Tabea Dierker
Impact in
- Cell Biology top 10%
- Proteoglycans and glycosaminoglycans research
Papers in
-
- Glycosylation and Glycoproteins Research 8
- Hedgehog Signaling Pathway Studies 4
- Fibroblast Growth Factor Research 2
- Cell Biology 13
- Proteoglycans and glycosaminoglycans research 13
- Co-authors
- Kay Grobe (4 shared papers)Rita Dreier (4 shared papers)Lena Kjellén (9 shared papers)Arnd Petersen (1 shared paper)Ute Pickhinke (2 shared papers)Susanne Höing (2 shared papers)Pershang Farshi (2 shared papers)Stefanie Ohlig (2 shared papers)
- Journals
- Journal of Biological Chemistry (5 papers)Matrix Biology (2 papers)Developmental Cell (1 paper)Biochemical and Biophysical Research Communications (1 paper)Glycobiology (1 paper)
- Partner nations
- SwedenGermanyUnited States
In The Last Decade
Tabea Dierker
15 papers receiving 370 citations
Peers
Comparison fields: 5 of 63
- Cell Biology 160
- Aging 8
- Molecular Biology 288
- Immunology and Allergy 17
- Genetics 75
Countries citing papers authored by Tabea Dierker
This map shows the geographic impact of Tabea Dierker'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 Tabea Dierker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tabea Dierker more than expected).
Fields of papers citing papers by Tabea Dierker
This network shows the impact of papers produced by Tabea Dierker. 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 Tabea Dierker. The network helps show where Tabea Dierker may publish in the future.
Co-authors
The 25 scholars most cited alongside Tabea Dierker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 82 | |
| 2 | 2011 | 65 | |
| 3 | 2011 | 41 | |
| 4 | 2009 | 33 | |
| 5 | 2016 | 33 | |
| 6 | 2017 | 28 | |
| 7 | 2015 | 16 | |
| 8 | 2016 | 15 | |
| 9 | 2015 | 14 | |
| 10 | 2020 | 12 | |
| 11 | 2022 | 10 | |
| 12 | 2014 | 9 | |
| 13 | 2014 | 8 | |
| 14 | 2022 | 3 | |
| 15 | 2021 | 3 |
About Tabea Dierker
Tabea Dierker is a scholar working on Molecular Biology, Cell Biology, Organic Chemistry, Food Science and Cancer Research, having authored 15 papers that have together received 372 indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (13 papers), Glycosylation and Glycoproteins Research (8 papers), Hedgehog Signaling Pathway Studies (4 papers), Protease and Inhibitor Mechanisms (2 papers), Fibroblast Growth Factor Research (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), Marine Biology and Environmental Chemistry (1 paper) and Osteoarthritis Treatment and Mechanisms (1 paper). The work is most often cited by research in Cell Biology (160 citations), Aging (8 citations), Molecular Biology (288 citations), Immunology and Allergy (17 citations) and Genetics (75 citations). Tabea Dierker has collaborated with scholars based in Sweden, Germany and United States. Frequent co-authors include Kay Grobe, Rita Dreier, Lena Kjellén, Arnd Petersen, Ute Pickhinke, Susanne Höing, Pershang Farshi, Stefanie Ohlig, Inger Eriksson and Daniel Hoffmann. Their work appears in journals such as Journal of Biological Chemistry, Matrix Biology, Developmental Cell, Biochemical and Biophysical Research Communications and Glycobiology.
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.