Johannes Eichner

1.2k citations
21 papers · 522 · h-index 14

Impact in

Papers in

    • Bioinformatics and Genomic Networks 7
    • Gene expression and cancer classification 7
    • Epigenetics and DNA Methylation 5
    • RNA and protein synthesis mechanisms 4
    • Microbial Metabolic Engineering and Bioproduction 4
    • Genomics and Chromatin Dynamics 3
    • RNA modifications and cancer 3

Johannes Eichner

21 papers receiving 516 citations

Peers

Johannes Eichner
Comparison fields: 5 of 70
  • Cancer Research 182
  • Reproductive Medicine 49
  • Molecular Biology 391
  • Genetics 66
  • Oncology 57
Replace Allen Chong with:
Allen Chong Singapore
Stéfanie Schneider Germany
Revathy Nadhan United States
James A. Dowdle United States
Junfeng Shi China
Magda Altmann United States
Qianhui Dou United States
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Xin Zou China
Sweta Sharma Saha India
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Citations per field
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Citations per year

Countries citing papers authored by Johannes Eichner

Since Specialization
Citations

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

Fields of papers citing papers by Johannes Eichner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017114
2 201868
3 201750
4 201436
5 201434
6 201426
7 201223
8 201223
9 201521
10 201320
11 201118
12 201615
13 201415
14 201213
15 201312
16 201010
17 20149
18 20126
19 20145
20 20153

About Johannes Eichner

Johannes Eichner is a scholar working on Molecular Biology, Cancer Research, Computational Theory and Mathematics, Oncology and Surgery, having authored 21 papers that have together received 522 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Gene expression and cancer classification (7 papers), Epigenetics and DNA Methylation (5 papers), RNA and protein synthesis mechanisms (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Computational Drug Discovery Methods (3 papers), Genomics and Chromatin Dynamics (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cancer Research (182 citations), Reproductive Medicine (49 citations), Molecular Biology (391 citations), Genetics (66 citations) and Oncology (57 citations). Johannes Eichner has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Andreas Zell, Clemens Wrzodek, Andreas Dräger, Michael Römer, Finja Büchel, Harri Lempiäinen, Martin Widschwendter, Allison Jones, Shohreh Ghazali and Andy Ryan. Their work appears in journals such as PLoS ONE, Bioinformatics, Genome Medicine, Biosystems and BMC Systems Biology.

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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