Monika Leicht

567 citations
11 papers · 479 indexed · h-index 10
Topics
Cardiac Fibrosis and Remodeling (5 papers)Signaling Pathways in Disease (5 papers)Peptidase Inhibition and Analysis (3 papers)
Partner nations
Germany

In The Last Decade

Monika Leicht

11 papers receiving 476 citations

Peers

Monika Leicht
Comparison fields: 5 of 74
  • Cardiology and Cardiovascular Medicine 243
  • Molecular Biology 225
  • Surgery 71
  • Oncology 63
  • Cancer Research 54
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Regine Potthast Germany
Charity Fix United States
Xiangguo Dai United States
A. Gessi Italy
Qiaoqing Zhong China
Adrienne N. Harris United States
Yasushi Aihara Japan
Linyuan Wang Canada
Kazuyuki Yanai Japan
Wei Meng China
Monika Leicht relative to Regine Potthast Germany Regine Potthast's profile →
Citations per field
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Citations per year

Countries citing papers authored by Monika Leicht

Since Specialization
Citations

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

Fields of papers citing papers by Monika Leicht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monika Leicht

This figure shows the co-authorship network connecting the top 25 collaborators of Monika Leicht. A scholar is included among the top collaborators of Monika Leicht 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 Monika Leicht. Monika Leicht is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 53
2 12
3 27
4 12
5
Catecholamine-induced cardiac hypertrophy in rats is associated with the activation of p70 kinase and c-Jun NH(2)-terminal kinase 2.
3
6 168
7 33
8 70
9 54
10 18
11
Okadaic acid induces cellular hypertrophy in AKR-2B fibroblasts: involvement of the p70S6 kinase in the onset of protein and rRNA synthesis.
29

About Monika Leicht

Monika Leicht is a scholar working on Cancer Research, Cardiology and Cardiovascular Medicine and Oncology, having authored 11 papers that have together received 479 indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (5 papers), Signaling Pathways in Disease (5 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (243 citations), Reproductive Medicine (52 citations) and Cancer Research (54 citations). Monika Leicht has collaborated with scholars based in Germany. Frequent co-authors include Heinz‐Gerd Zimmer, Alexander Deten, Wilfried Barth, Alexander Hölzl, Uwe Paasch, H.‐J. Glander, Mario Bauer, Jürgen Hoppe, Andreas Simm and Wilfried Briest. Their work appears in journals such as Cardiovascular Research, Experimental Cell Research and Journal of Molecular and Cellular 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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