Mark P.S. Sie

1.1k citations
10 papers · 350 · h-index 7

Impact in

Papers in

Mark P.S. Sie

9 papers receiving 327 citations

Peers

Mark P.S. Sie
Comparison fields: 5 of 46
  • Obstetrics and Gynecology 123
  • Pediatrics, Perinatology and Child Health 83
  • Cardiology and Cardiovascular Medicine 88
  • Immunology 51
  • Epidemiology 44
Replace Toshihiko Terao with:
Toshihiko Terao Japan
Stefan Jirecek Austria
Efser Öztaş Türkiye
Sho Tano Japan
P. Puerstner Austria
Nataša Karadžov Orlić Serbia
Kathleen A. Jones United States
Rina Akaishi Japan
S. Dendrinos Greece
Balázs Stenczer Hungary
Mark P.S. Sie relative to Toshihiko Terao Japan Toshihiko Terao's profile →
Citations per field
00.5×2.6×
Toshihiko Terao · 1×
Citations per year

Countries citing papers authored by Mark P.S. Sie

Since Specialization
Citations

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

Fields of papers citing papers by Mark P.S. Sie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark P.S. Sie. 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 Mark P.S. Sie. The network helps show where Mark P.S. Sie may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark P.S. Sie, 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 Mark P.S. Sie Line = papers co-authored together Mark P.S. Sie links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2008151
2 200586
3 200658
4 200715
5 200914
6 200913
7 200710
8 20082
9 20241
10 20250

About Mark P.S. Sie

Mark P.S. Sie is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Oncology, Epidemiology and Molecular Biology, having authored 10 papers that have together received 350 indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Renin-Angiotensin System Studies (2 papers), Gestational Diabetes Research and Management (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Blood properties and coagulation (1 paper), Clusterin in disease pathology (1 paper) and Blood Pressure and Hypertension Studies (1 paper). The work is most often cited by research in Obstetrics and Gynecology (123 citations), Pediatrics, Perinatology and Child Health (83 citations), Cardiology and Cardiovascular Medicine (88 citations), Immunology (51 citations) and Epidemiology (44 citations). Mark P.S. Sie has collaborated with scholars based in Netherlands, France and United States. Frequent co-authors include Cornelia M. van Duijn, André G. Uitterlinden, Jacqueline C.M. Witteman, Ben A. Oostra, R. Heydanus, Eric J.G. Sijbrands, Eric A.P. Steegers, Christianne J.M. de Groot, Hok-Hay S. Oei and Fakhredin A. Sayed‐Tabatabaei. Their work appears in journals such as Journal of Human Hypertension, Arteriosclerosis Thrombosis and Vascular Biology, Stroke, Journal of Hypertension and Clinical and Experimental Hypertension.

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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