Julia Etich

824 citations
25 papers · 557 · h-index 16

Impact in

Papers in

    • Signaling Pathways in Disease 3
    • Ubiquitin and proteasome pathways 3
    • Cancer-related molecular mechanisms research 5
    • MicroRNA in disease regulation 4

Julia Etich

22 papers receiving 554 citations

Peers

Julia Etich
Comparison fields: 5 of 78
  • Rehabilitation 71
  • Cancer Research 151
  • Immunology and Allergy 44
  • Rheumatology 100
  • Molecular Biology 276
Replace Kei Kuroda with:
Kei Kuroda Japan
Daniel Kronenberg Germany
Koji Takeda Japan
Maria Antsiferova Switzerland
E. Di Marco Italy
Julian Nüchel Germany
Laura Tonachini Italy
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Xianding Sun China
Fengtao Luo China
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Citations per field
00.5×4.3×
Kei Kuroda · 1×
Citations per year

Countries citing papers authored by Julia Etich

Since Specialization
Citations

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

Fields of papers citing papers by Julia Etich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201763
2 201952
3 201048
4 202040
5 200738
6 202033
7 201033
8 201532
9 201632
10 200931
11 201730
12 201626
13 201920
14 201319
15 201718
16 201616
17 201812
18 20207
19 20254
20 20151

About Julia Etich

Julia Etich is a scholar working on Molecular Biology, Cancer Research, Rheumatology, Genetics and Epidemiology, having authored 25 papers that have together received 557 indexed citations. Recurring topics across this work include Connective tissue disorders research (5 papers), Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (4 papers), Signaling Pathways in Disease (3 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Cell Adhesion Molecules Research (3 papers), Wound Healing and Treatments (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Rehabilitation (71 citations), Cancer Research (151 citations), Immunology and Allergy (44 citations), Rheumatology (100 citations) and Molecular Biology (276 citations). Julia Etich has collaborated with scholars based in Germany, Australia and United Kingdom. Frequent co-authors include Bent Brachvogel, Frank Zaucke, Christian Frie, Manuel Koch, Ernst Pöschl, Oliver Semler, Mirko Rehberg, John F. Bateman, Daniele Belluoccio and Raimund Wagener. Their work appears in journals such as Matrix Biology, Stem Cells, Journal of Bone and Mineral Research, International Journal of Molecular Sciences and PLoS ONE.

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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