Albrecht Piiper

5.2k citations
124 papers · 4.2k · h-index 38

Impact in

  • Hepatology top 1%
    • Hepatitis C virus research
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Protein Kinase Regulation and GTPase Signaling 20
    • Circular RNAs in diseases 9
    • Receptor Mechanisms and Signaling 8
    • Pancreatic function and diabetes 14

Albrecht Piiper

123 papers receiving 4.1k citations

Peers

Albrecht Piiper
Comparison fields: 5 of 115
  • Hepatology 691
  • Cancer Research 1.1k
  • Molecular Biology 2.4k
  • Cell Biology 364
  • Oncology 590
Replace Brenda F. Baker with:
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Minoru Nomoto Japan
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Citations per field
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Citations per year

Countries citing papers authored by Albrecht Piiper

Since Specialization
Citations

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

Fields of papers citing papers by Albrecht Piiper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016171
2 2011169
3 2013158
4 2013154
5 2006132
6 2011116
7 2011109
8 200597
9 200697
10 201289
11 201384
12 200284
13 201384
14 200381
15 201280
16 201478
17 201671
18 201267
19 201267
20 201467

About Albrecht Piiper

Albrecht Piiper is a scholar working on Molecular Biology, Surgery, Epidemiology, Hepatology and Cancer Research, having authored 124 papers that have together received 4.2k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (20 papers), Liver Disease Diagnosis and Treatment (16 papers), MicroRNA in disease regulation (15 papers), Pancreatic function and diabetes (14 papers), Hepatitis C virus research (11 papers), Circular RNAs in diseases (9 papers), Receptor Mechanisms and Signaling (8 papers) and Neuropeptides and Animal Physiology (8 papers). The work is most often cited by research in Hepatology (691 citations), Cancer Research (1.1k citations), Molecular Biology (2.4k citations), Cell Biology (364 citations) and Oncology (590 citations). Albrecht Piiper has collaborated with scholars based in Germany, France and Sweden. Frequent co-authors include Stefan Zeuzem, Bernd Kronenberger, Oliver Waidmann, Thomas Pleli, Jörg Haupenthal, Verena Köberle, Ricardo M. Biondi, Eva Herrmann, Jan Peveling‐Oberhag and Robert Elez. Their work appears in journals such as Biochemical and Biophysical Research Communications, PLoS ONE, Journal of Hepatology, American Journal of Physiology-Gastrointestinal and Liver Physiology and Journal of Viral Hepatitis.

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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