C. Spamer

839 citations
28 papers · 665 · h-index 15

Impact in

    • Muscle metabolism and nutrition
    • Endoplasmic Reticulum Stress and Disease
  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Pancreatic function and diabetes 7
    • Endoplasmic Reticulum Stress and Disease 5
    • Muscle metabolism and nutrition 4

C. Spamer

27 papers receiving 618 citations

Peers

C. Spamer
Comparison fields: 5 of 85
  • Cell Biology 220
  • Hepatology 92
  • Molecular Biology 333
  • Physiology 21
  • Nutrition and Dietetics 70
Replace S Middleton with:
S Middleton United Kingdom
Brian Foster United States
Kálmán Bódis Germany
W.H. Lamers Netherlands
R Sutton United Kingdom
I. F. McMurtry United States
Salman Azhar United States
Jorge Uribe United States
Hongjie Li China
Zhenlong Luo China
C. Spamer relative to S Middleton United Kingdom S Middleton's profile →
Citations per field
00.5×3.5×
S Middleton · 1×
Citations per year

Countries citing papers authored by C. Spamer

Since Specialization
Citations

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

Fields of papers citing papers by C. Spamer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197795
2 199883
3
Metabolic properties of muscle fibers.
198676
4 198862
5 199554
6 197954
7 198435
8 198527
9 201925
10 199518
11 199417
12 197917
13 198316
14 198716
15 199315
16 198612
17 19887
18 19896
19 20145
20 19865

About C. Spamer

C. Spamer is a scholar working on Surgery, Cell Biology, Molecular Biology, Epidemiology and Hepatology, having authored 28 papers that have together received 665 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Muscle metabolism and nutrition (4 papers), Mitochondrial Function and Pathology (4 papers), Adipose Tissue and Metabolism (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Cell Biology (220 citations), Hepatology (92 citations), Molecular Biology (333 citations), Physiology (21 citations) and Nutrition and Dietetics (70 citations). C. Spamer has collaborated with scholars based in Germany, Canada and Italy. Frequent co-authors include Dirk Pette, W. Gerok, Claudia Heilmann, Claus Heilmann, Marek Michalak, Shairaz Baksh, Manfred Olschewski, Hubert E. Blum, Alfredo Margreth and Hans‐Peter Allgaier. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, European Journal of Clinical Nutrition, Histochemistry and Cell Biology 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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