S. Matzku

6.0k citations
86 papers · 5.1k indexed · 2 hit papers · h-index 22
Topics
Monoclonal and Polyclonal Antibodies Research (40 papers)Radiopharmaceutical Chemistry and Applications (29 papers)Glycosylation and Glycoproteins Research (11 papers)

In The Last Decade

S. Matzku

82 papers receiving 4.9k citations

Hit Papers

Monoclonal Antibody-Mediated Tumor Regression by Inductio...1989202620012013198919914008001.2k

Peers

S. Matzku
Comparison fields: 5 of 114
  • Molecular Biology 3.1k
  • Cell Biology 1.6k
  • Immunology 1.3k
  • Oncology 1.3k
  • Immunology and Allergy 1.0k
Replace Judith P. Johnson with:
Judith P. Johnson Germany
Richard C. Bates United States
Ed Roos Netherlands
Mark E. Sobel United States
Dwayne G. Stupack United States
Jay S. Desgrosellier United States
Wolfgang J. Rettig United States
Günther R. Adolf Austria
Patrice Tremble United States
Roberta Mortarini Italy
S. Matzku relative to Judith P. Johnson Germany Judith P. Johnson's profile →
Citations per field
00.5×3.4×
Judith P. Johnson · 1×
Citations per year

Countries citing papers authored by S. Matzku

Since Specialization
Citations

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

Fields of papers citing papers by S. Matzku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Matzku

This figure shows the co-authorship network connecting the top 25 collaborators of S. Matzku. A scholar is included among the top collaborators of S. Matzku based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. Matzku. S. Matzku is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 44
2 6
3 12
4 119
5 11
6 4
7 289
8 3
9 20
10
New active N2S2-esters and the labeling of proteins with Tc-99m
0
11 4
12 6
13 3
14 24
15 1
16 20
17 4
18 34
19 7
20 36

About S. Matzku

S. Matzku is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Oncology, having authored 86 papers that have together received 5.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (40 papers), Radiopharmaceutical Chemistry and Applications (29 papers) and Glycosylation and Glycoproteins Research (11 papers). The work is most often cited by research in Immunology and Allergy (1.0k citations), Cell Biology (1.6k citations) and Immunology (1.3k citations). S. Matzku has collaborated with scholars based in Germany, Belarus and Switzerland. Frequent co-authors include Margot Zöller, Martin Hofmann‐Apitius, Simone Reber, Peter Mӧller, Klaus‐Michael Debatin, Werner Falk, Peter H. Krammer, C Klas, Anke Peters and Achim Wenzel. Their work appears in journals such as Science, Cell and The Journal of Experimental Medicine.

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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