Wim Gaastra

211 total papers · 12.3k total citations
170 papers, 8.9k citations indexed

About

Wim Gaastra is a scholar working on Endocrinology, Molecular Biology and Genetics. According to data from OpenAlex, Wim Gaastra has authored 170 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Endocrinology, 62 papers in Molecular Biology and 52 papers in Genetics. Recurrent topics in Wim Gaastra's work include Escherichia coli research studies (53 papers), Bacterial Genetics and Biotechnology (43 papers) and Bacteriophages and microbial interactions (29 papers). Wim Gaastra is often cited by papers focused on Escherichia coli research studies (53 papers), Bacterial Genetics and Biotechnology (43 papers) and Bacteriophages and microbial interactions (29 papers). Wim Gaastra collaborates with scholars based in Netherlands, Denmark and Vietnam. Wim Gaastra's co-authors include F K de Graaf, Leo M. Schouls, Ruud Jansen, Jan D. A. van Embden, Len J.A. Lipman, B A van der Zeijst, Engeline van Duijkeren, Jaap J. Beintema, An T.T. Vo and Ad C. Fluit and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Wim Gaastra

165 papers receiving 8.3k citations

Hit Papers

Identification of genes t... 1982 2026 1996 2011 2002 1982 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Wim Gaastra 3.5k 2.9k 2.0k 1.8k 1.5k 170 8.9k
Arnold G. Steigerwalt 3.2k 0.9× 2.7k 0.9× 1.3k 0.7× 1.2k 0.7× 2.9k 1.9× 170 11.8k
Richard A. Strugnell 3.1k 0.9× 2.0k 0.7× 1.2k 0.6× 1.2k 0.7× 1.8k 1.2× 224 9.7k
Alfredo G. Torres 2.6k 0.7× 4.1k 1.4× 1.6k 0.8× 1.7k 0.9× 2.6k 1.7× 188 8.8k
Josée Harel 2.1k 0.6× 2.7k 0.9× 1.5k 0.8× 986 0.6× 2.1k 1.4× 150 7.8k
D J Brenner 5.1k 1.4× 5.4k 1.9× 2.4k 1.2× 1.6k 0.9× 3.5k 2.3× 231 16.0k
Itzhak Ofek 3.5k 1.0× 2.5k 0.9× 1.3k 0.7× 776 0.4× 1.8k 1.2× 184 10.8k
R K Selander 2.7k 0.8× 2.5k 0.9× 2.0k 1.0× 1.6k 0.9× 1.6k 1.0× 98 9.7k
Duncan J. Maskell 3.7k 1.1× 3.1k 1.1× 4.2k 2.2× 1.8k 1.0× 3.0k 2.0× 241 12.4k
David A. Rasko 6.6k 1.9× 4.8k 1.7× 2.1k 1.1× 2.5k 1.4× 2.8k 1.8× 195 13.4k
H. Williams Smith 1.5k 0.4× 3.2k 1.1× 2.2k 1.1× 974 0.6× 2.4k 1.6× 129 7.9k

Countries citing papers authored by Wim Gaastra

Since Specialization
Citations

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

Fields of papers citing papers by Wim Gaastra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wim Gaastra

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

All Works

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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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