J. J. Brown

4.1k citations
82 papers · 3.0k indexed · h-index 34

Impact in

Papers in

J. J. Brown

82 papers receiving 2.6k citations

Peers

J. J. Brown
Comparison fields: 5 of 109
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Nephrology 348
  • Cardiology and Cardiovascular Medicine 994
  • Nutrition and Dietetics 389
  • Obstetrics and Gynecology 185
Replace M. Tree with:
M. Tree United Kingdom
Giancarlo Tonolo Italy
A.F. Lever United Kingdom
J. I. S. Robertson United Kingdom
Christine Maric United States
J Robillard United States
Fred H. Katz United States
Mohinder P. Sambhi United States
Edward G. Biglieri United States
W. Oelkers Germany
J. J. Brown relative to M. Tree United Kingdom M. Tree's profile →
Citations per field
00.5×
M. Tree · 1×
Citations per year

Countries citing papers authored by J. J. Brown

Since Specialization
Citations

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

Fields of papers citing papers by J. J. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. J. Brown, 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. J. Brown Line = papers co-authored together J. J. Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 199636
2 19911
3 19832
4 19807
5 197920
6 197952
7 197950
8 1979111
9 197823
10 19775
11 197789
12 19767
13 197565
14 197313
15 1973136
16 1972138
17 197092
18 197040
19
Plasma renin concentration and the control of blood pressure in patients with chronic renal failure the effect of hemo dialysis
19691
20 196443

About J. J. Brown

J. J. Brown is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Nutrition and Dietetics, having authored 82 papers that have together received 3.0k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (36 papers), Electrolyte and hormonal disorders (16 papers), Blood Pressure and Hypertension Studies (12 papers), Renin-Angiotensin System Studies (11 papers), Adrenal and Paraganglionic Tumors (8 papers), Sodium Intake and Health (7 papers), Adrenal Hormones and Disorders (7 papers) and Renal function and acid-base balance (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Nephrology (348 citations), Cardiology and Cardiovascular Medicine (994 citations), Nutrition and Dietetics (389 citations) and Obstetrics and Gynecology (185 citations). J. J. Brown has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include J. I. S. Robertson, Anthony F. Lever, R. Fräser, A. F. Lever, James I. Robertson, David L. Davies, M. Tree, A.F. Lever, J. B. Ferriss and J. J. Morton. Their work appears in journals such as The Lancet, Clinical Endocrinology, American Heart Journal, Clinical Science and Journal of Hypertension.

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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