Sakari Simula

30 total papers · 842 total citations
22 papers, 618 citations indexed

About

Sakari Simula is a scholar working on Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Sakari Simula has authored 22 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pathology and Forensic Medicine, 12 papers in Cardiology and Cardiovascular Medicine and 7 papers in Molecular Biology. Recurrent topics in Sakari Simula's work include Multiple Sclerosis Research Studies (12 papers), Cardiac electrophysiology and arrhythmias (6 papers) and Heart Rate Variability and Autonomic Control (5 papers). Sakari Simula is often cited by papers focused on Multiple Sclerosis Research Studies (12 papers), Cardiac electrophysiology and arrhythmias (6 papers) and Heart Rate Variability and Autonomic Control (5 papers). Sakari Simula collaborates with scholars based in Finland, New Zealand and Germany. Sakari Simula's co-authors include Juha Hartikainen, Esko Vanninen, Mikko Syvänne, Markku Laakso, Antti Hedman, Keijo Peuhkurinen, Marja Hedman, Arto Rantala, Hanna Mussalo and Seppo Ylä‐Herttuala and has published in prestigious journals such as Circulation, Nephrology Dialysis Transplantation and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

Sakari Simula

22 papers receiving 608 citations

Author Peers

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

Author						Papers	Cites
Sakari Simula	330	213	165	84	83	22	618
Shiro Nozaki	345 1.0×	285 1.3×	154 0.9×	27 0.3×	108 1.3×	29	642
Hideyuki Kurioka	262 0.8×	84 0.4×	132 0.8×	90 1.1×	36 0.4×	17	698
Bangliang Yin	313 0.9×	87 0.4×	208 1.3×	96 1.1×	23 0.3×	39	658
Alexander Schuh	211 0.6×	191 0.9×	158 1.0×	50 0.6×	36 0.4×	24	522
Lauro M Takeuchi	256 0.8×	161 0.8×	123 0.7×	21 0.3×	41 0.5×	22	501
Johanna Lähteenvuo	326 1.0×	95 0.4×	176 1.1×	33 0.4×	50 0.6×	13	669
Sachin S. Vaikunth	231 0.7×	128 0.6×	124 0.8×	24 0.3×	111 1.3×	16	593
M. A. Sharmini Rajanayagam	346 1.0×	111 0.5×	186 1.1×	26 0.3×	35 0.4×	13	568
Ilaria Lapini	202 0.6×	176 0.8×	114 0.7×	54 0.6×	121 1.5×	19	581
Mariangela Scalise	367 1.1×	171 0.8×	228 1.4×	35 0.4×	21 0.3×	29	685

Countries citing papers authored by Sakari Simula

Since Specialization

Citations

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

Fields of papers citing papers by Sakari Simula

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sakari Simula

This figure shows the co-authorship network connecting the top 25 collaborators of Sakari Simula. A scholar is included among the top collaborators of Sakari Simula 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 Sakari Simula. Sakari Simula 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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