Tabea Dierker

505 citations
15 papers · 385 · h-index 11

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 8
    • Hedgehog Signaling Pathway Studies 4
    • Fibroblast Growth Factor Research 2
    • Proteoglycans and glycosaminoglycans research 13

Tabea Dierker

15 papers receiving 383 citations

Peers

Tabea Dierker
Comparison fields: 5 of 64
  • Cell Biology 164
  • Aging 8
  • Molecular Biology 299
  • Immunology and Allergy 21
  • Genetics 79
Replace Suresh Marada with:
Suresh Marada United States
Adam M. Saunders United States
М. В. Шепелев Russia
Arjun Guha United States
Zhili Wu China
Julie Miro France
Nam Sung Moon United States
Keisuke Onishi Japan
Xiaochu Chen United States
Sean Porazinski United Kingdom
Tabea Dierker relative to Suresh Marada United States Suresh Marada's profile →
Citations per field
00.5×4.2×
Suresh Marada · 1×
Citations per year

Countries citing papers authored by Tabea Dierker

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Tabea Dierker Line = papers co-authored together Tabea Dierker links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 200985
2 201166
3 201142
4 200936
5 201634
6 201730
7 201517
8 201616
9 201514
10 202012
11 202210
12 20149
13 20148
14 20223
15 20213

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 385 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 (164 citations), Aging (8 citations), Molecular Biology (299 citations), Immunology and Allergy (21 citations) and Genetics (79 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, Stefanie Ohlig, Ute Pickhinke, Pershang Farshi, Susanne Höing, Inger Eriksson and Daniel Hoffmann. Their work appears in journals such as Journal of Biological Chemistry, Matrix Biology, PLoS ONE, Biochemical and Biophysical Research Communications and Scientific 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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