N. Blakeman

523 total citations
12 papers, 369 citations indexed

About

N. Blakeman is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Endocrine and Autonomic Systems. According to data from OpenAlex, N. Blakeman has authored 12 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Endocrine and Autonomic Systems. Recurrent topics in N. Blakeman's work include Hormonal Regulation and Hypertension (4 papers), Neuroscience of respiration and sleep (3 papers) and Blood Pressure and Hypertension Studies (2 papers). N. Blakeman is often cited by papers focused on Hormonal Regulation and Hypertension (4 papers), Neuroscience of respiration and sleep (3 papers) and Blood Pressure and Hypertension Studies (2 papers). N. Blakeman collaborates with scholars based in United States and United Kingdom. N. Blakeman's co-authors include David H. P. Streeten, Gunnar H. Anderson, Michael A. Robbins, N. R. Schultz, Merrill F. Elias, D.J. Pallot, Carolyn B. Yucha, Patricia A. Randall, George W. Lighty and J R Gilsdorf and has published in prestigious journals such as The Lancet, Psychology and Aging and Journal of Hypertension.

In The Last Decade

N. Blakeman

12 papers receiving 347 citations

Peers

N. Blakeman

EDM

SURGE

CCM

PRM

CR

P. E. Nielsen Denmark

Jan Filipovský Czechia

R. Enrini Italy

Enrico Boni Italy

P L Padfield United Kingdom

Robert Hilkert United States

Remo Caramia Italy

Krishan Patel United States

J. J. Graham Australia

Michael J. Schoenfeld United States

P. E. Nielsen Denmark

N. Blakeman

135 ×0.7

EDM

269 ×1.4

SURGE

133 ×1.1

CCM

59 ×0.8

PRM

15 ×0.4

CR

Citations per year, relative to N. Blakeman N. Blakeman (= 1×) peers P. E. Nielsen

Countries citing papers authored by N. Blakeman

Since Specialization

Citations

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

Fields of papers citing papers by N. Blakeman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Blakeman

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

All Works

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12 of 12 papers shown

1.

Anderson, Gunnar H., N. Blakeman, & David H. P. Streeten. (1994). The effect of age on prevalence of secondary forms of hypertension in 4429 consecutively referred patients. Journal of Hypertension. 12(5). 609–609. 288 indexed citations

2.

Anderson, Gunnar H., George W. Lighty, J R Gilsdorf, N. Blakeman, & David H. P. Streeten. (1991). Atrial Natriuretic Hormone: Predictive of the Hypokalemic Response to Thiazide Therapy in Essential Hypertension. American Journal of Hypertension. 4(12 Pt 1). 919–923. 2 indexed citations

3.

Yucha, Carolyn B. & N. Blakeman. (1991). Pheochromocytoma. Cancer Nursing. 14(3). 136–140. 5 indexed citations

4.

Schultz, N. R., Merrill F. Elias, Michael A. Robbins, David H. P. Streeten, & N. Blakeman. (1989). A longitudinal study of the performance of hypertensive and normotensive subjects on the Wechsler Adult Intelligence Scale.. Psychology and Aging. 4(4). 496–499. 14 indexed citations

5.

Anderson, Gunnar H., N. Blakeman, & David H. P. Streeten. (1988). Prediction of Renovascular Hypertension Comparison of Clinical Diagnostic Indices. American Journal of Hypertension. 1(3 Pt 1). 301–304. 22 indexed citations

6.

Pallot, D.J. & N. Blakeman. (1986). Quantitative Studies of Rat Carotid Body Type I Cell Nerve Endings. Cells Tissues Organs. 126(4). 212–217. 1 indexed citations

7.

Pallot, D.J., et al.. (1986). Quantitative Studies of Rat Carotid Body Type I Cells. Cells Tissues Organs. 126(3). 187–192. 7 indexed citations

8.

Schultz, N. R., Merrill F. Elias, Michael A. Robbins, David H. P. Streeten, & N. Blakeman. (1986). A Longitudinal Comparison of Hypertensives and Normotensives on the Wechsler Adult Intelligence Scale: Initial Findings. Journal of Gerontology. 41(2). 169–175. 20 indexed citations

9.

Pallot, D.J., et al.. (1985). Quantitative Studies of the Cat Carotid Body. Cells Tissues Organs. 124(1-2). 35–41. 1 indexed citations

10.

Blakeman, N., et al.. (1982). Quantitative Ultrastructural Studies of the Cat Carotid Body. Cells Tissues Organs. 113(1). 47–52. 3 indexed citations

11.

Pallot, D.J. & N. Blakeman. (1982). Quantitative Ultrastructural Studies of the Cat Carotid Body. Cells Tissues Organs. 113(2). 151–158. 1 indexed citations

12.

Randall, Patricia A., et al.. (1980). EFFECT OF AGE ON DIAGNOSTIC USEFULNESS OF STIMULATED PLASMA RENIN ACTIVITY AND SARALASIN TEST IN DETECTION OF RENOVASCULAR HYPERTENSION. The Lancet. 316(8199). 821–824. 5 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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