Malcolm Tree

2.8k citations
78 papers · 2.4k · h-index 28

Impact in

Papers in

Malcolm Tree

75 papers receiving 1.9k citations

Peers

Malcolm Tree
Comparison fields: 5 of 99
  • Endocrinology, Diabetes and Metabolism 770
  • Nephrology 311
  • Cardiology and Cardiovascular Medicine 891
  • Obstetrics and Gynecology 222
  • Pulmonary and Respiratory Medicine 482
Replace Jehoida J. Brown with:
Jehoida J. Brown United Kingdom
Hans Herlitz Sweden
Giancarlo Tonolo Italy
Mohinder P. Sambhi United States
Peter Eggena United States
Christine Maric United States
J. I. S. Robertson United Kingdom
Sheldon J. Bleicher United States
Edwin L. Cohen United States
Cristina Barlassina Italy
Malcolm Tree relative to Jehoida J. Brown United Kingdom Jehoida J. Brown's profile →
Citations per field
00.5×1.5×
Jehoida J. Brown · 1×
Citations per year

Countries citing papers authored by Malcolm Tree

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm Tree

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1964168
2 1973147
3 1973143
4 1980133
5 1975110
6 1971101
7 1970100
8 196488
9 197588
10 196673
11 197372
12 197664
13 197464
14 197958
15 197957
16 196854
17 198151
18 197241
19 197339
20 197138

About Malcolm Tree

Malcolm Tree is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Nephrology, Pulmonary and Respiratory Medicine and Nutrition and Dietetics, having authored 78 papers that have together received 2.4k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (25 papers), Renin-Angiotensin System Studies (23 papers), Electrolyte and hormonal disorders (13 papers), Blood Pressure and Hypertension Studies (6 papers), Sodium Intake and Health (6 papers), Receptor Mechanisms and Signaling (6 papers), Renal function and acid-base balance (5 papers) and Heart Failure Treatment and Management (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (770 citations), Nephrology (311 citations), Cardiology and Cardiovascular Medicine (891 citations), Obstetrics and Gynecology (222 citations) and Pulmonary and Respiratory Medicine (482 citations). Malcolm Tree has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include J. I. S. Robertson, A. F. Lever, R. Fräser, Jehoida J. Brown, Anthony F. Lever, J. J. Morton, Justin J. Brown, R. J. Weir, J J Morton and BRENDA J. LECKIE. Their work appears in journals such as Clinical Science, The Lancet, Journal of Hypertension, Journal of Endocrinology and Journal of Cardiovascular Pharmacology.

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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