College of Cardiology. 36(1). 94–102. 111 indexed citations
10.
Berry, Karen L., R. Andrew P. Skyrme-Jones, & Ian T. Meredith. (2000). Occlusion cuff position is an important determinant of the time course and magnitude of human brachial artery flow-mediated dilation. Clinical Science. 99(4). 261–267. 95 indexed citations
11.
Berry, Karen L., et al.. (1999). Basal and exercise-induced skeletal muscle blood flow is augmented in type I diabetes mellitus. Clinical Science. 98(1). 111–120. 14 indexed citations
12.
Berry, Karen L., R. Andrew P. Skyrme-Jones, James D. Cameron, Richard O’Brien, & Ian T. Meredith. (1999). Systemic arterial compliance is reduced in young patients with IDDM. American Journal of Physiology-Heart and Circulatory Physiology. 276(6). H1839–H1845. 48 indexed citations
13.
New, Gishel, Stephen J. Duffy, Karen L. Berry, Richard W. Harper, & Ian T. Meredith. (1999). Acute administration of 17β-oestradiol does not improve endothelium-dependent vasodilatation in young men. Clinical Science. 97(2). 225–232. 8 indexed citations
14.
Kingwell, Bronwyn A., Karen L. Berry, James D. Cameron, Garry Jennings, & Anthony M. Dart. (1997). Arterial compliance increases after moderate-intensity cycling. American Journal of Physiology-Heart and Circulatory Physiology. 273(5). H2186–H2191. 234 indexed citations
15.
Korner, Anneliese F., et al.. (1990). Sleep Enhanced and Irritability Reduced in Preterm Infants. Journal of Developmental & Behavioral Pediatrics. 11(5). 240???246–240???246. 13 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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