Ruprecht Kuner

4.2k citations
44 papers · 3.6k · h-index 27

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
    • Circular RNAs in diseases
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Extracellular vesicles in disease

Papers in

Ruprecht Kuner

44 papers receiving 3.5k citations

Peers

Ruprecht Kuner
Comparison fields: 5 of 116
  • Cancer Research 1.5k
  • Molecular Biology 2.2k
  • Pulmonary and Respiratory Medicine 632
  • Oncology 366
  • Immunology 189
Replace Aifa Tang with:
Aifa Tang China
Richard G. A. B. Sewalt Netherlands
Eijiro Nakamura Japan
Ram Shankar Mani United States
Josephine C. Dorsman Netherlands
David E. Cogdell United States
Kim L. Mercer United States
Lucas M. Dennis United States
Srinivas Raghavan Viswanathan United States
Jürgen Serth Germany
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Citations per field
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Citations per year

Countries citing papers authored by Ruprecht Kuner

Since Specialization
Citations

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

Fields of papers citing papers by Ruprecht Kuner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010507
2 2007392
3 2010383
4 2013277
5 2008156
6 2006147
7 1997128
8 2011128
9 2012127
10 2014123
11 2012116
12 2008102
13 200985
14 200571
15 200967
16 200965
17 201363
18 200452
19 201252
20 201248

About Ruprecht Kuner

Ruprecht Kuner is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology, Oncology and Genetics, having authored 44 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (7 papers), Prostate Cancer Treatment and Research (5 papers), Circular RNAs in diseases (5 papers), Lung Cancer Treatments and Mutations (4 papers), Epigenetics and DNA Methylation (3 papers), Molecular Biology Techniques and Applications (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cancer Research (1.5k citations), Molecular Biology (2.2k citations), Pulmonary and Respiratory Medicine (632 citations), Oncology (366 citations) and Immunology (189 citations). Ruprecht Kuner has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Holger Sültmann, Jan C. Brase, Daniela Wuttig, Michael A. Meister, Maria Fälth, Tim Beißbarth, Marc Johannes, Annemarie Poustka, Thorsten Schlomm and Thomas P Steuber. Their work appears in journals such as Lung Cancer, PLoS ONE, European Journal of Clinical Microbiology & Infectious Diseases, International Journal of Cancer and BMC Cancer.

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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