Martina Dicker

422 citations
11 papers · 277 · h-index 8

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 4
    • Cancer therapeutics and mechanisms 1
    • Toxin Mechanisms and Immunotoxins 3

Martina Dicker

10 papers receiving 269 citations

Peers

Martina Dicker
Comparison fields: 5 of 43
  • Biotechnology 138
  • Immunology 91
  • Geriatrics and Gerontology 10
  • Molecular Biology 202
  • Radiology, Nuclear Medicine and Imaging 47
Replace Alessio Lombardi with:
Alessio Lombardi Italy
Heike Launhardt Germany
Samantha L. Gerlach United States
Daiming Jiang China
Gregg Wallis United Kingdom
Juliana Parsons Germany
Yun‐Ji Shin South Korea
Pradeep Kumar Prabhakar United States
Amardeep Khushoo India
Theodora de Vries Netherlands
Martina Dicker relative to Alessio Lombardi Italy Alessio Lombardi's profile →
Citations per field
00.5×1.5×
Alessio Lombardi · 1×
Citations per year

Countries citing papers authored by Martina Dicker

Since Specialization
Citations

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

Fields of papers citing papers by Martina Dicker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201565
2 201662
3 201651
4 201424
5 201423
6 201316
7 202115
8 201611
9 20157
10 20223
11 20250

About Martina Dicker

Martina Dicker is a scholar working on Molecular Biology, Immunology, Biotechnology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 277 indexed citations. Recurring topics across this work include Transgenic Plants and Applications (5 papers), Glycosylation and Glycoproteins Research (4 papers), Toxin Mechanisms and Immunotoxins (3 papers), Inflammatory Bowel Disease (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Mycobacterium research and diagnosis (1 paper), Cancer therapeutics and mechanisms (1 paper) and Lysosomal Storage Disorders Research (1 paper). The work is most often cited by research in Biotechnology (138 citations), Immunology (91 citations), Geriatrics and Gerontology (10 citations), Molecular Biology (202 citations) and Radiology, Nuclear Medicine and Imaging (47 citations). Martina Dicker has collaborated with scholars based in Austria, United States and United Kingdom. Frequent co-authors include Richard Strasser, Friedrich Altmann, Daniel Maresch, Ulrike Vavra, Herta Steinkellner, Paloma Juárez, Diego Orzáez, Alexandra Castilho, Jennifer Schoberer and Yun‐Ji Shin. Their work appears in journals such as Nature Communications, Plant Biotechnology Journal, Mucosal Immunology, Frontiers in Plant Science and Frontiers in Immunology.

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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