Eva Riechert

519 citations
7 papers · 204 · h-index 5

Impact in

    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms

Papers in

    • RNA modifications and cancer 3
    • RNA Research and Splicing 3
    • Ubiquitin and proteasome pathways 2
    • RNA and protein synthesis mechanisms 1
    • Ion channel regulation and function 1
    • Receptor Mechanisms and Signaling 1
    • Cholesterol and Lipid Metabolism 1

Eva Riechert

7 papers receiving 204 citations

Peers

Eva Riechert
Comparison fields: 5 of 38
  • Cancer Research 45
  • Molecular Biology 162
  • Cardiology and Cardiovascular Medicine 31
  • Physiology 6
  • Sensory Systems 6
Replace Qingqi Li with:
Qingqi Li China
Lonny Jürgensen Germany
T. Umehara United States
Dawid Lbik Germany
Ziwen Zhong China
Andrea Cocciolo Italy
Ragnar O. Vilmundarson Canada
Shiyao Wu China
Giulia Negro Austria
Antonietta D’Angelo Italy
Eva Riechert relative to Qingqi Li China Qingqi Li's profile →
Citations per field
00.5×
Qingqi Li · 1×
Citations per year

Countries citing papers authored by Eva Riechert

Since Specialization
Citations

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

Fields of papers citing papers by Eva Riechert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2019108
2 202051
3 201918
4 202112
5 202010
6 20204
7 20201

About Eva Riechert

Eva Riechert is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Sensory Systems and Electrical and Electronic Engineering, having authored 7 papers that have together received 204 indexed citations. Recurring topics across this work include RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers), Ubiquitin and proteasome pathways (2 papers), RNA and protein synthesis mechanisms (1 paper), Ion Channels and Receptors (1 paper), Cholesterol and Lipid Metabolism (1 paper), Ion channel regulation and function (1 paper) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Cancer Research (45 citations), Molecular Biology (162 citations), Cardiology and Cardiovascular Medicine (31 citations), Physiology (6 citations) and Sensory Systems (6 citations). Eva Riechert has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Hugo A. Katus, Mirko Völkers, Lonny Jürgensen, Christoph Dieterich, Etienne Boileau, Agnieszka Górska, Christoph P. Hofmann, Patrick Most, Brandon Malone and Rewati Tappu. Their work appears in journals such as Life Science Alliance, Circulation Research, Journal of Molecular and Cellular Cardiology, Frontiers in Genetics and EMBO Reports.

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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