Alexander Iphöfer

597 citations
5 papers · 319 · h-index 4

Impact in

    • Ubiquitin and proteasome pathways
    • Protein Degradation and Inhibitors
    • Glycosylation and Glycoproteins Research
    • Peptidase Inhibition and Analysis
    • Cancer-related Molecular Pathways

Papers in

    • Ubiquitin and proteasome pathways 3
    • Glycosylation and Glycoproteins Research 2
    • Protein Degradation and Inhibitors 1
    • Cancer-related Molecular Pathways 2

Alexander Iphöfer

4 papers receiving 315 citations

Peers

Alexander Iphöfer
Comparison fields: 5 of 55
  • Molecular Biology 249
  • Oncology 91
  • Cancer Research 35
  • Spectroscopy 36
  • Parasitology 12
Replace Shun‐Jia Chen with:
Shun‐Jia Chen Taiwan
Marie Locard‐Paulet France
Guillaume Béchade France
Joshua J. Hamey Australia
Tianyang Liu China
Apurva Chaturvedi United States
Joseph A. Combs United States
Conny Mathay Luxembourg
Tamara Handerson United States
Michał Tracz Poland
Alexander Iphöfer relative to Shun‐Jia Chen Taiwan Shun‐Jia Chen's profile →
Citations per field
00.5×4.5×
Shun‐Jia Chen · 1×
Citations per year

Countries citing papers authored by Alexander Iphöfer

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Iphöfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 2008171
2 201278
3 201236
4 201534
5 20250

About Alexander Iphöfer

Alexander Iphöfer is a scholar working on Molecular Biology, Oncology, Surgery, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 5 papers that have together received 319 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Glycosylation and Glycoproteins Research (2 papers), Cancer-related Molecular Pathways (2 papers), Diabetes Management and Research (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Molecular Biology (249 citations), Oncology (91 citations), Cancer Research (35 citations), Spectroscopy (36 citations) and Parasitology (12 citations). Alexander Iphöfer has collaborated with scholars based in United Kingdom, Germany and Australia. Frequent co-authors include Benedikt M. Kessler, Mikael Altun, Holger Kramer, Katalin di Gleria, Sirano Dhe‐Paganon, Edda Fiebiger, Masato Akutsu, Mariola J. Edelmann, Lothar Jänsch and Eric Schiffer. Their work appears in journals such as Biochemical Journal, ChemBioChem, PLoS ONE, Molecular & Cellular Proteomics and Heliyon.

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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