Tibor Kempf

10.7k citations
104 papers · 8.1k indexed · 3 hit papers · h-index 49

Impact in

  • Rheumatology top 0.05%
    • GDF15 and Related Biomarkers
  • Immunology top 0.5%
    • Macrophage Migration Inhibitory Factor

Papers in

Tibor Kempf

101 papers receiving 8.0k citations

Hit Papers

Growth Differentiation Factor 15 as a Biomarker in Cardiovascular Disease 2016 · 411 citations
4112006202620122019100200300400500

Peers

Tibor Kempf
Comparison fields: 5 of 126
  • Rheumatology 4.2k
  • Immunology 2.9k
  • Cardiology and Cardiovascular Medicine 3.0k
  • Physiology 3.1k
  • Internal Medicine 148
Replace Kai C. Wollert with:
Kai C. Wollert Germany
Fujío Numano Japan
Christophe Guignabert France
Andrea Frustaci Italy
Wenche Jy United States
Daniel T. Eitzman United States
Stephan Fichtlscherer Germany
Anne Grete Semb Norway
Yeon S. Ahn United States
Toshiji Iwasaka Japan
Tibor Kempf relative to Kai C. Wollert Germany Kai C. Wollert's profile →
Citations per field
00.5×1.5×
Kai C. Wollert · 1×
Citations per year

Countries citing papers authored by Tibor Kempf

Since Specialization
Citations

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

Fields of papers citing papers by Tibor Kempf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 202411
3 202313
4 202317
5 202210
6 20222
7 20205
8 202036
9 201826
10 201613
11 20167
12 201655
13 201331
14 2011320
15 201085
16 200966
17 2008113
18 2008135
19 2007189
20 20063

About Tibor Kempf

Tibor Kempf is a scholar working on Rheumatology, Cardiology and Cardiovascular Medicine, Physiology, Immunology and Critical Care and Intensive Care Medicine, having authored 104 papers that have together received 8.1k indexed citations. Recurring topics across this work include GDF15 and Related Biomarkers (51 papers), Nutrition and Health in Aging (38 papers), Macrophage Migration Inhibitory Factor (25 papers), Heart Failure Treatment and Management (17 papers), Cardiac Fibrosis and Remodeling (10 papers), Cardiac Valve Diseases and Treatments (8 papers), Apelin-related biomedical research (7 papers) and Cardiac Structural Anomalies and Repair (7 papers). The work is most often cited by research in Rheumatology (4.2k citations), Immunology (2.9k citations), Cardiology and Cardiovascular Medicine (3.0k citations), Physiology (3.1k citations) and Internal Medicine (148 citations). Tibor Kempf has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Kai C. Wollert, Lars Wallentin, Helmut Drexler, Timo Peter, Tim Allhoff, Bertil Lindahl, Christian Widera, Johann Bauersachs, Jörn Tongers and Mortimer Korf‐Klingebiel. Their work appears in journals such as Clinical Chemistry, European Heart Journal, Circulation, European Journal of Heart Failure and International Journal of Cardiology.

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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