S. Danhauser-Riedl

1.4k total citations
34 papers, 1.1k citations indexed

About

S. Danhauser-Riedl is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, S. Danhauser-Riedl has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Oncology and 12 papers in Hematology. Recurrent topics in S. Danhauser-Riedl's work include Chronic Myeloid Leukemia Treatments (6 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Synthesis and biological activity (3 papers). S. Danhauser-Riedl is often cited by papers focused on Chronic Myeloid Leukemia Treatments (6 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Synthesis and biological activity (3 papers). S. Danhauser-Riedl collaborates with scholars based in Germany, United States and Switzerland. S. Danhauser-Riedl's co-authors include Michael Hallek, W. E. Berdel, EF Winton, Markus Warmuth, Brian Druker, B. Emmerich, Johann Rastetter, Hermann Dietzfelbinger, Bertold Emmerich and Wolfgang E. Berdel and has published in prestigious journals such as Journal of Clinical Oncology, Blood and British Journal of Cancer.

In The Last Decade

S. Danhauser-Riedl

34 papers receiving 1.1k citations

Peers

S. Danhauser-Riedl
Comparison fields: 5 of 76
  • Hematology 422
  • Molecular Biology 392
  • Oncology 347
  • Genetics 239
  • Immunology 237
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Tülin Budak-Alpdoǧan United States
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Yuan‐Yeh Kuo Taiwan
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T. Ghose Canada
Shweta Joshi United States
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Monica Pallis United Kingdom View profile →
Citations per field, relative to S. Danhauser-Riedl
S. Danhauser-Riedl · 1×
Citations per year, relative to S. Danhauser-Riedl
S. Danhauser-Riedl · 1×

Countries citing papers authored by S. Danhauser-Riedl

Since Specialization
Citations

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

Fields of papers citing papers by S. Danhauser-Riedl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Danhauser-Riedl

This figure shows the co-authorship network connecting the top 25 collaborators of S. Danhauser-Riedl. A scholar is included among the top collaborators of S. Danhauser-Riedl 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. Danhauser-Riedl. S. Danhauser-Riedl 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
# Work Indexed citations
1 10
2 60
3 2
4
Signal transduction of interleukin-6 involves tyrosine phosphorylation of multiple cytosolic proteins and activation of Src-family kinases Fyn, Hck, and Lyn in multiple myeloma cell lines.
63
5 24
6 40
7 15
8 111
9 40
10 5
11 8
12
Cytotoxic effects of hexadecylphosphocholine in neoplastic cell lines including drug-resistant sublines in vitro.
4
13 14
14
Some antagonists of platelet activating factor are cytotoxic for human malignant cell lines.
22
15 9
16 5
17 5
18 11
19 4
20 1

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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