A. Pluck

1.2k total citations · 2 hit papers
11 papers, 1.0k citations indexed

About

A. Pluck is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, A. Pluck has authored 11 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in A. Pluck's work include Muscle Physiology and Disorders (3 papers), Animal Genetics and Reproduction (3 papers) and Congenital heart defects research (3 papers). A. Pluck is often cited by papers focused on Muscle Physiology and Disorders (3 papers), Animal Genetics and Reproduction (3 papers) and Congenital heart defects research (3 papers). A. Pluck collaborates with scholars based in United Kingdom, Germany and United States. A. Pluck's co-authors include J. B. Gurdon, Nick Hopwood, Stephen M. Dilworth, Colin Sharpe, Christian Klasen, Samir Tawadros, Thomas Fischer, Klaus Schomäcker, Frank Berthold and Joachim L. Schultze and has published in prestigious journals such as Cell, The EMBO Journal and Development.

In The Last Decade

A. Pluck

11 papers receiving 977 citations

Hit Papers

MyoD expression in the forming somites is an early respon... 1989 2026 2001 2013 1989 1989 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Pluck United Kingdom 8 948 207 108 107 58 11 1.0k
Gogineni Ranganayakulu United States 7 802 0.8× 159 0.8× 138 1.3× 235 2.2× 86 1.5× 11 954
Christelle Etard Germany 15 756 0.8× 238 1.1× 156 1.4× 73 0.7× 157 2.7× 21 909
Harri Hirvonen Finland 7 743 0.8× 244 1.2× 73 0.7× 78 0.7× 34 0.6× 9 968
Change Tan United States 13 869 0.9× 182 0.9× 205 1.9× 119 1.1× 14 0.2× 15 1.0k
Sumito Koshida Japan 16 1.1k 1.1× 249 1.2× 351 3.3× 85 0.8× 86 1.5× 19 1.3k
Rika Nakayama Japan 16 804 0.8× 172 0.8× 172 1.6× 74 0.7× 23 0.4× 22 1.1k
Norma Towers United Kingdom 17 769 0.8× 162 0.8× 68 0.6× 35 0.3× 91 1.6× 22 867
Nannan Chang China 11 918 1.0× 212 1.0× 154 1.4× 44 0.4× 58 1.0× 15 1.1k
Lani A. Gossett United States 9 733 0.8× 139 0.7× 55 0.5× 76 0.7× 143 2.5× 9 931
Kevin A. Peterson United States 16 919 1.0× 191 0.9× 84 0.8× 61 0.6× 19 0.3× 23 1.0k

Countries citing papers authored by A. Pluck

Since Specialization
Citations

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

Fields of papers citing papers by A. Pluck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Pluck

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

All Works

11 of 11 papers shown
1.
Pluck, A. & Christian Klasen. (2009). Generation of Chimeras by Morula Aggregation. Methods in molecular biology. 561. 219–229. 7 indexed citations
2.
Pluck, A. & Christian Klasen. (2009). Surgical Techniques for the Generation of Mutant Mice. Methods in molecular biology. 561. 231–243. 3 indexed citations
3.
Pluck, A. & Christian Klasen. (2009). Generation of Chimeras by Microinjection. Methods in molecular biology. 199–217. 20 indexed citations
4.
Jensen, Markus, Sandra Schmitz, Samir Tawadros, et al.. (2007). One Step Generation of Fully Chimeric Antibodies Using Cγ1- and Cκ Mutant Mice. Journal of Immunotherapy. 30(3). 338–349. 2 indexed citations
5.
Pluck, A.. (1996). Conditional mutagenesis in mice: the Cre/loxP recombination system.. PubMed. 77(6). 269–78. 34 indexed citations
6.
Hopwood, Nick, A. Pluck, J. B. Gurdon, & Stephen M. Dilworth. (1992). Expression of XMyoD protein in early Xenopus laevis embryos. Development. 114(1). 31–38. 84 indexed citations
7.
Hopwood, Nick, A. Pluck, & J. B. Gurdon. (1991). Xenopus Myf-5 marks early muscle cells and can activate muscle genes ectopically in early embryos. Development. 111(2). 551–560. 156 indexed citations
8.
Hopwood, Nick, A. Pluck, & J. B. Gurdon. (1989). A Xenopus mRNA related to Drosophila twist is expressed in response to induction in the mesoderm and the neural crest. Cell. 59(5). 893–903. 294 indexed citations breakdown →
9.
Hopwood, Nick, A. Pluck, & J. B. Gurdon. (1989). MyoD expression in the forming somites is an early response to mesoderm induction in Xenopus embryos.. The EMBO Journal. 8(11). 3409–3417. 344 indexed citations breakdown →
10.
Hopwood, Nick, A. Pluck, & J. B. Gurdon. (1989). MyoD expression in the forming somites is an early response to mesoderm induction in Xenopus embryos. Trends in Genetics. 5. 363–363. 18 indexed citations
11.
Sharpe, Colin, A. Pluck, & J. B. Gurdon. (1989). XIF3, a Xenopus peripherin gene, requires an inductive signal for enhanced expression in anterior neural tissue. Development. 107(4). 701–714. 59 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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