Jan H. Schefe

1.8k citations
15 papers · 1.6k · 1 hit paper · h-index 13

Impact in

Papers in

Jan H. Schefe

15 papers receiving 1.5k citations

Jan H. Schefe's Hit Papers

Quantitative real-time RT-PCR data analysis: current concepts and the novel “gene expression’s C T difference” formula 2006 · 717 citations
7170+6+13Years since publication200400600

Peers

Jan H. Schefe
Comparison fields: 5 of 118
  • Cardiology and Cardiovascular Medicine 452
  • Endocrinology, Diabetes and Metabolism 304
  • Molecular Biology 715
  • Cellular and Molecular Neuroscience 133
  • Physiology 29
Replace Heiko Funke‐Kaiser with:
Heiko Funke‐Kaiser Germany
Daekee Lee South Korea
Terence P. Herbert United Kingdom
Nadia Bendridi France
Daniel Motola United States
Roger T. Worrell United States
Alvair P. Almeida Brazil
James C. Garmey United States
Telma M.T. Zorn Brazil
Takahisa Yamada Japan
Jan H. Schefe relative to Heiko Funke‐Kaiser Germany Heiko Funke‐Kaiser's profile →
Citations per field
00.5×1.5×
Heiko Funke‐Kaiser · 1×
Citations per year

Countries citing papers authored by Jan H. Schefe

Since Specialization
Citations

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

Fields of papers citing papers by Jan H. Schefe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan H. Schefe. 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 Jan H. Schefe. The network helps show where Jan H. Schefe may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Quantitative real-time RT-PCR data analysis: current concepts and the novel “gene expression’s C T difference” formula
Hit paper breakdown →
2006717
2 2006270
3 2004106
4 200896
5
Metformin and the mTOR inhibitor everolimus (RAD001) sensitize breast cancer cells to the cytotoxic effect of chemotherapeutic drugs in vitro.
201289
6 200886
7 200939
8 200836
9 200829
10 200926
11 201019
12 201218
13 201117
14 201010
15 20222

About Jan H. Schefe

Jan H. Schefe is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology, Endocrinology, Diabetes and Metabolism and Sensory Systems, having authored 15 papers that have together received 1.6k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Renin-Angiotensin System Studies (3 papers), Hormonal Regulation and Hypertension (2 papers), RNA Research and Splicing (2 papers), PARP inhibition in cancer therapy (2 papers), CRISPR and Genetic Engineering (1 paper), Gene expression and cancer classification (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (452 citations), Endocrinology, Diabetes and Metabolism (304 citations), Molecular Biology (715 citations), Cellular and Molecular Neuroscience (133 citations) and Physiology (29 citations). Jan H. Schefe has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Thomas Unger, Heiko Funke‐Kaiser, Ivo R Buschmann, Kerstin E. Lehmann, Mario Menk, Jana Reinemund, Karin Effertz, Pier Paolo Pandolfi, Robin M. Hobbs and Patricia Ruíz. Their work appears in journals such as Journal of Hypertension, Journal of Molecular Medicine, Brain Research, Circulation Research and Arteriosclerosis Thrombosis and Vascular Biology.

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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