Heiko Funke‐Kaiser

2.3k citations
29 papers · 1.8k indexed · 1 hit paper · h-index 18

Heiko Funke‐Kaiser

29 papers receiving 1.8k citations

Hit Papers

Quantitative real-time RT-PCR data analysis: current conc...6972006202620122019200400600

Peers

Heiko Funke‐Kaiser
Comparison fields: 5 of 120
  • Cardiology and Cardiovascular Medicine 709
  • Endocrinology, Diabetes and Metabolism 469
  • Molecular Biology 940
  • Cellular and Molecular Neuroscience 174
  • Physiology 39
Replace Jan H. Schefe with:
Jan H. Schefe Germany
Martin Bergmann Germany
Alvair P. Almeida Brazil
Danielle Château France
Daekee Lee South Korea
George Koike Japan
Simone Renner Germany
Shuji Kitajima Japan
Maria Mirotsou United States
Yves R. Boisclair United States
Heiko Funke‐Kaiser relative to Jan H. Schefe Germany Jan H. Schefe's profile →
Citations per field
00.5×1.6×
Jan H. Schefe · 1×
Citations per year

Countries citing papers authored by Heiko Funke‐Kaiser

Since Specialization
Citations

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

Fields of papers citing papers by Heiko Funke‐Kaiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heiko Funke‐Kaiser. 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 Heiko Funke‐Kaiser. The network helps show where Heiko Funke‐Kaiser may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20135
3 201226
4 20123
5 2010168
6 201017
7 20109
8 200925
9 200934
10 200828
11 200890
12 200881
13
Quantitative real-time RT-PCR data analysis: current concepts and the novel “gene expression’s C T difference” formulabreakdown →
2006697
14 200324
15 200121
16 200112
17 200017
18 199811
19 199814
20 199748

About Heiko Funke‐Kaiser

Heiko Funke‐Kaiser is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 29 papers that have together received 1.8k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (13 papers), Receptor Mechanisms and Signaling (11 papers), Nitric Oxide and Endothelin Effects (8 papers), Congenital heart defects research (6 papers), Hormonal Regulation and Hypertension (6 papers), RNA modifications and cancer (3 papers), ATP Synthase and ATPases Research (2 papers) and PARP inhibition in cancer therapy (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (709 citations), Endocrinology, Diabetes and Metabolism (469 citations) and Molecular Biology (940 citations). Heiko Funke‐Kaiser has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Thomas Unger, Jan H. Schefe, Ivo Buschmann, Kerstin Lehmann, Mario Menk, Jana Reinemund, U. Muscha Steckelings, Patricia Ruíz, Robin M. Hobbs and Pier Paolo Pandolfi. Their work appears in journals such as PLoS ONE, Circulation Research and The Journal of Physiology.

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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