Friedemann Horn

9.0k total citations · 2 hit papers
82 papers, 6.4k citations indexed

About

Friedemann Horn is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Friedemann Horn has authored 82 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 36 papers in Oncology and 26 papers in Immunology. Recurrent topics in Friedemann Horn's work include Cytokine Signaling Pathways and Interactions (33 papers), Protein Kinase Regulation and GTPase Signaling (11 papers) and Cancer-related molecular mechanisms research (9 papers). Friedemann Horn is often cited by papers focused on Cytokine Signaling Pathways and Interactions (33 papers), Protein Kinase Regulation and GTPase Signaling (11 papers) and Cancer-related molecular mechanisms research (9 papers). Friedemann Horn collaborates with scholars based in Germany, United States and Austria. Friedemann Horn's co-authors include Peter C. Heinrich, Claudia Lütticken, Ursula Maria Wegenka, Jan Buschmann, Juping Yuan, Katja Brocke-Heidrich, Friedrich Marks, A. Kretzschmar, Kiyoshi Yasukawa and Sandra Pellegrini and has published in prestigious journals such as Science, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Friedemann Horn

82 papers receiving 6.2k citations

Hit Papers

Association of Transcription Factor APRF and Protein Kina... 1994 2026 2004 2015 1994 2007 200 400 600

Peers

Friedemann Horn
Comparison fields: 5 of 123
  • Molecular Biology 3.2k
  • Oncology 3.2k
  • Immunology 2.0k
  • Cancer Research 1.6k
  • Pharmacology 526
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Citations per field, relative to Friedemann Horn
Friedemann Horn · 1×
Citations per year, relative to Friedemann Horn
Friedemann Horn · 1×

Countries citing papers authored by Friedemann Horn

Since Specialization
Citations

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

Fields of papers citing papers by Friedemann Horn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Friedemann Horn

This figure shows the co-authorship network connecting the top 25 collaborators of Friedemann Horn. A scholar is included among the top collaborators of Friedemann Horn 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 Friedemann Horn. Friedemann Horn 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 14
3 26
4 6
5 180
6 124
7
Interleukin-6–dependent survival of multiple myeloma cells involves the Stat3-mediated induction of microRNA-21 through a highly conserved enhancer breakdown →
524
8 76
9 107
10 22
11 54
12 24
13 73
14 22
15 61
16 48
17 11
18
Association of Transcription Factor APRF and Protein Kinase Jak1 with the Interleukin-6 Signal Transducer gp130 breakdown →
695
19 10
20 26

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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2026