Ute Schäfer

2.4k citations
84 papers · 1.7k · h-index 20

Impact in

Papers in

Ute Schäfer

78 papers receiving 1.7k citations

Peers

Ute Schäfer
Comparison fields: 5 of 142
  • Developmental Neuroscience 118
  • Neurology 176
  • Endocrinology 62
  • Biomaterials 155
  • Genetics 106
Replace Paolo Rama with:
Paolo Rama Italy
Seok Jong Hong United States
Blake J. Roessler United States
Jin Kim South Korea
Guokai Chen Macao
Jean–Marie Parel United States
Johan W. van Neck Netherlands
Yongxiong Chen China
Firoz Rahemtulla United States
I‐Jong Wang Taiwan
Ute Schäfer relative to Paolo Rama Italy Paolo Rama's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ute Schäfer

Since Specialization
Citations

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

Fields of papers citing papers by Ute Schäfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999194
2 2015137
3 2000116
4 200786
5 199980
6 200280
7 200775
8 201371
9 200661
10 199760
11 200553
12 202149
13 200742
14 200438
15 201738
16 200237
17 201330
18 200627
19 201621
20 201720

About Ute Schäfer

Ute Schäfer is a scholar working on Molecular Biology, Biomedical Engineering, Automotive Engineering, Epidemiology and Neurology, having authored 84 papers that have together received 1.7k indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (15 papers), Advanced ceramic materials synthesis (8 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers), Anatomy and Medical Technology (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Bone Tissue Engineering Materials (5 papers), RNA and protein synthesis mechanisms (5 papers) and Mesenchymal stem cell research (4 papers). The work is most often cited by research in Developmental Neuroscience (118 citations), Neurology (176 citations), Endocrinology (62 citations), Biomaterials (155 citations) and Genetics (106 citations). Ute Schäfer has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Konstanze Beck, Matthias Müller, Edmund Neugebauer, Hans‐Georg Koch, Marek Molčányi, Robert Seckler, Ruth Herbst, Annelie‐Martina Weinberg, Peter Rieß and Jürgen Hescheler. Their work appears in journals such as Journal of Neurotrauma, Journal of Biological Chemistry, Neuroreport, Advanced Engineering Materials and European Journal of Biochemistry.

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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