Janika Viereck

4.3k total citations · 2 hit papers
21 papers, 2.7k citations indexed

About

Janika Viereck is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Janika Viereck has authored 21 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Cancer Research and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Janika Viereck's work include MicroRNA in disease regulation (10 papers), Cardiac Fibrosis and Remodeling (5 papers) and Cancer-related molecular mechanisms research (5 papers). Janika Viereck is often cited by papers focused on MicroRNA in disease regulation (10 papers), Cardiac Fibrosis and Remodeling (5 papers) and Cancer-related molecular mechanisms research (5 papers). Janika Viereck collaborates with scholars based in Germany, United Kingdom and Austria. Janika Viereck's co-authors include Thomas Thum, Sándor Bátkai, Karsten Krüger, Frank C. Mooren, Ariana Foinquinos, Karina Zimmer, Steffen Rump, Ankita Garg, Janet Remke and Shashi Kumar Gupta and has published in prestigious journals such as Circulation, Physiological Reviews and Circulation Research.

In The Last Decade

Janika Viereck

20 papers receiving 2.7k citations

Hit Papers

Non-coding RNAs in Development and Disease: Background, M... 2016 2026 2019 2022 2016 2020 400 800 1.2k

Peers

Janika Viereck
Comparison fields: 5 of 110
  • Molecular Biology 2.1k
  • Cancer Research 2.0k
  • Cardiology and Cardiovascular Medicine 393
  • Immunology 145
  • Surgery 131
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Valérie Metzinger‐Le Meuth France
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Citations per field, relative to Janika Viereck
Janika Viereck · 1×
Citations per year, relative to Janika Viereck
Janika Viereck · 1×

Countries citing papers authored by Janika Viereck

Since Specialization
Citations

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

Fields of papers citing papers by Janika Viereck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janika Viereck

This figure shows the co-authorship network connecting the top 25 collaborators of Janika Viereck. A scholar is included among the top collaborators of Janika Viereck based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Janika Viereck. Janika Viereck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 27
4 1
5 5
6 28
7 1
8 1
9 13
10
Novel antisense therapy targeting microRNA-132 in patients with heart failure: results of a first-in-human Phase 1b randomized, double-blind, placebo-controlled study breakdown →
266
11 108
12 13
13 270
14 34
15 300
16
Non-coding RNAs in Development and Disease: Background, Mechanisms, and Therapeutic Approaches breakdown →
1387
17 9
18 52
19 19
20 1

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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