Miriam Eichner

438 citations
11 papers · 334 · h-index 10

Impact in

  • Neurology top 5%
    • Barrier Structure and Function Studies
    • Neurological Disease Mechanisms and Treatments
    • Clostridium difficile and Clostridium perfringens research

Papers in

    • Gut microbiota and health 5
    • Connexins and lens biology 2
    • S100 Proteins and Annexins 1
    • Barrier Structure and Function Studies 7

Miriam Eichner

11 papers receiving 332 citations

Peers

Miriam Eichner
Comparison fields: 5 of 63
  • Neurology 182
  • Infectious Diseases 43
  • Pharmaceutical Science 14
  • Molecular Biology 136
  • Biotechnology 17
Replace Anna Piontek with:
Anna Piontek Germany
Joseph B. J. Ward Ireland
Malvina Pizzuto Belgium
Greta Volpedo United States
Katarzyna Wicherska‐Pawłowska Poland
Namrata Tomar United States
Haoxin Zhao China
CA Parkos United States
Martin Marônek Slovakia
Simon Eaglestone United Kingdom
Miriam Eichner relative to Anna Piontek Germany Anna Piontek's profile →
Citations per field
00.5×1.5×
Anna Piontek · 1×
Citations per year

Countries citing papers authored by Miriam Eichner

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Eichner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201652
2 201849
3 201447
4 201745
5 201636
6 201733
7 201924
8 202024
9 201713
10 201910
11 20021

About Miriam Eichner

Miriam Eichner is a scholar working on Molecular Biology, Neurology, Infectious Diseases, Surgery and Pediatrics, Perinatology and Child Health, having authored 11 papers that have together received 334 indexed citations. Recurring topics across this work include Barrier Structure and Function Studies (7 papers), Gut microbiota and health (5 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Connexins and lens biology (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper), S100 Proteins and Annexins (1 paper), Atomic and Subatomic Physics Research (1 paper) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Neurology (182 citations), Infectious Diseases (43 citations), Pharmaceutical Science (14 citations), Molecular Biology (136 citations) and Biotechnology (17 citations). Miriam Eichner has collaborated with scholars based in Germany, Austria and China. Frequent co-authors include Jörg Piontek, Anna Piontek, Gerd Krause, Jonas Protze, Roland Bücker, Jörg–Dieter Schulzke, Dorothee Günzel, Wolfgang Walther, Jan Rossa and Anne Mahringer. Their work appears in journals such as Molecular Oncology, The Journal of Infectious Diseases, Neuroscience, Pflügers Archiv - European Journal of Physiology and Cellular and Molecular Life Sciences.

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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