Tim Friedrichson

701 citations
7 papers · 626 · h-index 5

Impact in

  • Cell Biology top 10%
    • Cellular transport and secretion
    • Caveolin-1 and cellular processes
    • Lipid Membrane Structure and Behavior
    • Sphingolipid Metabolism and Signaling
    • Glycosylation and Glycoproteins Research
    • Protein Kinase Regulation and GTPase Signaling

Papers in

    • Mast cells and histamine 4
    • Cellular transport and secretion 1
    • Caveolin-1 and cellular processes 1

Tim Friedrichson

7 papers receiving 603 citations

Peers

Tim Friedrichson
Comparison fields: 5 of 53
  • Cell Biology 144
  • Molecular Biology 384
  • Immunology and Allergy 20
  • Immunology 73
  • Endocrinology 7
Replace Toshiki Itoh with:
Toshiki Itoh Japan
Behzad Aghazadeh United States
Christine M. Doucet France
Karine Missy France
Zi Zhao Lieu Australia
Danielle G. May United States
Jason T. Snyder United States
Oswald Wilson United States
Sayuri Hara‐Kuge Japan
Wakam Chang United States
Tim Friedrichson relative to Toshiki Itoh Japan Toshiki Itoh's profile →
Citations per field
00.5×1.5×2×2.4×
Toshiki Itoh · 1×
Citations per year

Countries citing papers authored by Tim Friedrichson

Since Specialization
Citations

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

Fields of papers citing papers by Tim Friedrichson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Tim Friedrichson, 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 Tim Friedrichson Line = papers co-authored together Tim Friedrichson links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 1998494
2 199982
3 200824
4 200312
5 20106
6 20155
7 20113

About Tim Friedrichson

Tim Friedrichson is a scholar working on Immunology, Cell Biology, Computational Theory and Mathematics, Molecular Biology and Nuclear Energy and Engineering, having authored 7 papers that have together received 626 indexed citations. Recurring topics across this work include Mast cells and histamine (4 papers), Lipid Membrane Structure and Behavior (2 papers), Computational Drug Discovery Methods (2 papers), Cellular transport and secretion (1 paper) and Caveolin-1 and cellular processes (1 paper). The work is most often cited by research in Cell Biology (144 citations), Molecular Biology (384 citations), Immunology and Allergy (20 citations), Immunology (73 citations) and Endocrinology (7 citations). Tim Friedrichson has collaborated with scholars based in Germany, Switzerland and Italy. Frequent co-authors include Teymuras V. Kurzchalia, Jörg Bernhard Schulz, Mikael Simons, Massimo Masserini, Marina Pitto, Gary S. Jennings, Metin Artuc, R. Vieira dos Santos, Torsten Zuberbier and Gary R. Lewin. Their work appears in journals such as European Journal of Medicinal Chemistry, Nature, SLAS DISCOVERY, Molecular Biology of the Cell and The Journal of Membrane Biology.

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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