M. Tree

2.8k citations
78 papers · 2.3k · h-index 27

Impact in

Papers in

M. Tree

74 papers receiving 1.9k citations

Peers

M. Tree
Comparison fields: 5 of 96
  • Endocrinology, Diabetes and Metabolism 762
  • Nephrology 308
  • Cardiology and Cardiovascular Medicine 872
  • Obstetrics and Gynecology 223
  • Pulmonary and Respiratory Medicine 483
Replace J. J. Brown with:
J. J. Brown United Kingdom
Giancarlo Tonolo Italy
Mohinder P. Sambhi United States
Peter Eggena United States
J. I. S. Robertson United Kingdom
Christine Maric United States
Cristina Barlassina Italy
Edwin Cohen United States
R R Williams United States
G. H. Williams United States
M. Tree relative to J. J. Brown United Kingdom J. J. Brown's profile →
Citations per field
00.5×1.5×
J. J. Brown · 1×
Citations per year

Countries citing papers authored by M. Tree

Since Specialization
Citations

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

Fields of papers citing papers by M. Tree

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. 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 M. Tree Line = papers co-authored together M. 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 1964171
2 1973149
3 1973141
4 1980133
5 1975110
6 1971102
7 1970100
8 196489
9 197588
10 196673
11 197372
12 197464
13 197663
14 197957
15 197956
16 196855
17 198150
18 197340
19 197239
20 197138

About M. Tree

M. Tree is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Molecular Biology and Nutrition and Dietetics, having authored 78 papers that have together received 2.3k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (25 papers), Renin-Angiotensin System Studies (22 papers), Electrolyte and hormonal disorders (14 papers), Sodium Intake and Health (6 papers), Blood Pressure and Hypertension Studies (6 papers), Receptor Mechanisms and Signaling (6 papers), Heart Failure Treatment and Management (5 papers) and Renal function and acid-base balance (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (762 citations), Nephrology (308 citations), Cardiology and Cardiovascular Medicine (872 citations), Obstetrics and Gynecology (223 citations) and Pulmonary and Respiratory Medicine (483 citations). M. Tree has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include J. I. S. Robertson, A. F. Lever, R. Fräser, J. J. Brown, Anthony F. Lever, J. J. Morton, Justin Brown, R. J. Weir, J J Morton and James I. Robertson. 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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