Ralf Einspanier

195 papers receiving 7.5k citations

Ralf Einspanier's Hit Papers

Discovering microRNAs from deep sequencing data using miRDeep 2008 · 1.0k citations
1.0k0+6+12Years since publication2505007501000

Peers

Ralf Einspanier
Comparison fields: 5 of 151
  • Agronomy and Crop Science 1.8k
  • Equine 216
  • Reproductive Medicine 988
  • Cancer Research 1.4k
  • Immunology 1.2k
Replace K. Schellander with:
K. Schellander Germany
Ann Van Soom Belgium
Fernando J. Peña Spain
Luc J. Peelman Belgium
Takashi Shimizu Japan
Anders Johannisson Sweden
David L. Adelson Australia
Marc Yeste Spain
F. B. P. Wooding United Kingdom
Kathleen Mc Entee Belgium
Ralf Einspanier relative to K. Schellander Germany K. Schellander's profile →
Citations per field
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K. Schellander · 1×
Citations per year

Countries citing papers authored by Ralf Einspanier

Since Specialization
Citations

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

Fields of papers citing papers by Ralf Einspanier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 197 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Discovering microRNAs from deep sequencing data using miRDeep
Hit paper breakdown →
20081019
2 1999280
3 2004180
4 2000177
5 2000161
6 2005150
7 2001148
8 2003145
9 2011143
10 2010136
11 2015131
12 2005129
13 2004120
14 2008114
15 2003112
16 2016111
17 2002107
18 2009101
19 2003100
20 199993

About Ralf Einspanier

Ralf Einspanier is a scholar working on Agronomy and Crop Science, Reproductive Medicine, Public Health, Environmental and Occupational Health, Genetics and Cancer Research, having authored 197 papers that have together received 7.8k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (48 papers), Reproductive Biology and Fertility (38 papers), Sperm and Testicular Function (23 papers), Reproductive System and Pregnancy (17 papers), Animal Genetics and Reproduction (16 papers), Genetically Modified Organisms Research (16 papers), MicroRNA in disease regulation (13 papers) and CRISPR and Genetic Engineering (12 papers). The work is most often cited by research in Agronomy and Crop Science (1.8k citations), Equine (216 citations), Reproductive Medicine (988 citations), Cancer Research (1.4k citations) and Immunology (1.2k citations). Ralf Einspanier has collaborated with scholars based in Germany, Netherlands and Austria. Frequent co-authors include Soroush Sharbati, Christoph Gabler, Marc R. Friedländer, Wei Chen, Dieter Schams, Nikolaus Rajewsky, Catherine Adamidi, Jonas Maaskola, Angelika Bondzio and Jennifer Schoen. Their work appears in journals such as Theriogenology, PLoS ONE, Reproduction, Reproduction in Domestic Animals and Biochemical and Biophysical Research Communications.

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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