Erwin Snip

711 citations
9 papers · 616 · h-index 9

Impact in

    • Supramolecular Self-Assembly in Materials
    • Polydiacetylene-based materials and applications
    • Supramolecular Chemistry and Complexes

Papers in

    • Lipid Membrane Structure and Behavior 2
    • Receptor Mechanisms and Signaling 2
    • Polydiacetylene-based materials and applications 2
    • Carbohydrate Chemistry and Synthesis 2

Erwin Snip

9 papers receiving 604 citations

Peers

Erwin Snip
Comparison fields: 5 of 62
  • Biomaterials 404
  • Organic Chemistry 331
  • Materials Chemistry 202
  • Molecular Biology 267
  • Inorganic Chemistry 56
Replace Maria Dolores Segarra‐Maset with:
Maria Dolores Segarra‐Maset Spain
Guillaume Pickaert France
Hiroshi Koori Japan
Zachary P. Tolstyka United States
Julfikar Hassan Mondal India
Philippe Bissel United States
Rika Ochi Japan
Erin N. Guidry United States
Victoria L. Sedman United Kingdom
Nicola Castellucci Italy
Erwin Snip relative to Maria Dolores Segarra‐Maset Spain Maria Dolores Segarra‐Maset's profile →
Citations per field
00.5×1.5×
Maria Dolores Segarra‐Maset · 1×
Citations per year

Countries citing papers authored by Erwin Snip

Since Specialization
Citations

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

Fields of papers citing papers by Erwin Snip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2002245
2 2001123
3 200149
4 199745
5 200443
6 200241
7 201339
8 200820
9 199911

About Erwin Snip

Erwin Snip is a scholar working on Molecular Biology, Organic Chemistry, Biomaterials, Immunology and Materials Chemistry, having authored 9 papers that have together received 616 indexed citations. Recurring topics across this work include Supramolecular Self-Assembly in Materials (4 papers), Porphyrin and Phthalocyanine Chemistry (2 papers), Mast cells and histamine (2 papers), Lipid Membrane Structure and Behavior (2 papers), Receptor Mechanisms and Signaling (2 papers), Polydiacetylene-based materials and applications (2 papers), Carbohydrate Chemistry and Synthesis (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper). The work is most often cited by research in Biomaterials (404 citations), Organic Chemistry (331 citations), Materials Chemistry (202 citations), Molecular Biology (267 citations) and Inorganic Chemistry (56 citations). Erwin Snip has collaborated with scholars based in Netherlands, Japan and Thailand. Frequent co-authors include Seiji Shinkai, Oliver Gronwald, David N. Reinhoudt, Ritsuko Iguchi, Masato Ikeda, Tsutomu Ishi‐i, Kazuya Koumoto, Willem Verboom, Harold Boerrigter and Paul M. Cullis. Their work appears in journals such as Journal of Medicinal Chemistry, Tetrahedron, Langmuir, Journal of the American Chemical Society and Current Opinion in Colloid & Interface Science.

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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