Dominic Laaf

739 citations
16 papers · 610 · h-index 14

Impact in

  • Immunology top 10%
    • Galectins and Cancer Biology
    • Toxin Mechanisms and Immunotoxins
    • Glycosylation and Glycoproteins Research
    • Signaling Pathways in Disease

Papers in

    • Glycosylation and Glycoproteins Research 10
    • Advanced biosensing and bioanalysis techniques 1
    • Galectins and Cancer Biology 11
    • Toxin Mechanisms and Immunotoxins 4

Dominic Laaf

16 papers receiving 605 citations

Peers

Dominic Laaf
Comparison fields: 5 of 78
  • Immunology 281
  • Molecular Biology 414
  • Biomaterials 50
  • Biotechnology 33
  • Organic Chemistry 99
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Xiaofang Zhong United States
Rock J. Mancini United States
Jin Yu China
Beihua Xu China
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Stefan Gaunitz Sweden
Eric Duverger France
Alka Madaan India
José A. Rodríguez‐Martínez Puerto Rico
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Citations per field
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Citations per year

Countries citing papers authored by Dominic Laaf

Since Specialization
Citations

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

Fields of papers citing papers by Dominic Laaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2013100
2 201887
3 201752
4 201849
5 201545
6 201244
7 201838
8 201734
9 201734
10 201828
11 202022
12 201819
13 201919
14 202015
15 201713
16 202011

About Dominic Laaf

Dominic Laaf is a scholar working on Molecular Biology, Immunology, Oncology, Organic Chemistry and Cell Biology, having authored 16 papers that have together received 610 indexed citations. Recurring topics across this work include Galectins and Cancer Biology (11 papers), Glycosylation and Glycoproteins Research (10 papers), Peptidase Inhibition and Analysis (5 papers), Toxin Mechanisms and Immunotoxins (4 papers), Zebrafish Biomedical Research Applications (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Electrochemical sensors and biosensors (1 paper). The work is most often cited by research in Immunology (281 citations), Molecular Biology (414 citations), Biomaterials (50 citations), Biotechnology (33 citations) and Organic Chemistry (99 citations). Dominic Laaf has collaborated with scholars based in Germany, Czechia and United States. Frequent co-authors include Lothar Elling, Vladimı́r Křen, Pavla Bojarová, Helena Pelantová, Willi Jahnen‐Dechent, Ladislav Bumba, Ulrich Simon, Yu Pan, Thomas Fischöder and Vojtěch Spiwok. Their work appears in journals such as Advanced Synthesis & Catalysis, Bioconjugate Chemistry, Journal of Nanobiotechnology, Journal of Materials Chemistry B and physica status solidi (a).

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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