Ute Scheffer

861 citations
35 papers · 740 · h-index 14

Impact in

Papers in

    • DNA and Nucleic Acid Chemistry 9
    • RNA and protein synthesis mechanisms 8
    • RNA Interference and Gene Delivery 2
    • Electron Spin Resonance Studies 3

Ute Scheffer

33 papers receiving 697 citations

Peers

Ute Scheffer
Comparison fields: 5 of 53
  • Computational Theory and Mathematics 115
  • Organic Chemistry 220
  • Biotechnology 46
  • Molecular Biology 349
  • Virology 20
Replace Wilhelm Stark with:
Wilhelm Stark Switzerland
Jongsik Gam South Korea
Evon Winborne United States
Seved Lövgren Sweden
I.-N. Hsu United States
Sharon L. Guffy United States
Jane A. Grasby United Kingdom
B. Veerapandian United States
Eric R. Goedken United States
Tinoush Moulaei United States
Ute Scheffer relative to Wilhelm Stark Switzerland Wilhelm Stark's profile →
Citations per field
00.5×1.5×2×2.5×
Wilhelm Stark · 1×
Citations per year

Countries citing papers authored by Ute Scheffer

Since Specialization
Citations

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

Fields of papers citing papers by Ute Scheffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005109
2 202179
3 200678
4 200275
5 199644
6 200741
7 200539
8 201439
9 201826
10 199725
11 199323
12 200723
13 201118
14 200715
15 201914
16 200812
17 199611
18 20169
19 20078
20 19977

About Ute Scheffer

Ute Scheffer is a scholar working on Molecular Biology, Biophysics, Instrumentation, Computational Theory and Mathematics and Organic Chemistry, having authored 35 papers that have together received 740 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (9 papers), RNA and protein synthesis mechanisms (8 papers), Chemical Reaction Mechanisms (5 papers), Computational Drug Discovery Methods (5 papers), Electron Spin Resonance Studies (3 papers), Astronomy and Astrophysical Research (3 papers), Stellar, planetary, and galactic studies (3 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Computational Theory and Mathematics (115 citations), Organic Chemistry (220 citations), Biotechnology (46 citations), Molecular Biology (349 citations) and Virology (20 citations). Ute Scheffer has collaborated with scholars based in Germany, Belarus and Hungary. Frequent co-authors include Michael Göbel, Wernér E.G. Müller, Zeev Pancer, Sven Klußmann, Gisbert Schneider, Stefan Vonhoff, Heike Schäcke, Paolo Scrimin, Alessandro Scarso and Claudio Toniolo. Their work appears in journals such as ChemBioChem, Chemistry - A European Journal, Helvetica Chimica Acta, Journal of the American Chemical Society and Mechanisms of Ageing and Development.

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.

Explore authors with similar magnitude of impact