Janusz Siebert

135 papers receiving 1.9k citations

Peers

Janusz Siebert
Comparison fields: 5 of 134
  • Immunology 498
  • Cardiology and Cardiovascular Medicine 293
  • Genetics 265
  • Endocrinology, Diabetes and Metabolism 133
  • Surgery 345
Replace Ulrich Hermann Frey with:
Ulrich Hermann Frey Germany
Takeshi Kuroda Japan
Edward Needham United Kingdom
David Justin Wright United Kingdom
Raffaele Iorio Italy
Shigeki Yamada Japan
Tokujiro Uchida Japan
Peter Härle Germany
Sandrine Guis France
Justin Geoghegan Ireland
Janusz Siebert relative to Ulrich Hermann Frey Germany Ulrich Hermann Frey's profile →
Citations per field
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Ulrich Hermann 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 2014325
2 201693
3 201388
4 199578
5 202264
6 200964
7 200051
8 200151
9 202245
10 200740
11 201539
12 201637
13 201837
14 201536
15 200134
16 202134
17 201433
18
High serum interleukin-18 concentrations in patients with coronary artery disease and type 2 diabetes mellitus.
200530
19 201726
20 201525

About Janusz Siebert

Janusz Siebert is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Immunology, Epidemiology and Surgery, having authored 154 papers that have together received 2.0k indexed citations. Recurring topics across this work include Infrared Thermography in Medicine (10 papers), Diabetes and associated disorders (9 papers), Hemodynamic Monitoring and Therapy (8 papers), Nutrition and Health Studies (8 papers), Angiogenesis and VEGF in Cancer (8 papers), Electrical and Bioimpedance Tomography (7 papers), Non-Invasive Vital Sign Monitoring (6 papers) and Blood Pressure and Hypertension Studies (5 papers). The work is most often cited by research in Immunology (498 citations), Cardiology and Cardiovascular Medicine (293 citations), Genetics (265 citations), Endocrinology, Diabetes and Metabolism (133 citations) and Surgery (345 citations). Janusz Siebert has collaborated with scholars based in Poland, United States and Pakistan. Frequent co-authors include Natalia Maria Marek-Trzonkowska, Piotr Trzonkowski, Jan A. Rogowski, Jolanta M. Myśliwska, Małgorzata Myśliwiec, Radosław Owczuk, Wojciech Michal Mlynarski, Przemysława Jarosz‐Chobot, Agnieszka Szadkowska and Artur Tadeusz Bossowski. Their work appears in journals such as Journal of Human Hypertension, European Journal of Cardio-Thoracic Surgery, Microvascular Research, Lupus and Diabetes Care.

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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