Janusz Siebert

2.5k citations
154 papers · 1.9k · h-index 23

Impact in

Papers in

Janusz Siebert

132 papers receiving 1.8k citations

Peers

Janusz Siebert
Comparison fields: 5 of 134
  • Immunology 465
  • Cardiology and Cardiovascular Medicine 281
  • Genetics 233
  • Surgery 321
  • Endocrinology, Diabetes and Metabolism 120
Replace Ulrich H. Frey with:
Ulrich H. Frey Germany
Takahisa Kawaguchi Japan
Jacky Y. Suen Australia
Katsuhito Fujiu Japan
Richard J. Barohn United States
Erik Fung Hong Kong
Damien Bennett United Kingdom
Michael Lichtenauer Austria
Carmen Pizzorni Italy
Justin Geoghegan Ireland
Janusz Siebert relative to Ulrich H. Frey Germany Ulrich H. Frey's profile →
Citations per field
00.5×1.5×2.4×
Ulrich H. Frey · 1×
Citations per year

Countries citing papers authored by Janusz Siebert

Since Specialization
Citations

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

Fields of papers citing papers by Janusz Siebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014306
2 201688
3 201387
4 199578
5 202261
6 200960
7 200051
8 200148
9 202240
10 201538
11 200736
12 201636
13 201535
14 200134
15 201833
16 201433
17 202130
18
High serum interleukin-18 concentrations in patients with coronary artery disease and type 2 diabetes mellitus.
200530
19 201524
20 200524

About Janusz Siebert

Janusz Siebert is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 154 papers that have together received 1.9k indexed citations. Recurring topics across this work include Infrared Thermography in Medicine (10 papers), Angiogenesis and VEGF in Cancer (9 papers), Hemodynamic Monitoring and Therapy (8 papers), Nutrition and Health Studies (8 papers), Diabetes and associated disorders (7 papers), Electrical and Bioimpedance Tomography (7 papers), Non-Invasive Vital Sign Monitoring (6 papers) and Heart Rate Variability and Autonomic Control (6 papers). The work is most often cited by research in Immunology (465 citations), Cardiology and Cardiovascular Medicine (281 citations), Genetics (233 citations), Surgery (321 citations) and Endocrinology, Diabetes and Metabolism (120 citations). Janusz Siebert has collaborated with scholars based in Poland, United States and Germany. Frequent co-authors include Natalia Marek-Trzonkowska, Piotr Trzonkowski, Jan Rogowski, Jolanta Myśliwska, Małgorzata Myśliwiec, Radosław Owczuk, Przemysława Jarosz‐Chobot, Agnieszka Szadkowska, Wojciech Młynarski and Artur Bossowski. Their work appears in journals such as Journal of Human Hypertension, European Journal of Cardio-Thoracic Surgery, Microvascular Research, ESC Heart Failure and Archives of Medical Science.

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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