M.V. Huisman

44 total papers · 729 total citations
21 papers, 454 citations indexed

About

M.V. Huisman is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Internal Medicine. According to data from OpenAlex, M.V. Huisman has authored 21 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 7 papers in Epidemiology and 6 papers in Internal Medicine. Recurrent topics in M.V. Huisman's work include Venous Thromboembolism Diagnosis and Management (6 papers), Acute Ischemic Stroke Management (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). M.V. Huisman is often cited by papers focused on Venous Thromboembolism Diagnosis and Management (6 papers), Acute Ischemic Stroke Management (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). M.V. Huisman collaborates with scholars based in Netherlands, United States and Austria. M.V. Huisman's co-authors include Harry R. Büller, J W ten Cate, Bernd‐Jan Sanson, Melvin R. Mac Gillavry, Peter M. T. Pattynama, Annette A. van den Berg‐Huysmans, Wouter de Monyé, Jouke T. Tamsma, J.J.C. Jonker and Aïda J. Azar and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Clinical Infectious Diseases and European Heart Journal.

In The Last Decade

M.V. Huisman

20 papers receiving 425 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
M.V. Huisman	223	203	106	78	71	21	454
Sergio Cannizzaro	113 0.5×	407 2.0×	70 0.7×	60 0.8×	69 1.0×	31	514
Marie‐Odile Benoit	167 0.7×	272 1.3×	122 1.2×	153 2.0×	20 0.3×	13	530
Harbans S. Wasir	57 0.3×	358 1.8×	205 1.9×	97 1.2×	48 0.7×	28	503
Stanislav Glezer	261 1.2×	232 1.1×	176 1.7×	14 0.2×	186 2.6×	17	534
Eric Neuhart	286 1.3×	427 2.1×	129 1.2×	32 0.4×	55 0.8×	13	526
David J. Rosenberg	133 0.6×	94 0.5×	92 0.9×	51 0.7×	36 0.5×	16	504
JD Banga	230 1.0×	283 1.4×	170 1.6×	23 0.3×	26 0.4×	14	446
Michael A. Weber	45 0.2×	193 1.0×	183 1.7×	46 0.6×	36 0.5×	21	459
Jean‐Claude Peyrieux	75 0.3×	202 1.0×	70 0.7×	44 0.6×	23 0.3×	16	407
P. Guillo	78 0.3×	248 1.2×	123 1.2×	62 0.8×	28 0.4×	28	513

Countries citing papers authored by M.V. Huisman

Since Specialization

Citations

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

Fields of papers citing papers by M.V. Huisman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.V. Huisman

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

All Works

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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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