Ernst Ferber

3.3k citations
96 papers · 3k · h-index 30

Impact in

  • Biochemistry top 0.2%
    • Lipid metabolism and biosynthesis
  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms

Papers in

    • Lipid metabolism and biosynthesis 33
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 9
    • Immune cells in cancer 9
    • T-cell and B-cell Immunology 7

Ernst Ferber

95 papers receiving 2.7k citations

Peers

Ernst Ferber
Comparison fields: 5 of 93
  • Biochemistry 757
  • Immunology 647
  • Molecular Biology 1.3k
  • Nutrition and Dietetics 203
  • Pharmacology 224
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Citations per field
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Citations per year

Countries citing papers authored by Ernst Ferber

Since Specialization
Citations

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

Fields of papers citing papers by Ernst Ferber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1972206
2 1984149
3 1981146
4 1978140
5 1975125
6 1972119
7 1973114
8 1982106
9 1993106
10 1971100
11 199281
12 197076
13 198872
14 197268
15 198461
16 197458
17 198155
18 196547
19 197646
20 197045

About Ernst Ferber

Ernst Ferber is a scholar working on Biochemistry, Immunology, Molecular Biology, Biochemistry and Cancer Research, having authored 96 papers that have together received 3k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (33 papers), Lipid Membrane Structure and Behavior (27 papers), Protein Kinase Regulation and GTPase Signaling (11 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (9 papers), Immune cells in cancer (9 papers), T-cell and B-cell Immunology (7 papers), Redox biology and oxidative stress (6 papers) and Sphingolipid Metabolism and Signaling (4 papers). The work is most often cited by research in Biochemistry (757 citations), Immunology (647 citations), Molecular Biology (1.3k citations), Nutrition and Dietetics (203 citations) and Pharmacology (224 citations). Ernst Ferber has collaborated with scholars based in Germany, Israel and United States. Frequent co-authors include Klaus Resch, Herbert Fischer, Inge E. A. Flesch, Donald F. H. Wallach, PAUL GERHARD MUNDER, Jacqueline Trotter, Bernhard A. Peskar, Uriel Zor, Maurice J. Weidemann and J Radik. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, European Journal of Biochemistry, Inflammation Research, Biochemical Journal and European Journal of Immunology.

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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