H.G.J. van Mil

20 total papers · 430 total citations
14 papers, 352 citations indexed

About

H.G.J. van Mil is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, H.G.J. van Mil has authored 14 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in H.G.J. van Mil's work include Ion channel regulation and function (4 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). H.G.J. van Mil is often cited by papers focused on Ion channel regulation and function (4 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). H.G.J. van Mil collaborates with scholars based in Netherlands, Iran and Bulgaria. H.G.J. van Mil's co-authors include Michael K. Richardson, Shaukat Ali, J. Siegenbeek van Heukelom, Muhammad Ali Syed Hussein, Zarinah Waheed, Bert W. Hoeksema, Hans van Beek, R. B. King, Frans J. J. de Kanter and David J. C. Alders and has published in prestigious journals such as PLoS ONE, The Journal of Physiology and British Journal of Pharmacology.

In The Last Decade

H.G.J. van Mil

13 papers receiving 348 citations

Author Peers

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

Author Last Decade Papers Cites
H.G.J. van Mil 172 72 69 61 50 14 352
Rafael Vargas 87 0.5× 44 0.6× 76 1.1× 66 1.1× 29 0.6× 33 332
Reiko Kawase 164 1.0× 16 0.2× 113 1.6× 16 0.3× 54 1.1× 10 362
Manuela Lavorato 233 1.4× 76 1.1× 25 0.4× 67 1.1× 19 0.4× 22 317
Yoshifumi Ashikawa 162 0.9× 15 0.2× 116 1.7× 19 0.3× 56 1.1× 10 334
Minna Vainio 169 1.0× 10 0.1× 51 0.7× 58 1.0× 25 0.5× 23 372
Rui Zhang 122 0.7× 39 0.5× 20 0.3× 45 0.7× 105 2.1× 11 342
Dennis H. DiJulio 190 1.1× 17 0.2× 63 0.9× 70 1.1× 67 1.3× 20 396
J. Bonaventura 85 0.5× 13 0.2× 104 1.5× 25 0.4× 25 0.5× 14 347
Aintzane Alday 174 1.0× 147 2.0× 71 1.0× 29 0.5× 102 2.0× 12 340
Krista D. Stackley 195 1.1× 6 0.1× 90 1.3× 28 0.5× 52 1.0× 7 378

Countries citing papers authored by H.G.J. van Mil

Since Specialization
Citations

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

Fields of papers citing papers by H.G.J. van Mil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.G.J. van Mil. 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 H.G.J. van Mil. The network helps show where H.G.J. van Mil may publish in the future.

Co-authorship network of co-authors of H.G.J. van Mil

This figure shows the co-authorship network connecting the top 25 collaborators of H.G.J. van Mil. A scholar is included among the top collaborators of H.G.J. van Mil 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 H.G.J. van Mil. H.G.J. van Mil 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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