Sanne Abeln

1.8k total citations
61 papers, 1.1k citations indexed

About

Sanne Abeln is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Sanne Abeln has authored 61 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 13 papers in Materials Chemistry and 8 papers in Spectroscopy. Recurrent topics in Sanne Abeln's work include Protein Structure and Dynamics (21 papers), Genomics and Phylogenetic Studies (13 papers) and Enzyme Structure and Function (11 papers). Sanne Abeln is often cited by papers focused on Protein Structure and Dynamics (21 papers), Genomics and Phylogenetic Studies (13 papers) and Enzyme Structure and Function (11 papers). Sanne Abeln collaborates with scholars based in Netherlands, United Kingdom and United States. Sanne Abeln's co-authors include Erik van Dijk, Daan Frenkel, Charlotte M. Deane, Jaap Heringa, Bernd W. Brandt, K. Anton Feenstra, Egija Zaura, Michele Vendruscolo, Marc Jan Bonder and Christopher M. Dobson and has published in prestigious journals such as Physical Review Letters, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Sanne Abeln

58 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sanne Abeln Netherlands	19	738	171	108	80	78	61	1.1k
Miguel Ángel Gutiérrez Andrade Mexico	9	670 0.9×	123 0.7×	57 0.5×	34 0.4×	39 0.5×	48	1.1k
Wouter G. Touw Netherlands	10	851 1.2×	268 1.6×	69 0.6×	56 0.7×	17 0.2×	14	1.2k
Alberto J. M. Martín Chile	16	1.2k 1.6×	299 1.7×	54 0.5×	45 0.6×	29 0.4×	54	1.5k
Nicholas M. Glykos Greece	18	926 1.3×	300 1.8×	48 0.4×	52 0.7×	26 0.3×	50	1.2k
Fabrizio Pucci Belgium	21	933 1.3×	251 1.5×	26 0.2×	59 0.7×	36 0.5×	58	1.3k
Christoph Gille Germany	17	937 1.3×	87 0.5×	148 1.4×	50 0.6×	16 0.2×	45	1.5k
Huamei Zhang China	16	611 0.8×	74 0.4×	147 1.4×	22 0.3×	28 0.4×	46	1.2k
Tod D. Romo United States	17	1.2k 1.6×	281 1.6×	31 0.3×	53 0.7×	28 0.4×	40	1.4k
Pablo Conesa Spain	14	1.1k 1.5×	152 0.9×	41 0.4×	135 1.7×	23 0.3×	29	1.5k
Xiao‐Jiang Feng United States	17	1.2k 1.6×	122 0.7×	82 0.8×	50 0.6×	18 0.2×	33	2.0k

Countries citing papers authored by Sanne Abeln

Since Specialization

Citations

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

Fields of papers citing papers by Sanne Abeln

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanne Abeln

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

All Works

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20 of 20 papers shown

Hond, Anne de, et al.. (2025). Explainable AI in healthcare: to explain, to predict, or to describe?. PubMed. 9(1). 29–29. 2 indexed citations

Larsen, Jacob Aunstrup, et al.. (2025). Probing the effect of the disordered flank regions on amyloid fibril growth and proliferation. RSC Advances. 15(26). 20668–20681. 2 indexed citations

Abeln, Sanne, Paul A. Dalby, Heidi Goenaga‐Infante, et al.. (2025). Neurofilament Light Chain under the Lens of Structural Mass Spectrometry. ACS Chemical Neuroscience. 16(2). 141–151. 4 indexed citations

Nieuwland, Rienk, et al.. (2024). Proteome encoded determinants of protein sorting into extracellular vesicles. SHILAP Revista de lepidopterología. 3(1). e120–e120. 6 indexed citations

Verberk, Inge M.W., et al.. (2024). The GFAP proteoform puzzle: How to advance GFAP as a fluid biomarker in neurological diseases. Journal of Neurochemistry. 169(1). e16226–e16226. 10 indexed citations

Ketelaars, Steven L. C., Gerrit A. Meijer, Mark Sausen, et al.. (2024). Abstract 2496: Molecular characterization of stage III colon cancer patients with recurrence after adjuvant chemotherapy. Cancer Research. 84(6_Supplement). 2496–2496.

Abeln, Sanne, et al.. (2022). PIPENN: protein interface prediction from sequence with an ensemble of neural nets. Bioinformatics. 38(8). 2111–2118. 13 indexed citations

Willemse, Eline A.J., et al.. (2022). Bioinformatics tools and data resources for assay development of fluid protein biomarkers. Biomarker Research. 10(1). 83–83. 10 indexed citations

Verhoeff, Jan, Sanne Abeln, & Juan J. García‐Vallejo. (2022). INFLECT: an R-package for cytometry cluster evaluation using marker modality. BMC Bioinformatics. 23(1). 487–487. 1 indexed citations

10.

Feenstra, K. Anton, et al.. (2022). Multi-task learning to leverage partially annotated data for PPI interface prediction. Scientific Reports. 12(1). 10487–10487. 8 indexed citations

11.

Hou, Qingzhen, et al.. (2021). SeRenDIP-CE: sequence-based interface prediction for conformational epitopes. Bioinformatics. 37(20). 3421–3427. 19 indexed citations

12.

Bouwmeester, Robbin, et al.. (2021). . Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 18 indexed citations

13.

Dijk, Erik van, Alexander Hofmann, Georg Groth, et al.. (2020). The hydrophobic effect characterises the thermodynamic signature of amyloid fibril growth. PLoS Computational Biology. 16(5). e1007767–e1007767. 37 indexed citations

14.

Willems, Stefan M., Sanne Abeln, K. Anton Feenstra, et al.. (2019). The potential use of big data in oncology. Oral Oncology. 98. 8–12. 34 indexed citations

15.

Jacobsen, Annika, Linda J.W. Bosch, Sanne R. Martens‐de Kemp, et al.. (2018). Aurora kinase A (AURKA) interaction with Wnt and Ras-MAPK signalling pathways in colorectal cancer. Scientific Reports. 8(1). 7522–7522. 42 indexed citations

16.

Velde, Arjan van der, et al.. (2015). Quantifying the Displacement of Mismatches in Multiple Sequence Alignment Benchmarks. PLoS ONE. 10(5). e0127431–e0127431. 4 indexed citations

17.

Abeln, Sanne, et al.. (2015). NGS-eval: NGS Error analysis and novel sequence VAriant detection tooL. Nucleic Acids Research. 43(W1). W301–W305. 14 indexed citations

18.

Abeln, Sanne, Michele Vendruscolo, Christopher M. Dobson, & Daan Frenkel. (2014). A Simple Lattice Model That Captures Protein Folding, Aggregation and Amyloid Formation. PLoS ONE. 9(1). e85185–e85185. 59 indexed citations

19.

Abeln, Sanne & Daan Frenkel. (2011). Accounting for Protein-Solvent Contacts Facilitates Design of Nonaggregating Lattice Proteins. Biophysical Journal. 100(3). 693–700. 17 indexed citations

20.

Abeln, Sanne & Daan Frenkel. (2011). Correction. Biophysical Journal. 101(4). 1014–1014. 1 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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