Vanessa R. Panz

1.7k total citations
54 papers, 1.1k citations indexed

About

Vanessa R. Panz is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Vanessa R. Panz has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Cardiology and Cardiovascular Medicine and 10 papers in Surgery. Recurrent topics in Vanessa R. Panz's work include Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers), Lipoproteins and Cardiovascular Health (8 papers) and Diabetes Management and Research (7 papers). Vanessa R. Panz is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers), Lipoproteins and Cardiovascular Health (8 papers) and Diabetes Management and Research (7 papers). Vanessa R. Panz collaborates with scholars based in South Africa, United Kingdom and United States. Vanessa R. Panz's co-authors include Frederick J. Raal, Gillian J. Pilcher, Barry I. Joffe, Hendrick E. van Deventer, Brigitte C. Brice, Dirk Blom, A. David Marais, A Immelman, Janice Paiker and B. I. Joffe and has published in prestigious journals such as The Lancet, Circulation and American Journal of Clinical Nutrition.

In The Last Decade

Vanessa R. Panz

54 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vanessa R. Panz South Africa 16 462 405 211 186 144 54 1.1k
Richard E. Scranton United States 20 505 1.1× 390 1.0× 158 0.7× 204 1.1× 234 1.6× 48 1.4k
P. T. Sawicki Germany 20 255 0.6× 764 1.9× 346 1.6× 414 2.2× 99 0.7× 46 1.4k
Eun Young Lee South Korea 17 324 0.7× 450 1.1× 216 1.0× 132 0.7× 56 0.4× 57 1.1k
Tomoo Okada Japan 20 646 1.4× 376 0.9× 348 1.6× 155 0.8× 131 0.9× 74 1.5k
Debra L. Simmons United States 17 209 0.5× 478 1.2× 195 0.9× 361 1.9× 140 1.0× 39 1.1k
Richard Bawol United States 12 347 0.8× 498 1.2× 253 1.2× 89 0.5× 173 1.2× 13 1.4k
Frances Wensley United Kingdom 7 335 0.7× 269 0.7× 290 1.4× 178 1.0× 97 0.7× 11 1.3k
Gijs W.D. Landman Netherlands 18 224 0.5× 510 1.3× 209 1.0× 516 2.8× 136 0.9× 68 1.4k
G. Berglund Sweden 21 245 0.5× 346 0.9× 448 2.1× 267 1.4× 111 0.8× 31 1.7k
D. S. Sharp United States 8 414 0.9× 358 0.9× 139 0.7× 107 0.6× 124 0.9× 11 852

Countries citing papers authored by Vanessa R. Panz

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa R. Panz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vanessa R. Panz. 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 Vanessa R. Panz. The network helps show where Vanessa R. Panz may publish in the future.

Co-authorship network of co-authors of Vanessa R. Panz

This figure shows the co-authorship network connecting the top 25 collaborators of Vanessa R. Panz. A scholar is included among the top collaborators of Vanessa R. Panz 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 Vanessa R. Panz. Vanessa R. Panz 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.
Ntyintyane, Lucas, Vanessa R. Panz, Frederick J. Raal, & Geoffrey Gill. (2009). Leptin, Adiponectin, and High-Sensitivity C-Reactive Protein in Relation to the Metabolic Syndrome in Urban South African Blacks With and Without Coronary Artery Disease. Metabolic Syndrome and Related Disorders. 7(3). 243–248. 25 indexed citations
2.
Ntyintyane, Lucas, Vanessa R. Panz, Frederick J. Raal, & Geoff Gill. (2008). Postprandial lipaemia, metabolic syndrome and LDL particle size in urbanised South African blacks with and without coronary artery disease. QJM. 101(2). 111–119. 18 indexed citations
3.
Ntyintyane, Lucas, Vanessa R. Panz, Frederick J. Raal, & Geoffrey Gill. (2006). Metabolic syndrome, undiagnosed diabetes mellitus and insulin resistance are highly prevalent in urbanised South African blacks with coronary artery disease : cardiovascular topic. 17(2). 50–55. 2 indexed citations
4.
Panz, Vanessa R., et al.. (2005). Performance of the CardioChekTM PA and Cholestech LDX(R) point-of-care analysers compared to clinical diagnostic laboratory methods for the measurement of lipids : cardiovascular topic. 16(2). 112–116. 11 indexed citations
5.
Brown, Susan L., et al.. (2004). High-dose atorvastatin therapy is required for significant improvement of endothelial function in heterozygous familial hypercholesterolaemic patients : cardiovascular topics. 15(2). 70–75. 7 indexed citations
6.
McNamara, Lynne, Vanessa R. Panz, Frederick J. Raal, et al.. (2003). Basal Endocrine Status in African Dietary Iron Overload. Endocrine. 21(3). 241–244. 1 indexed citations
7.
Panz, Vanessa R., Frederick J. Raal, Jack R. Wall, & Barry I. Joffe. (2000). Circulating Endothelium-Related Adhesion Molecules in Black South African Patients with Graves' Disease. Endocrine. 12(1). 21–24. 3 indexed citations
8.
Raal, Frederick J., Vanessa R. Panz, Gillian J. Pilcher, & Barry I. Joffe. (1999). Atherosclerosis seems not to be associated with hyperinsulinaemia in patients with familial hypercholesterolaemia. Journal of Internal Medicine. 246(1). 75–80. 9 indexed citations
9.
Panz, Vanessa R., et al.. (1999). Amlodipine and Physiological Responses to Brisk Exercise in Healthy. Cardiovascular Drugs and Therapy. 13(6). 513–517. 5 indexed citations
10.
11.
Panz, Vanessa R., et al.. (1998). Thyrotropin receptor antibodies in black South African patients with Graves’ disease and their response to medical therapy. Journal of Endocrinological Investigation. 21(11). 771–774. 8 indexed citations
12.
13.
Klug, E, B. I. Joffe, Vanessa R. Panz, et al.. (1994). Perindopril and Physiologic Responses to Exercise. Journal of Cardiovascular Pharmacology. 23(6). 864–868. 4 indexed citations
14.
Amirav, Israel, et al.. (1994). Effects of inspired air conditions on catecholamine response to exercise in asthma. Pediatric Pulmonology. 18(2). 99–103. 8 indexed citations
15.
Merwe, M. T. van der, et al.. (1994). Insulin-mediated glucose disposal in black South Africans with essential hypertension. QJM. 87(7). 431–6. 9 indexed citations
16.
17.
Raal, Frederick J., et al.. (1992). The relationship between the development and progression of microalbuminuria and arterial blood pressure in type 1 (insulin-dependent) diabetes mellitus. Diabetes Research and Clinical Practice. 16(3). 221–227. 12 indexed citations
18.
Kallenbach, J, Vanessa R. Panz, David Jankelow, Barry I. Joffe, & H C Seftel. (1990). Metabolic and Hormonal Responses to Salbutamol in Asthma. Evidence of Beta-Adrenergic Overactivity?. Respiration. 57(1). 21–27. 3 indexed citations
19.
Amirav, Israel, et al.. (1990). Growth hormone response to exercise in asthmatic and normal children. European Journal of Pediatrics. 149(6). 443–446. 10 indexed citations
20.
Joffe, Barry I., et al.. (1989). Clinical and Biochemical Responses to Nadolol and Clonidine in Hyperthyroidism. The Journal of Clinical Pharmacology. 29(12). 1117–1120. 4 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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