David Kradolfer

596 total citations
9 papers, 425 citations indexed

About

David Kradolfer is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, David Kradolfer has authored 9 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Plant Science, 3 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in David Kradolfer's work include Chromosomal and Genetic Variations (3 papers), Plant Molecular Biology Research (3 papers) and Plant nutrient uptake and metabolism (3 papers). David Kradolfer is often cited by papers focused on Chromosomal and Genetic Variations (3 papers), Plant Molecular Biology Research (3 papers) and Plant nutrient uptake and metabolism (3 papers). David Kradolfer collaborates with scholars based in Sweden, Switzerland and Germany. David Kradolfer's co-authors include Claudia Köhler, Elisabeth Hehenberger, Philip Wolff, Alexey Siretskiy, Hua Jiang, Lars Hennig, Susanne E. Ulbrich, Stefan Bauersachs, Erika Fröhli and Alex Hajnal and has published in prestigious journals such as Development, New Phytologist and Developmental Cell.

In The Last Decade

David Kradolfer

9 papers receiving 423 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Kradolfer Sweden 7 323 211 78 47 23 9 425
Anandita Singh India 10 435 1.3× 367 1.7× 108 1.4× 49 1.0× 8 0.3× 20 544
Colette L. Picard United States 12 644 2.0× 461 2.2× 129 1.7× 16 0.3× 5 0.2× 14 860
Hisato Okuizumi Japan 13 170 0.5× 265 1.3× 195 2.5× 12 0.3× 38 1.7× 29 426
Tianjing Wang China 10 402 1.2× 299 1.4× 66 0.8× 36 0.8× 10 0.4× 21 548
Oda Weiß Germany 6 232 0.7× 226 1.1× 25 0.3× 31 0.7× 4 0.2× 7 297
Goli Ardestani United States 12 100 0.3× 131 0.6× 47 0.6× 16 0.3× 11 0.5× 27 440
Wangsheng Zhu China 12 412 1.3× 294 1.4× 109 1.4× 16 0.3× 9 0.4× 20 541
Katrine N. Bjerkan Norway 8 350 1.1× 280 1.3× 64 0.8× 45 1.0× 7 0.3× 10 404
Tadzunu Suzuki Japan 8 559 1.7× 555 2.6× 35 0.4× 44 0.9× 4 0.2× 8 670
Aiko Iwata‐Otsubo United States 10 410 1.3× 229 1.1× 103 1.3× 20 0.4× 12 0.5× 23 475

Countries citing papers authored by David Kradolfer

Since Specialization
Citations

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

Fields of papers citing papers by David Kradolfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Kradolfer

This figure shows the co-authorship network connecting the top 25 collaborators of David Kradolfer. A scholar is included among the top collaborators of David Kradolfer 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 David Kradolfer. David Kradolfer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Yi, Jun, et al.. (2022). Meiocyte size is a determining factor for unreduced gamete formation in Arabidopsis thaliana. New Phytologist. 237(4). 1179–1187. 3 indexed citations
2.
Kradolfer, David, et al.. (2019). Differential transcriptome dynamics during the onset of conceptus elongation and between female and male porcine embryos. BMC Genomics. 20(1). 679–679. 14 indexed citations
3.
Lüttgenau, J., O. Wellnitz, David Kradolfer, et al.. (2016). Intramammary lipopolysaccharide infusion alters gene expression but does not induce lysis of the bovine corpus luteum. Journal of Dairy Science. 99(5). 4018–4031. 6 indexed citations
4.
Kradolfer, David, Rainer W. Fürst, Ralph Brehm, et al.. (2016). Epigenetic effects of prenatal estradiol-17β exposure on the reproductive system of pigs. Molecular and Cellular Endocrinology. 430(6). 125–137. 11 indexed citations
5.
Haag, Andrea, Peter L. Gutiérrez, Qiutan Yang, et al.. (2014). An In Vivo EGF Receptor Localization Screen in C. elegans Identifies the Ezrin Homolog ERM-1 as a Temporal Regulator of Signaling. PLoS Genetics. 10(5). e1004341–e1004341. 27 indexed citations
6.
Kradolfer, David, Lars Hennig, & Claudia Köhler. (2013). Increased Maternal Genome Dosage Bypasses the Requirement of the FIS Polycomb Repressive Complex 2 in Arabidopsis Seed Development. PLoS Genetics. 9(1). e1003163–e1003163. 57 indexed citations
7.
Kradolfer, David, Philip Wolff, Hua Jiang, Alexey Siretskiy, & Claudia Köhler. (2013). An Imprinted Gene Underlies Postzygotic Reproductive Isolation in Arabidopsis thaliana. Developmental Cell. 26(5). 525–535. 114 indexed citations
8.
Hehenberger, Elisabeth, David Kradolfer, & Claudia Köhler. (2012). Endosperm cellularization defines an important developmental transition for embryo development. Development. 139(11). 2031–2039. 179 indexed citations
9.
Köhler, Claudia & David Kradolfer. (2011). Epigenetic mechanisms in the endosperm and their consequences for the evolution of flowering plants. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1809(8). 438–443. 14 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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