Ralf Einspanier

187 papers receiving 7.2k citations

Ralf Einspanier's Hit Papers

Discovering microRNAs from deep sequencing data using miRDeep 2008 · 988 citations
9880+6+12Years since publication250500750

Peers

Ralf Einspanier
Comparison fields: 5 of 145
  • Agronomy and Crop Science 1.7k
  • Equine 212
  • Reproductive Medicine 965
  • Cancer Research 1.4k
  • Public Health, Environmental and Occupational Health 1.5k
Replace Lane K. Christenson with:
Lane K. Christenson United States
Gregory A. Johnson United States
Dale A. Redmer United States
K. Schellander Germany
Lawrence P. Reynolds United States
Greg A. Johnson United States
Ann Van Soom Belgium
Dawit Tesfaye Germany
A.C.O. Evans Ireland
Luc Peelman Belgium
Ralf Einspanier relative to Lane K. Christenson United States Lane K. Christenson's profile →
Citations per field
00.5×3.9×
Lane K. Christenson · 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 191 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 →
2008988
2 1999265
3 2000173
4 2000162
5 2004156
6 2005148
7 2003145
8 2001142
9 2011135
10 2010131
11 2005128
12 2015125
13 2004118
14 2003111
15 2008110
16 2016109
17 2002101
18 2003100
19 200999
20 199994

About Ralf Einspanier

Ralf Einspanier is a scholar working on Molecular Biology, Agronomy and Crop Science, Public Health, Environmental and Occupational Health, Genetics and Reproductive Medicine, having authored 191 papers that have together received 7.4k 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 (14 papers), MicroRNA in disease regulation (13 papers), Genetically Modified Organisms Research (12 papers) and Animal health and immunology (10 papers). The work is most often cited by research in Agronomy and Crop Science (1.7k citations), Equine (212 citations), Reproductive Medicine (965 citations), Cancer Research (1.4k citations) and Public Health, Environmental and Occupational Health (1.5k citations). Ralf Einspanier has collaborated with scholars based in Germany, Chile and United States. Frequent co-authors include Soroush Sharbati, Christoph Gabler, Nikolaus Rajewsky, Wei Chen, Marc R. Friedländer, D. Schams, Catherine Adamidi, Jonas Maaskola, Angelika Bondzio and Jennifer Schoen. Their work appears in journals such as Theriogenology, PLoS ONE, Reproduction, Biology of Reproduction 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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