S. Matzku

6.0k total citations · 2 hit papers
86 papers, 5.1k citations indexed

About

S. Matzku is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Oncology. According to data from OpenAlex, S. Matzku has authored 86 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Radiology, Nuclear Medicine and Imaging, 27 papers in Molecular Biology and 26 papers in Oncology. Recurrent topics in S. Matzku's work include Monoclonal and Polyclonal Antibodies Research (40 papers), Radiopharmaceutical Chemistry and Applications (29 papers) and Glycosylation and Glycoproteins Research (11 papers). S. Matzku is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (40 papers), Radiopharmaceutical Chemistry and Applications (29 papers) and Glycosylation and Glycoproteins Research (11 papers). S. Matzku collaborates with scholars based in Germany, Belarus and Switzerland. S. Matzku's 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 and has published in prestigious journals such as Science, Cell and The Journal of Experimental Medicine.

In The Last Decade

S. Matzku

82 papers receiving 4.9k citations

Hit Papers

Monoclonal Antibody-Mediated Tumor Regression by Inductio... 1989 2026 2001 2013 1989 1991 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. Matzku Germany 22 3.1k 1.6k 1.3k 1.3k 1.0k 86 5.1k
Leonie K. Ashman Australia 44 2.3k 0.7× 1.2k 0.7× 2.2k 1.7× 742 0.6× 2.0k 1.9× 120 6.2k
Judith P. Johnson Germany 31 1.8k 0.6× 462 0.3× 1.3k 1.0× 1.0k 0.8× 750 0.7× 67 3.6k
Günther R. Adolf Austria 29 1.9k 0.6× 1.2k 0.8× 844 0.7× 951 0.8× 316 0.3× 59 3.5k
Joaquı́n Teixidó Spain 39 2.0k 0.7× 544 0.4× 1.3k 1.0× 1.6k 1.2× 1.3k 1.2× 71 4.4k
Dwayne G. Stupack United States 46 4.4k 1.4× 1.5k 1.0× 995 0.8× 1.5k 1.2× 2.3k 2.2× 109 7.3k
Richard C. Bates United States 32 2.2k 0.7× 553 0.4× 568 0.4× 1.6k 1.3× 739 0.7× 51 4.3k
T. M. Dexter United Kingdom 36 2.3k 0.7× 502 0.3× 1.8k 1.4× 1.5k 1.2× 366 0.4× 101 6.3k
Patrice Tremble United States 16 1.9k 0.6× 819 0.5× 498 0.4× 765 0.6× 1.4k 1.4× 18 4.1k
Satyajit K. Mitra United States 8 2.4k 0.8× 2.0k 1.3× 529 0.4× 863 0.7× 2.3k 2.2× 12 4.8k
Jay S. Desgrosellier United States 19 2.7k 0.9× 789 0.5× 759 0.6× 1.6k 1.3× 1.7k 1.7× 30 4.9k

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
1.
DeNardo, Sally J., Peter Burke, Bryan R. Leigh, et al.. (2000). Neovascular Targeting with Cyclic RGD Peptide (cRGDf-ACHA) to Enhance Delivery of Radioimmunotherapy. Cancer Biotherapy and Radiopharmaceuticals. 15(1). 71–79. 44 indexed citations
2.
Zöller, Margot & S. Matzku. (1999). Cancer Therapy: New Concepts on Active Immunization. Immunobiology. 201(1). 1–21. 6 indexed citations
3.
Hölzer, Wolfgang, et al.. (1996). A fusion protein of IL-8 and a FAB antibody fragment binds to IL-8 receptors and induces neutrophil activation. Cytokine. 8(3). 214–221. 12 indexed citations
4.
Horn, Uwe, Wolfgang Strittmatter, Anke Krebber, et al.. (1996). High volumetric yields of functional dimeric miniantibodies in Escherichia coli , using an optimized expression vector and high-cell-density fermentation under non-limited growth conditions. Applied Microbiology and Biotechnology. 46(5-6). 524–532. 119 indexed citations
6.
Matzku, S.. (1996). Monoclonal Antibodies in Tumor Therapy. Recent results in cancer research. 141. 1–8. 4 indexed citations
7.
Seiter, Simone, R. Arch, Simone Reber, et al.. (1993). Prevention of tumor metastasis formation by anti-variant CD44.. The Journal of Experimental Medicine. 177(2). 443–455. 289 indexed citations
8.
Schirrmacher, Volker, et al.. (1993). Preferential antibody targeting to small lymphoma metastases in the absence of the primary tumour. European Journal of Cancer. 29(2). 217–225. 3 indexed citations
9.
Schuhmacher, Jochen, William E. Hull, Harald Hauser, et al.. (1992). A bifunctional HBED-derivative for labeling of antibodies with 67Ga, 111In and 59Fe. Comparative biodistribution with 111In-DPTA and 131I-labeled antibodies in mice bearing antibody internalizing and non-internalizing tumors. International Journal of Radiation Applications and Instrumentation Part B Nuclear Medicine and Biology. 19(8). 809–824. 20 indexed citations
10.
Eisenhut, Michael, et al.. (1991). New active N2S2-esters and the labeling of proteins with Tc-99m. Journal of Labelled Compounds and Radiopharmaceuticals. 30.
11.
Bihl, H., et al.. (1990). Antibody accumulation in small tissue samples: Assessment by quantitative autoradiography. International Journal of Radiation Applications and Instrumentation Part B Nuclear Medicine and Biology. 17(6). 585–596. 4 indexed citations
12.
Matzku, S., et al.. (1990). Autoradiographic Evaluation of Monoclonal Antibodies Access to Melanoma-Associated Antigens in Melanoma Xenografts. Journal of Investigative Dermatology. 95(6). 671–676. 6 indexed citations
13.
14.
Matzku, S., et al.. (1990). Tumour targeting with antibody-coupled liposomes: Failure to achieve accumulation in xenografts and spontaneous liver metastases. Cancer Immunology Immunotherapy. 31(5). 285–291. 24 indexed citations
15.
Zöller, Margot & S. Matzku. (1989). Changes in adhesive properties of tumor cells do not necessarily influence metastasizing capacity. Clinical & Experimental Metastasis. 7(2). 227–242. 1 indexed citations
16.
Matzku, S., Wolfgang Tilgen, Holger Kalthoff, W Schmiegel, & Eva‐Bettina Bröcker. (1988). Dynamics of antibody transport and internalization. International Journal of Cancer. 41(S2). 11–14. 20 indexed citations
17.
Tilgen, Wolfgang, et al.. (1987). Modulation of melanoma-associated antigens by monoclonal antibodies as visualized by radioimmunoelectron microscopy and radioantibody binding assay. Archives of Dermatological Research. 279(S1). S116–S126. 4 indexed citations
18.
Baici, Antonio, et al.. (1984). Cathepsin B-Like Proteinase as a Marker for Metastatic Tumor Cell Variants. Pathobiology. 52(5). 293–299. 34 indexed citations
19.
Zöller, Margot & S. Matzku. (1983). Solid tumor-derived target cell susceptibility to macrophages and natural killer/natural cytotoxic cells in the rat. Immunobiology. 164(5). 349–360. 7 indexed citations
20.
Matzku, S. & E. Broda. (1970). Die Zinkaufnahme in das Innere von Chlorella. Planta. 92(1). 29–40. 36 indexed citations

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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