Felix Seifert

656 total citations
10 papers, 426 citations indexed

About

Felix Seifert is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Felix Seifert has authored 10 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 7 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Felix Seifert's work include Genetic Mapping and Diversity in Plants and Animals (7 papers), Genetics and Plant Breeding (5 papers) and Genetic and phenotypic traits in livestock (4 papers). Felix Seifert is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (7 papers), Genetics and Plant Breeding (5 papers) and Genetic and phenotypic traits in livestock (4 papers). Felix Seifert collaborates with scholars based in Germany, United Kingdom and Netherlands. Felix Seifert's co-authors include Albrecht E. Melchinger, Alexander Thiemann, Anette Schrag, Stefan Scholten, Wolfgang Schipprack, Stefan Scholten, Matthias Frisch, Tobias A. Schrag, Jochen Kumlehn and Erik Wijnker and has published in prestigious journals such as Genetics, Frontiers in Plant Science and eLife.

In The Last Decade

Felix Seifert

10 papers receiving 425 citations

Peers

Felix Seifert

PS

GENET

MB

CB

ACS

Harmeet Singh Chawla Germany

Shenghai Ye China

Kristen L. Kump United States

Maria Genaleen Q. Diaz Philippines

Nickolai Alexandrov Philippines

Jemanesh K. Haile Canada

Yipu Li China

Philipp H. G. Boeven Germany

A. Massi Italy

Harmeet Singh Chawla Germany

Felix Seifert

489 ×1.3

PS

181 ×0.7

GENET

278 ×1.9

MB

10 ×0.5

CB

18 ×1.1

ACS

Citations per year, relative to Felix Seifert Felix Seifert (= 1×) peers Harmeet Singh Chawla

Countries citing papers authored by Felix Seifert

Since Specialization

Citations

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

Fields of papers citing papers by Felix Seifert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felix Seifert

This figure shows the co-authorship network connecting the top 25 collaborators of Felix Seifert. A scholar is included among the top collaborators of Felix Seifert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Felix Seifert. Felix Seifert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Keizer, Emma M, Shinichiro Komaki, Felix Seifert, et al.. (2019). Live cell imaging of meiosis in Arabidopsis thaliana. eLife. 8. 63 indexed citations

2.

Seifert, Felix, Alexander Thiemann, Anette Schrag, et al.. (2018). Small RNA-based prediction of hybrid performance in maize. BMC Genomics. 19(1). 371–371. 22 indexed citations

3.

Seifert, Felix, Alexander Thiemann, Robert Grant‐Downton, et al.. (2018). Parental Expression Variation of Small RNAs Is Negatively Correlated with Grain Yield Heterosis in a Maize Breeding Population. Frontiers in Plant Science. 9. 13–13. 20 indexed citations

4.

Schrag, Anette, Wolfgang Schipprack, Felix Seifert, et al.. (2018). Beyond Genomic Prediction: Combining Different Types of omics Data Can Improve Prediction of Hybrid Performance in Maize. Genetics. 208(4). 1373–1385. 111 indexed citations

5.

Schrag, Tobias A., Georg Thaller, H. Friedrich Utz, et al.. (2017). Omics-based hybrid prediction in maize. Theoretical and Applied Genetics. 130(9). 1927–1939. 83 indexed citations

6.

Frisch, Matthias, Alexander Thiemann, Felix Seifert, et al.. (2017). Transcriptome‐based prediction of hybrid performance with unbalanced data from a maize breeding programme. Plant Breeding. 136(3). 331–337. 24 indexed citations

7.

Thiemann, Alexander, Felix Seifert, Anette Schrag, et al.. (2016). Prediction of hybrid performance in maize with a ridge regression model employed to DNA markers and mRNA transcription profiles. BMC Genomics. 17(1). 262–262. 30 indexed citations

8.

Seifert, Felix, et al.. (2016). Analysis of wheat microspore embryogenesis induction by transcriptome and small RNA sequencing using the highly responsive cultivar “Svilena”. BMC Plant Biology. 16(1). 97–97. 40 indexed citations

9.

Thiemann, Alexander, Junjie Fu, Felix Seifert, et al.. (2014). Genome-wide meta-analysis of maize heterosis reveals the potential role of additive gene expression at pericentromeric loci. BMC Plant Biology. 14(1). 88–88. 31 indexed citations

10.

Seifert, Felix, Alexander Thiemann, Heike Pospisil, & Stefan Scholten. (2012). Re-annotation of the maize oligonucleotide array. Maydica. 57(1). 49–55. 2 indexed citations

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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