Peter Feick

1.1k citations
34 papers · 973 · h-index 17

Impact in

Papers in

Peter Feick

34 papers receiving 922 citations

Peers

Peter Feick
Comparison fields: 5 of 97
  • Cell Biology 254
  • Geriatrics and Gerontology 26
  • Immunology 138
  • Immunology and Allergy 37
  • Physiology 29
Replace Isabelle R. Cohen with:
Isabelle R. Cohen France
Denis Rousseau France
Arvin B. Tam United States
Hiroaki Uranishi Japan
Peter Keng United States
Tong-Tong Zhang China
Fons K. Verheyen Netherlands
Daina M. Vanags Australia
Duen-Yi Huang Taiwan
Chaozhi Jin China
Peter Feick relative to Isabelle R. Cohen France Isabelle R. Cohen's profile →
Citations per field
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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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003114
2 199690
3 199988
4 199277
5 201174
6 200973
7
Identification of two distinct microtubule binding domains on recombinant rat MAP 1B.
199253
8 200852
9 199936
10 200932
11 201026
12 200423
13 199822
14 198320
15 201319
16 199718
17 199118
18 196917
19 199916
20 201116

About Peter Feick

Peter Feick is a scholar working on Cell Biology, Hepatology, Pharmacology, Endocrinology, Diabetes and Metabolism and Immunology, having authored 34 papers that have together received 973 indexed citations. Recurring topics across this work include Cellular transport and secretion (5 papers), Hops Chemistry and Applications (3 papers), Pancreatitis Pathology and Treatment (3 papers), Diet, Metabolism, and Disease (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Pancreatic function and diabetes (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Cannabis and Cannabinoid Research (2 papers). The work is most often cited by research in Cell Biology (254 citations), Geriatrics and Gerontology (26 citations), Immunology (138 citations), Immunology and Allergy (37 citations) and Physiology (29 citations). Peter Feick has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Manfred Vincenz Singer, Irene Schulz, Robert helmut Blum, Andreas Gerloff, Wolfgang Nastainczyk, Gerhard Wiche, Ulrich Böcker, Inaam A. Nakchbandi, Uwe Kalina and Frank Herweck. Their work appears in journals such as Alcoholism Clinical and Experimental Research, Digestive Diseases, Journal of Biological Chemistry, Cell Calcium and FEBS 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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