Christoph Schächtele

5.1k citations
77 papers · 4.3k indexed · 1 hit paper · h-index 32

Christoph Schächtele

77 papers receiving 4.2k citations

Hit Papers

Selective inhibition of protein kinase C isozymes by the ...1.5k19932026200420154008001.2k

Peers

Christoph Schächtele
Comparison fields: 5 of 124
  • Toxicology 139
  • Molecular Biology 2.4k
  • Organic Chemistry 984
  • Pharmacology 459
  • Cell Biology 424
Replace Marc Labelle with:
Marc Labelle Canada
ISAMI TAKAHASHI Japan
Ching-Shih Chen United States
Makoto Morimoto Japan
Shripad S. Bhagwat United States
Jenny Bain United Kingdom
Tatsuya Tamaoki Japan
Markus Wartmann Switzerland
Consuelo Gajate Spain
Sherry Niessen United States
Christoph Schächtele relative to Marc Labelle Canada Marc Labelle's profile →
Citations per field
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Citations per year

Countries citing papers authored by Christoph Schächtele

Since Specialization
Citations

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

Fields of papers citing papers by Christoph Schächtele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Christoph Schächtele, 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 Christoph Schächtele Line = papers co-authored together Christoph Schächtele links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20193
2 201718
3 20172
4 201421
5 2013126
6 20111
7 201115
8 20107
9 200880
10 200795
11 200710
12 200534
13 200439
14 199523
15 19947
16 199314
17 199110
18 199050
19 198914
20 198895

About Christoph Schächtele

Christoph Schächtele is a scholar working on Toxicology, Organic Chemistry and Oncology, having authored 77 papers that have together received 4.3k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (11 papers), Cancer therapeutics and mechanisms (10 papers), Quinazolinone synthesis and applications (10 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), Bioactive Compounds and Antitumor Agents (6 papers), Angiogenesis and VEGF in Cancer (6 papers), Computational Drug Discovery Methods (6 papers) and Microbial Natural Products and Biosynthesis (5 papers). The work is most often cited by research in Toxicology (139 citations), Molecular Biology (2.4k citations) and Organic Chemistry (984 citations). Christoph Schächtele has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Dieter Marmé, Georg Martiny‐Baron, Peter M. Blumberg, Harald Mischak, Marcelo G. Kazanietz, Georg Kochs, Hubert Hug, Frank Totzke, Roland Seifert and Michael H.G. Kubbutat. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Biochemical and Biophysical Research Communications, European Journal of Medicinal Chemistry and MedChemComm.

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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