Ben Tucker

12 total papers · 517 total citations
9 papers, 397 citations indexed

About

Ben Tucker is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Ben Tucker has authored 9 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Genetics. Recurrent topics in Ben Tucker's work include RNA Research and Splicing (3 papers), RNA modifications and cancer (3 papers) and Nuclear Receptors and Signaling (2 papers). Ben Tucker is often cited by papers focused on RNA Research and Splicing (3 papers), RNA modifications and cancer (3 papers) and Nuclear Receptors and Signaling (2 papers). Ben Tucker collaborates with scholars based in Australia, United States and Germany. Ben Tucker's co-authors include Michael Lardelli, Robert I. Richards, Svanhild Nornes, Morgan Newman, Simon Wells, Tanya L. Henshall, Amanda L. Lumsden, Alister C. Ward, Giuseppe Verdile and Cristi L. Stoick-Cooper and has published in prestigious journals such as Human Molecular Genetics, Journal of Alzheimer s Disease and Development Genes and Evolution.

In The Last Decade

Ben Tucker

9 papers receiving 390 citations

Author Peers

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

Author						Papers	Cites
Ben Tucker	231	110	109	82	69	9	397
Oxana Kapitansky	211 0.9×	85 0.8×	66 0.6×	105 1.3×	53 0.8×	13	396
Nadia Bahi	193 0.8×	154 1.4×	127 1.2×	77 0.9×	38 0.6×	7	388
Gillian Seaton	247 1.1×	49 0.4×	101 0.9×	101 1.2×	38 0.6×	11	430
Olga Varea	190 0.8×	133 1.2×	53 0.5×	100 1.2×	51 0.7×	6	357
Nils Rademacher	274 1.2×	153 1.4×	65 0.6×	143 1.7×	40 0.6×	11	401
Asami Sakamoto	221 1.0×	89 0.8×	70 0.6×	39 0.5×	39 0.6×	11	355
Alessandro Ciccarelli	171 0.7×	52 0.5×	41 0.4×	118 1.4×	34 0.5×	13	344
Yukari Hayashi	223 1.0×	48 0.4×	54 0.5×	152 1.9×	26 0.4×	8	403
Ave Eesmaa	145 0.6×	62 0.6×	124 1.1×	160 2.0×	24 0.3×	8	386
Nico Angliker	258 1.1×	52 0.5×	58 0.5×	104 1.3×	17 0.2×	7	369

Countries citing papers authored by Ben Tucker

Since Specialization

Citations

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

Fields of papers citing papers by Ben Tucker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Tucker

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Tucker. A scholar is included among the top collaborators of Ben Tucker 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 Ben Tucker. Ben Tucker 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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