Danny De Waele

1.3k total citations · 1 hit paper
6 papers, 984 citations indexed

About

Danny De Waele is a scholar working on Molecular Biology, Plant Science and Sociology and Political Science. According to data from OpenAlex, Danny De Waele has authored 6 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Plant Science and 1 paper in Sociology and Political Science. Recurrent topics in Danny De Waele's work include CRISPR and Genetic Engineering (2 papers), Genetically Modified Organisms Research (2 papers) and Gene Regulatory Network Analysis (2 papers). Danny De Waele is often cited by papers focused on CRISPR and Genetic Engineering (2 papers), Genetically Modified Organisms Research (2 papers) and Gene Regulatory Network Analysis (2 papers). Danny De Waele collaborates with scholars based in Belgium. Danny De Waele's co-authors include M. Holsters, Eric Messens, Marc Van Montagu, J. Schell, Ann Depicker, Linda Van Speybroeck, Yann Devos, Dirk Reheul and Pieter Maeseele and has published in prestigious journals such as BioEssays, Journal of Agricultural and Environmental Ethics and Acta Biotheoretica.

In The Last Decade

Danny De Waele

5 papers receiving 924 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Transfection and transformation of Agrobacterium tumefaciens

1978 887 citations M. Holsters, Danny De Waele et al. Molecular and General Genetics MGG profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Danny De Waele Belgium	4	753	685	254	39	35	6	984
Norimoto Murai United States	23	994 1.3×	1.0k 1.5×	362 1.4×	34 0.9×	31 0.9×	45	1.4k
Guy della-Cioppa United States	13	836 1.1×	787 1.1×	305 1.2×	14 0.4×	56 1.6×	19	1.2k
M. Axelos France	12	744 1.0×	722 1.1×	95 0.4×	37 0.9×	15 0.4×	18	1.0k
Hidehito Tsugawa Japan	8	983 1.3×	1.2k 1.7×	192 0.8×	17 0.4×	56 1.6×	9	1.4k
Ganesan Sunilkumar United States	10	712 0.9×	776 1.1×	247 1.0×	12 0.3×	18 0.5×	13	977
Peter Eckes Germany	15	562 0.7×	481 0.7×	157 0.6×	34 0.9×	32 0.9×	24	836
Philippe Marmey France	16	714 0.9×	941 1.4×	292 1.1×	16 0.4×	42 1.2×	32	1.2k
Joaquı́n Royo Spain	20	735 1.0×	1.1k 1.6×	103 0.4×	33 0.8×	124 3.5×	30	1.3k
Lan‐Ying Lee United States	20	1.4k 1.9×	1.2k 1.8×	407 1.6×	29 0.7×	92 2.6×	30	1.8k
Eugenia Barros South Africa	11	450 0.6×	397 0.6×	250 1.0×	25 0.6×	61 1.7×	23	659

Countries citing papers authored by Danny De Waele

Since Specialization

Citations

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

Fields of papers citing papers by Danny De Waele

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danny De Waele. 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 Danny De Waele. The network helps show where Danny De Waele may publish in the future.

Co-authorship network of co-authors of Danny De Waele

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

All Works

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6 of 6 papers shown

1.

Waele, Danny De, et al.. (2009). Ins and Outs of Systems Biology vis-à-vis Molecular Biology: Continuation or Clear Cut?. Acta Biotheoretica. 58(1). 15–49. 16 indexed citations

2.

Devos, Yann, Pieter Maeseele, Dirk Reheul, Linda Van Speybroeck, & Danny De Waele. (2007). Ethics in the Societal Debate on Genetically Modified Organisms: A (Re)Quest for Sense and Sensibility. Journal of Agricultural and Environmental Ethics. 21(1). 29–61. 51 indexed citations

3.

Devos, Yann, Dirk Reheul, Danny De Waele, & Linda Van Speybroeck. (2006). The interplay between societal concerns and the regulatory frame on GM crops in the European Union. PubMed. 5(3). 127–149. 26 indexed citations

4.

Speybroeck, Linda Van, et al.. (2005). The conceptual challenge of systems biology. BioEssays. 27(12). 1305–1307. 2 indexed citations

5.

Waele, Danny De. (1986). Taxonomical remarks concerning Trichodorus proximus Allen, T. eburneus De Waele & Carbonell and T. coomansi De Waele & Carbonell (Nematoda: Trichodoridae). Nematologica. 32(1). 115–117. 2 indexed citations

6.

Holsters, M., Danny De Waele, Ann Depicker, et al.. (1978). Transfection and transformation of Agrobacterium tumefaciens. Molecular and General Genetics MGG. 163(2). 181–187. 887 indexed citations breakdown →

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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