Gerhild van Echten‐Deckert

4.1k citations
72 papers · 3.4k indexed · h-index 30
Topics
Sphingolipid Metabolism and Signaling (52 papers)Lipid Membrane Structure and Behavior (20 papers)Lysosomal Storage Disorders Research (18 papers)

In The Last Decade

Gerhild van Echten‐Deckert

71 papers receiving 3.3k citations

Peers

Gerhild van Echten‐Deckert
Comparison fields: 5 of 116
  • Molecular Biology 2.6k
  • Physiology 936
  • Cell Biology 796
  • Immunology 299
  • Epidemiology 252
Replace Xun Huang with:
Xun Huang China
Luca Pellegrini Canada
Sandra Pierre Germany
Yoshihiro Kawahara Japan
Wolfgang Oppliger Switzerland
Der‐Fen Suen Taiwan
Cungui Mao United States
Weike Zeng China
Susumu Mitsutake Japan
Howard C. Towle United States
Gerhild van Echten‐Deckert relative to Xun Huang China Xun Huang's profile →
Citations per field
00.5×1.5×
Xun Huang · 1×
Citations per year

Countries citing papers authored by Gerhild van Echten‐Deckert

Since Specialization
Citations

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

Fields of papers citing papers by Gerhild van Echten‐Deckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerhild van Echten‐Deckert. 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 Gerhild van Echten‐Deckert. The network helps show where Gerhild van Echten‐Deckert may publish in the future.

Co-authorship network of co-authors of Gerhild van Echten‐Deckert

This figure shows the co-authorship network connecting the top 25 collaborators of Gerhild van Echten‐Deckert. A scholar is included among the top collaborators of Gerhild van Echten‐Deckert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gerhild van Echten‐Deckert. Gerhild van Echten‐Deckert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 9
3 6
4 7
5 28
6 48
7 13
8 244
9 3
10 5
11 10
12 13
13 381
14 21
15 23
16 23
17 113
18 13
19 41
20 14

About Gerhild van Echten‐Deckert

Gerhild van Echten‐Deckert is a scholar working on Cell Biology, Biochemistry and Physiology, having authored 72 papers that have together received 3.4k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (52 papers), Lipid Membrane Structure and Behavior (20 papers) and Lysosomal Storage Disorders Research (18 papers). The work is most often cited by research in Cell Biology (796 citations), Horticulture (39 citations) and Molecular Biology (2.6k citations). Gerhild van Echten‐Deckert has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Jochen Walter, Konrad Sandhoff, Christoph Michel, Alfred H. Merrill, Thomas Herget, Karunakaran Indulekha, Elaine Wang, Richard L. Proia, Daniel C. Hoessli and Bettina Borisch. Their work appears in journals such as Journal of Biological Chemistry, Blood and Analytical 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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