A. Aufderheide

916 citations
10 papers · 714 · h-index 9

Impact in

Papers in

    • Ubiquitin and proteasome pathways 6
    • Glycosylation and Glycoproteins Research 3
    • Endoplasmic Reticulum Stress and Disease 4

A. Aufderheide

10 papers receiving 712 citations

Peers

A. Aufderheide
Comparison fields: 5 of 63
  • Structural Biology 134
  • Cell Biology 238
  • Molecular Biology 580
  • Surfaces, Coatings and Films 55
  • Epidemiology 172
Replace David Haselbach with:
David Haselbach Austria
Pia Unverdorben Germany
Florian Brandt Germany
Hideaki Takata Japan
Alexander von Appen Germany
Yury S. Bykov Germany
Matteo Allegretti Germany
Katarzyna Buczak Switzerland
Isabella Haberbosch Germany
Svetlana Dodonova Germany
A. Aufderheide relative to David Haselbach Austria David Haselbach's profile →
Citations per field
00.5×2.5×
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Citations per year

Countries citing papers authored by A. Aufderheide

Since Specialization
Citations

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

Fields of papers citing papers by A. Aufderheide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2015247
2 2016159
3 2017125
4 201592
5 201226
6 201524
7 201316
8 201312
9 201412
10 20151

About A. Aufderheide

A. Aufderheide is a scholar working on Molecular Biology, Cell Biology, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Oncology, having authored 10 papers that have together received 714 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Glycosylation and Glycoproteins Research (3 papers), Organic Electronics and Photovoltaics (3 papers), Spectroscopy and Quantum Chemical Studies (2 papers), Peptidase Inhibition and Analysis (2 papers), ZnO doping and properties (1 paper) and GaN-based semiconductor devices and materials (1 paper). The work is most often cited by research in Structural Biology (134 citations), Cell Biology (238 citations), Molecular Biology (580 citations), Surfaces, Coatings and Films (55 citations) and Epidemiology (172 citations). A. Aufderheide has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Friedrich Förster, Wolfgang Baumeister, Florian Beck, Günter Pfeifer, Eri Sakata, Shoh Asano, Yoshiyuki Fukuda, Radostin Danev, Klaus Schulten and Jürgen M. Plitzko. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Physical Chemistry C, FEBS Letters, Journal of Applied Physics and Physical Review Letters.

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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