Thomas Ciesiolka

441 citations
11 papers · 392 · h-index 8

Impact in

    • Pluripotent Stem Cells Research
    • Glycosylation and Glycoproteins Research
    • CRISPR and Genetic Engineering
    • Renal and related cancers
    • Toxin Mechanisms and Immunotoxins

Papers in

    • Glycosylation and Glycoproteins Research 7
    • Ubiquitin and proteasome pathways 1
    • Pluripotent Stem Cells Research 1
    • Carbohydrate Chemistry and Synthesis 3

Thomas Ciesiolka

11 papers receiving 379 citations

Peers

Thomas Ciesiolka
Comparison fields: 5 of 70
  • Molecular Biology 280
  • Immunology 80
  • Genetics 90
  • Microbiology 2
  • Biotechnology 17
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Citations per field
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Citations per year

Countries citing papers authored by Thomas Ciesiolka

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Ciesiolka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Thomas Ciesiolka, 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 Thomas Ciesiolka Line = papers co-authored together Thomas Ciesiolka links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1991164
2 198854
3 199351
4
Endogenous sugar receptor (lectin) profiles of human retinoblastoma and retinoblast cell lines analyzed by cytological markers, affinity chromatography and neoglycoprotein-targeted photolysis.
198932
5 198924
6 199022
7 198922
8 198911
9 19897
10 19914
11
Xenografts from a human colon carcinoma and its metastases: establishment, characterization and differences in the pattern of carbohydrate-binding proteins.
19891

About Thomas Ciesiolka

Thomas Ciesiolka is a scholar working on Molecular Biology, Organic Chemistry, Radiology, Nuclear Medicine and Imaging, Biotechnology and Cancer Research, having authored 11 papers that have together received 392 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (7 papers), Cancer Research and Treatments (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Synthesis and Biological Activity (1 paper), Galectins and Cancer Biology (1 paper), Ubiquitin and proteasome pathways (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Molecular Biology (280 citations), Immunology (80 citations), Genetics (90 citations), Microbiology (2 citations) and Biotechnology (17 citations). Thomas Ciesiolka has collaborated with scholars based in Germany. Frequent co-authors include Peter Gruß, Hans R. Schöler, Hans‐Joachim Gabius, W Kinyanjui Peter, Sigrun Gabius, Jürgen Rohr, Axel Zeeck, Klaus Kayser, Thomas Henkel and Georg Nagel. Their work appears in journals such as Analytical Biochemistry, Biochemical and Biophysical Research Communications, The Journal of Antibiotics, Clinical & Experimental Metastasis and Cell.

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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