Werner Fürst

840 citations
9 papers · 705 · h-index 8

Impact in

  • Physiology top 5%
    • Lysosomal Storage Disorders Research
    • Erythrocyte Function and Pathophysiology
    • Cellular transport and secretion

Papers in

    • Glycosylation and Glycoproteins Research 5
    • Lipid Membrane Structure and Behavior 4
    • Ion Transport and Channel Regulation 1
    • Lysosomal Storage Disorders Research 3
    • Erythrocyte Function and Pathophysiology 2

Werner Fürst

9 papers receiving 689 citations

Peers

Werner Fürst
Comparison fields: 5 of 57
  • Physiology 483
  • Cell Biology 313
  • Physiology 45
  • Molecular Biology 525
  • Organic Chemistry 126
Replace Edna Neufeld with:
Edna Neufeld Israel
Lihsueh Lee United States
Elvira Ponce United States
Padmavathi Bandhuvula United States
Allan Powe United States
Heidi NEHRKORN Germany
Arnold L. Miller United States
Hideki Ohta United States
De–An Wang United States
Michiko Sekine Japan
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Citations per field
00.5×
Edna Neufeld · 1×
Citations per year

Countries citing papers authored by Werner Fürst

Since Specialization
Citations

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

Fields of papers citing papers by Werner Fürst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Werner Fürst, 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 Werner Fürst Line = papers co-authored together Werner Fürst links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1992228
2 1992122
3 199197
4 198893
5 199052
6 199140
7 199439
8 198732
9 19922

About Werner Fürst

Werner Fürst is a scholar working on Molecular Biology, Physiology, Organic Chemistry, Cell Biology and Immunology, having authored 9 papers that have together received 705 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Lipid Membrane Structure and Behavior (4 papers), Cellular transport and secretion (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Lysosomal Storage Disorders Research (3 papers), Erythrocyte Function and Pathophysiology (2 papers), Galectins and Cancer Biology (2 papers) and Ion Transport and Channel Regulation (1 paper). The work is most often cited by research in Physiology (483 citations), Cell Biology (313 citations), Physiology (45 citations), Molecular Biology (525 citations) and Organic Chemistry (126 citations). Werner Fürst has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include Konrad Sandhoff, Werner Machleidt, Günter Schwarzmann, Elke Meier, Andreas Klein, Robert Hurwitz, Juliane Weber, A. Poulos, K. Harzer and Barbara C. Paton. Their work appears in journals such as European Journal of Biochemistry, Journal of Biological Chemistry, Archives of Biochemistry and Biophysics, FEBS Letters and Biological Chemistry Hoppe-Seyler.

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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