Arne Soete

960 total citations · 1 hit paper
8 papers, 622 citations indexed

About

Arne Soete is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Arne Soete has authored 8 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Immunology. Recurrent topics in Arne Soete's work include RNA and protein synthesis mechanisms (3 papers), Cytokine Signaling Pathways and Interactions (2 papers) and RNA Research and Splicing (2 papers). Arne Soete is often cited by papers focused on RNA and protein synthesis mechanisms (3 papers), Cytokine Signaling Pathways and Interactions (2 papers) and RNA Research and Splicing (2 papers). Arne Soete collaborates with scholars based in Belgium, South Korea and United States. Arne Soete's co-authors include Yvan Saeys, Joke Reumers, Jason Chen, Morgane Boone, Irma Lemmens, Nadine Van Roy, Leander Meuris, Matthieu Moisse, Yves Van de Peer and Radoje Drmanac and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Arne Soete

8 papers receiving 616 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.

Genome dynamics of the human embryonic kidney 293 lineage in response to cell biology manipulations

2014 388 citations Yao‐Cheng Lin, Morgane Boone et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arne Soete Belgium	6	457	95	68	62	56	8	622
J. Guhaniyogi United States	5	546 1.2×	72 0.8×	89 1.3×	87 1.4×	67 1.2×	5	697
Takashi Ishii Japan	16	460 1.0×	89 0.9×	49 0.7×	90 1.5×	61 1.1×	43	755
Justyna Iwaszkiewicz Switzerland	16	363 0.8×	70 0.7×	57 0.8×	93 1.5×	74 1.3×	28	554
Keun‐Cheol Kim South Korea	16	569 1.2×	85 0.9×	104 1.5×	54 0.9×	113 2.0×	38	784
Simone Kersten Netherlands	6	268 0.6×	152 1.6×	71 1.0×	103 1.7×	34 0.6×	9	513
Semyon Kolmykov Russia	9	384 0.8×	78 0.8×	92 1.4×	54 0.9×	37 0.7×	19	528
Wenhao Yu China	13	381 0.8×	50 0.5×	88 1.3×	84 1.4×	35 0.6×	27	601
Stephanie L. Chissoe United States	14	390 0.9×	191 2.0×	53 0.8×	53 0.9×	55 1.0×	20	698
Hyun‐Jun Nam South Korea	9	501 1.1×	223 2.3×	49 0.7×	38 0.6×	52 0.9×	15	763

Countries citing papers authored by Arne Soete

Since Specialization

Citations

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

Fields of papers citing papers by Arne Soete

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arne Soete

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

All Works

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8 of 8 papers shown

1.

Bloch, Yehudi, Kerry White, Jing Hua, et al.. (2022). Structural basis of activation and antagonism of receptor signaling mediated by interleukin-27. Cell Reports. 41(3). 111490–111490. 11 indexed citations

2.

Bloch, Yehudi, Kerry White, Daniel L. Aldridge, et al.. (2022). Structural Basis of Activation and Antagonism of Receptor Signaling Mediated by Interleukin-27. SSRN Electronic Journal. 1 indexed citations

3.

Zuallaert, Jasper, Fréderic Godin, Mi-Jung Kim, et al.. (2018). SpliceRover: interpretable convolutional neural networks for improved splice site prediction. Bioinformatics. 34(24). 4180–4188. 80 indexed citations

4.

Zuallaert, Jasper, et al.. (2018). TISRover: ConvNets learn biologically relevant features for effective translation initiation site prediction. International Journal of Data Mining and Bioinformatics. 20(3). 267–267. 13 indexed citations

5.

Kreft, Łukasz, Arne Soete, Paco Hulpiau, et al.. (2017). ConTra v3: a tool to identify transcription factor binding sites across species, update 2017. Nucleic Acids Research. 45(W1). W490–W494. 99 indexed citations

6.

Lin, Yao‐Cheng, Morgane Boone, Leander Meuris, et al.. (2014). Genome dynamics of the human embryonic kidney 293 lineage in response to cell biology manipulations. Nature Communications. 5(1). 4767–4767. 388 indexed citations breakdown →

7.

Boone, Morgane, Yao‐Cheng Lin, Leander Meuris, et al.. (2014). Genome dynamics of the human embryonic kidney 293 (HEK293) lineage in response to cell biology manipulations. New Biotechnology. 31. S71–S72. 4 indexed citations

8.

Soete, Arne, et al.. (2013). PhysBinder: improving the prediction of transcription factor binding sites by flexible inclusion of biophysical properties. Nucleic Acids Research. 41(W1). W531–W534. 26 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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