M. G. Havenith

1.5k citations
40 papers · 1.2k · h-index 19

Impact in

Papers in

M. G. Havenith

38 papers receiving 1.1k citations

Peers

M. G. Havenith
Comparison fields: 5 of 94
  • Immunology and Allergy 230
  • Cardiology and Cardiovascular Medicine 440
  • Cancer Research 141
  • Surgery 385
  • Cell Biology 138
Replace Mieko Katsuura with:
Mieko Katsuura Japan
Matie Shou United States
Yukiko Sugi United States
Masashi Shimazaki Japan
Guy Leclerc Canada
Puspa Batten United Kingdom
Hong-Ming Zhou United States
Franco Klingberg Canada
Lior Zilberberg United States
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Citations per field
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Citations per year

Countries citing papers authored by M. G. Havenith

Since Specialization
Citations

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

Fields of papers citing papers by M. G. Havenith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The alpha-smooth muscle actin-positive cells in healing human myocardial scars.
1994301
2 198889
3 198576
4 199065
5 199356
6 198949
7 199347
8 199046
9 198945
10 198645
11 199044
12 198742
13
Structural alterations in heart valves during left ventricular pressure overload in the rat.
199440
14 199125
15 198924
16 199019
17
Origin of basement membrane type IV collagen in xenografted human epithelial tumor cell lines.
199019
18 199018
19
Characterization of Cobblestone mitral valve interstitial cells.
199118
20 199214

About M. G. Havenith

M. G. Havenith is a scholar working on Cardiology and Cardiovascular Medicine, Immunology and Allergy, Surgery, Oncology and Pulmonary and Respiratory Medicine, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (11 papers), Medical Imaging and Pathology Studies (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Cardiovascular Effects of Exercise (3 papers), Connective tissue disorders research (3 papers), Cardiac pacing and defibrillation studies (3 papers), Cardiac Valve Diseases and Treatments (3 papers) and Muscle Physiology and Disorders (3 papers). The work is most often cited by research in Immunology and Allergy (230 citations), Cardiology and Cardiovascular Medicine (440 citations), Cancer Research (141 citations), Surgery (385 citations) and Cell Biology (138 citations). M. G. Havenith has collaborated with scholars based in Netherlands, United States and Chile. Frequent co-authors include Mat J.A.P. Daemen, I.E.M.G. Willems, Fred T. Bosman, Jo G. R. De Mey, Jack P.M. Cleutjens, A. Volovics, Hein J.J. Wellens, Pedro Brugada, Jan Willem Arends and Theo Wiggers. Their work appears in journals such as Cancer, Histochemistry and Cell Biology, Histopathology, Circulation and American Heart Journal.

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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