Daniel Uddenberg

493 total citations
9 papers, 376 citations indexed

About

Daniel Uddenberg is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Daniel Uddenberg has authored 9 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 8 papers in Molecular Biology and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Daniel Uddenberg's work include Plant Molecular Biology Research (9 papers), Plant Reproductive Biology (8 papers) and Plant tissue culture and regeneration (3 papers). Daniel Uddenberg is often cited by papers focused on Plant Molecular Biology Research (9 papers), Plant Reproductive Biology (8 papers) and Plant tissue culture and regeneration (3 papers). Daniel Uddenberg collaborates with scholars based in Sweden, Spain and Mexico. Daniel Uddenberg's co-authors include Sara von Arnold, Jens F. Sundström, Annelie Carlsbecker, David E. Clapham, Prashanth Ramachandran, John Cairney, Guodong Wang, Emma Larsson, Eva Sundberg and Ana Elisa Valdés and has published in prestigious journals such as PLANT PHYSIOLOGY, New Phytologist and Frontiers in Plant Science.

In The Last Decade

Daniel Uddenberg

9 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Uddenberg Sweden 8 319 308 49 16 15 9 376
Rimjhim Roy Choudhury Switzerland 9 163 0.5× 169 0.5× 54 1.1× 18 1.1× 12 0.8× 16 267
Elizabeth Etherington United States 6 334 1.0× 292 0.9× 28 0.6× 15 0.9× 7 0.5× 8 385
David Pacheco-Villalobos Switzerland 6 439 1.4× 330 1.1× 30 0.6× 7 0.4× 4 0.3× 7 488
Kaija Keinonen Finland 7 420 1.3× 408 1.3× 26 0.5× 16 1.0× 9 0.6× 8 488
Chieh-Ting Wang Taiwan 7 271 0.8× 229 0.7× 39 0.8× 9 0.6× 8 0.5× 10 319
Nicole J. Forrester United States 8 152 0.5× 139 0.5× 121 2.5× 11 0.7× 19 1.3× 11 269
Rens Holmer Netherlands 5 205 0.6× 179 0.6× 65 1.3× 7 0.4× 16 1.1× 7 323
Wenhao Bo China 13 265 0.8× 183 0.6× 36 0.7× 17 1.1× 14 0.9× 33 380
Xavier Chiriboga Switzerland 10 225 0.7× 141 0.5× 23 0.5× 3 0.2× 9 0.6× 11 291
Yanlong Guan China 8 142 0.4× 131 0.4× 48 1.0× 5 0.3× 18 1.2× 11 233

Countries citing papers authored by Daniel Uddenberg

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Uddenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Uddenberg

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Uddenberg. A scholar is included among the top collaborators of Daniel Uddenberg 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 Daniel Uddenberg. Daniel Uddenberg 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.
Uddenberg, Daniel, et al.. (2016). Overexpression of PaHAP3A stimulates differentiation of ectopic embryos from maturing somatic embryos of Norway spruce. Tree Genetics & Genomes. 12(2). 14 indexed citations
2.
Uddenberg, Daniel, et al.. (2015). Sequenced genomes and rapidly emerging technologies pave the way for conifer evolutionary developmental biology. Frontiers in Plant Science. 6. 970–970. 19 indexed citations
3.
Valdés, Ana Elisa, et al.. (2015). PHABULOSA Mediates an Auxin Signaling Loop to Regulate Vascular Patterning in Arabidopsis. PLANT PHYSIOLOGY. 170(2). 956–970. 91 indexed citations
4.
Carlsbecker, Annelie, Jens F. Sundström, Marie Englund, et al.. (2013). Molecular control of normal and acrocona mutant seed cone development in Norway spruce (Picea abies) and the evolution of conifer ovule‐bearing organs. New Phytologist. 200(1). 261–275. 58 indexed citations
5.
Uddenberg, Daniel, Johan Reimegård, David E. Clapham, et al.. (2012). Early Cone Setting in Picea abies acrocona Is Associated with Increased Transcriptional Activity of a MADS Box Transcription Factor  . PLANT PHYSIOLOGY. 161(2). 813–823. 34 indexed citations
6.
Larsson, Emma, Daniel Uddenberg, John Cairney, et al.. (2011). Important processes during differentiation and early development of somatic embryos of Norway spruce as revealed by changes in global gene expression. BMC Proceedings. 5(S7). 42 indexed citations
9.
Larsson, Emma, Daniel Uddenberg, John Cairney, et al.. (2010). Important processes during differentiation and early development of somatic embryos of Norway spruce as revealed by changes in global gene expression. Tree Genetics & Genomes. 7(2). 347–362. 51 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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