Katja Neugebauer

1.5k citations
10 papers · 1.3k indexed · 1 hit paper · h-index 6
Topics
Osteoarthritis Treatment and Mechanisms (5 papers)Cell Adhesion Molecules Research (4 papers)Proteoglycans and glycosaminoglycans research (3 papers)

In The Last Decade

Katja Neugebauer

10 papers receiving 1.3k citations

Hit Papers

EGCG remodels mature α-synuclein and amyloid-β fibrils an...20102026201520202010250500750

Peers

Katja Neugebauer
Comparison fields: 5 of 95
  • Physiology 563
  • Molecular Biology 467
  • Rheumatology 246
  • Neurology 218
  • Pharmacology 177
Replace Chia‐Ron Yang with:
Chia‐Ron Yang Taiwan
Caiping Chen China
Chunfen Mo China
Harcharan K. Rooprai United Kingdom
Song Jin China
Song Xu China
Anna Shteinfer‐Kuzmine Israel
Jardena Nordenberg Israel
Xianghai Liao United States
Yuan Du China
Katja Neugebauer relative to Chia‐Ron Yang Taiwan Chia‐Ron Yang's profile →
Citations per field
00.5×5.5×
Chia‐Ron Yang · 1×
Citations per year

Countries citing papers authored by Katja Neugebauer

Since Specialization
Citations

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

Fields of papers citing papers by Katja Neugebauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Neugebauer

This figure shows the co-authorship network connecting the top 25 collaborators of Katja Neugebauer. A scholar is included among the top collaborators of Katja Neugebauer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Katja Neugebauer. Katja Neugebauer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 2
2 1
3 2
4
EGCG remodels mature α-synuclein and amyloid-β fibrils and reduces cellular toxicitybreakdown →
853
5 265
6 9
7 78
8 62
9 26
10 1

About Katja Neugebauer

Katja Neugebauer is a scholar working on Immunology and Allergy, Rheumatology and Cell Biology, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (5 papers), Cell Adhesion Molecules Research (4 papers) and Proteoglycans and glycosaminoglycans research (3 papers). The work is most often cited by research in Physiology (563 citations), Rheumatology (246 citations) and Biological Psychiatry (39 citations). Katja Neugebauer has collaborated with scholars based in Germany, Austria and Netherlands. Frequent co-authors include Dagmar E. Ehrnhoefer, Erich E. Wanker, Jan Bieschke, Jenny Russ, Ralf P. Friedrich, Heike J. Wobst, Thomas Pap, Ingmar Meinecke, Frank Echtermeyer and Christine Herzog. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and The FASEB Journal.

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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