Dietmar Bächner

1.7k citations
23 papers · 1.4k · h-index 19

Impact in

Papers in

    • Receptor Mechanisms and Signaling 4
    • Genomics and Chromatin Dynamics 4
    • Wnt/β-catenin signaling in development and cancer 3
    • Cellular transport and secretion 4
    • Microtubule and mitosis dynamics 3

Dietmar Bächner

23 papers receiving 1.3k citations

Peers

Dietmar Bächner
Comparison fields: 5 of 86
  • Endocrine and Autonomic Systems 179
  • Cellular and Molecular Neuroscience 372
  • Cell Biology 215
  • Molecular Biology 897
  • Nutrition and Dietetics 177
Replace Tiansheng Shen with:
Tiansheng Shen United States
Marijana Samardzija Switzerland
Neena B. Haider United States
Andrew J. H. Smith United Kingdom
Maria A. Musarella Canada
Pierluigi Baron Italy
Ya‐Lin Huang Germany
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Citations per field
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Citations per year

Countries citing papers authored by Dietmar Bächner

Since Specialization
Citations

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

Fields of papers citing papers by Dietmar Bächner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996252
2 1999169
3 1999124
4 199974
5 200271
6 200062
7 199861
8 199860
9 199558
10 199651
11 199550
12 200248
13 199543
14 200241
15 199838
16 200432
17 200630
18 199930
19 199727
20 200017

About Dietmar Bächner

Dietmar Bächner is a scholar working on Molecular Biology, Cell Biology, Endocrine and Autonomic Systems, Nutrition and Dietetics and Genetics, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cellular transport and secretion (4 papers), Receptor Mechanisms and Signaling (4 papers), Regulation of Appetite and Obesity (4 papers), Genomics and Chromatin Dynamics (4 papers), Microtubule and mitosis dynamics (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Biochemical Analysis and Sensing Techniques (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (179 citations), Cellular and Molecular Neuroscience (372 citations), Cell Biology (215 citations), Molecular Biology (897 citations) and Nutrition and Dietetics (177 citations). Dietmar Bächner has collaborated with scholars based in Germany, Netherlands and United Kingdom. Frequent co-authors include Dietmar Richter, Hans‐Jürgen Kreienkamp, Gerhard Groß, H. Hameister, Dietmar Schröder, Friedrich Buck, Christoph Weise, Bé Wieringa, Marion Ahrens and Annemarie Poustka. Their work appears in journals such as Journal of Biological Chemistry, Mechanisms of Development, Human Molecular Genetics, Developmental Dynamics and FEBS Letters.

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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