A Blackwood

10 papers receiving 320 citations

Peers

A Blackwood
Comparison fields: 5 of 58
  • Cardiology and Cardiovascular Medicine 233
  • Endocrinology, Diabetes and Metabolism 155
  • Genetics 99
  • Pharmacology 61
  • Pulmonary and Respiratory Medicine 40
Replace Jacqueline Barley with:
Jacqueline Barley United Kingdom
Keiichi Sugimura Japan
M. Shintani Japan
Takehiko Tominaga Japan
S Czekalski Poland
Donald R. Allan Canada
Maria Beatriz Sayeg Freire Brazil
Sukhbir Dhamrait United Kingdom
Nathan Chan United Kingdom
Jeremy J. Bending United Kingdom
A Blackwood relative to Jacqueline Barley United Kingdom Jacqueline Barley's profile →
Citations per field
00.5×1.5×
Jacqueline Barley · 1×
Citations per year

Countries citing papers authored by A Blackwood

Since Specialization
Citations

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

Fields of papers citing papers by A Blackwood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A Blackwood

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 9
2
Glucose load and renal sodium handling in mild essential hypertension on different sodium intakes.
13
3
Angiotensin converting enzyme gene I/D polymorphism, blood pressure and the renin-angiotensin system in Caucasian and Afro-Caribbean peoples.
80
4
Determinants of membrane microviscosity in human erythrocytes: association with gender, blood pressure and serum lipids.
2
5 10
6 153
7
Angiotensinogen Met235-->Thr polymorphism in a London normotensive and hypertensive black and white population.
29
8 10
9 8
10 23

About A Blackwood

A Blackwood is a scholar working on Genetics, Physiology and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 337 indexed citations. Recurring topics across this work include Ion channel regulation and function (2 papers), Foreign Body Medical Cases (1 paper) and Blood properties and coagulation (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (233 citations), Endocrinology, Diabetes and Metabolism (155 citations) and Pharmacology (61 citations). A Blackwood has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Giuseppe A. Sagnella, Jacqueline Barley, J. CRUICKSHANK, Douglas E. Crews, Nicholas D. Carter, Nirmala D. Markandu, Michelle A. Miller, Francesco P. Cappuccio, Graham A. MacGregor and Steve Jeffery. Their work appears in journals such as Hypertension, British Journal of Pharmacology and Heart.

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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