Peter Feick

1.1k citations
31 papers · 898 · h-index 17

Impact in

    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
    • Microtubule and mitosis dynamics
    • Immune Response and Inflammation

Papers in

Peter Feick

31 papers receiving 867 citations

Peers

Peter Feick
Comparison fields: 5 of 99
  • Cell Biology 248
  • Immunology 156
  • Physiology 32
  • Geriatrics and Gerontology 26
  • Molecular Biology 402
Replace Hidehiko Kikuchi with:
Hidehiko Kikuchi Japan
Daniel P. Heruth United States
Kazunori Mori Japan
Arvin B. Tam United States
Yong Fu China
Giorgia Mandili Italy
Fons K. Verheyen Netherlands
Joseph M. Catanzaro United States
Jessica L. Chitty Australia
Yang Su China
Peter Feick relative to Hidehiko Kikuchi Japan Hidehiko Kikuchi's profile →
Citations per field
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Hidehiko Kikuchi · 1×
Citations per year

Countries citing papers authored by Peter Feick

Since Specialization
Citations

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

Fields of papers citing papers by Peter Feick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003110
2 199686
3 199986
4 199275
5 201169
6 200964
7 200852
8
Identification of two distinct microtubule binding domains on recombinant rat MAP 1B.
199250
9 200932
10 199930
11 201024
12 199822
13 200422
14 199718
15 199118
16 196917
17 198317
18 201316
19 200514
20 200711

About Peter Feick

Peter Feick is a scholar working on Molecular Biology, Cell Biology, Surgery, Immunology and Pharmacology, having authored 31 papers that have together received 898 indexed citations. Recurring topics across this work include Cellular transport and secretion (5 papers), Hops Chemistry and Applications (4 papers), Pancreatitis Pathology and Treatment (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Pancreatic function and diabetes (3 papers), Kruppel-like factors research (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Helicobacter pylori-related gastroenterology studies (2 papers). The work is most often cited by research in Cell Biology (248 citations), Immunology (156 citations), Physiology (32 citations), Geriatrics and Gerontology (26 citations) and Molecular Biology (402 citations). Peter Feick has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Manfred V. Singer, Irene Schulz, Robert Blum, Andreas Gerloff, Wolfgang Nastainczyk, Gerhard Wiche, Ulrich Böcker, Inaam A. Nakchbandi, Pascale Zimmermann and Winfried Haase. Their work appears in journals such as Alcoholism Clinical and Experimental Research, FEBS Letters, Cell Calcium, Digestive Diseases and Journal of Biological Chemistry.

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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