Daniela Wenzel

5.6k citations
105 papers · 3.0k · h-index 28

Impact in

    • MicroRNA in disease regulation
    • Extracellular vesicles in disease
    • Heat shock proteins research
    • Ion channel regulation and function
    • Angiogenesis and VEGF in Cancer

Papers in

Daniela Wenzel

100 papers receiving 2.9k citations

Peers

Daniela Wenzel
Comparison fields: 5 of 144
  • Cancer Research 345
  • Molecular Biology 1.5k
  • Cardiology and Cardiovascular Medicine 410
  • Cell Biology 329
  • Aging 35
Replace Regina M. Day with:
Regina M. Day United States
Jianli Wang China
Hideo Toyoshima Japan
Monique Bernard France
Christoph Hübner Germany
Anne Roivainen Finland
Victor Rizzo United States
Tetsuro Takamatsu Japan
Takashi Fujiwara Japan
Nobuteru Usuda Japan
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Citations per field
00.5×1.7×
Regina M. Day · 1×
Citations per year

Countries citing papers authored by Daniela Wenzel

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Wenzel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010435
2 2013373
3 2006131
4 2017110
5 2009105
6 200883
7 201461
8 200659
9 201458
10 201654
11 201352
12 201350
13 201850
14 201750
15 201645
16 201544
17 201744
18 200443
19 201442
20 201637

About Daniela Wenzel

Daniela Wenzel is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 105 papers that have together received 3.0k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (12 papers), Receptor Mechanisms and Signaling (7 papers), Cardiac electrophysiology and arrhythmias (6 papers), Congenital heart defects research (6 papers), Cell Adhesion Molecules Research (6 papers), Cardiac Ischemia and Reperfusion (6 papers), Ionosphere and magnetosphere dynamics (5 papers) and Pulmonary Hypertension Research and Treatments (5 papers). The work is most often cited by research in Cancer Research (345 citations), Molecular Biology (1.5k citations), Cardiology and Cardiovascular Medicine (410 citations), Cell Biology (329 citations) and Aging (35 citations). Daniela Wenzel has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include Bernd K. Fleischmann, Georg Nickenig, Nikos Werner, Sarah Vosen, Michael Hesse, Dieter O. Fürst, Jörg Höhfeld, Theresa Schmitz, Xiaoyan Yang and Bernardo S. Franklin. Their work appears in journals such as Toxicology, The FASEB Journal, International Journal of Cardiology, Proceedings of the National Academy of Sciences and Pharmaceutical Research.

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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