Celine Sin

803 total citations
11 papers, 455 citations indexed

About

Celine Sin is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Celine Sin has authored 11 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Statistical and Nonlinear Physics and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Celine Sin's work include RNA modifications and cancer (3 papers), RNA and protein synthesis mechanisms (3 papers) and Single-cell and spatial transcriptomics (2 papers). Celine Sin is often cited by papers focused on RNA modifications and cancer (3 papers), RNA and protein synthesis mechanisms (3 papers) and Single-cell and spatial transcriptomics (2 papers). Celine Sin collaborates with scholars based in Austria, Germany and Slovakia. Celine Sin's co-authors include Angelo Valleriani, Davide Chiarugi, Erik McShane, Jingyi Hou, Neysan Donnelly, Joseph A. Marsh, Henrik Zauber, Xi Wang, Wei Chen and Zuzana Štorchová and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Celine Sin

11 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Celine Sin Austria	7	389	71	64	56	46	11	455
David‐Paul Minde Netherlands	12	470 1.2×	55 0.8×	102 1.6×	47 0.8×	26 0.6×	16	587
D. Andrew James Canada	11	463 1.2×	45 0.6×	58 0.9×	61 1.1×	104 2.3×	18	593
Françoise Ochsenbein France	16	720 1.9×	39 0.5×	77 1.2×	54 1.0×	36 0.8×	32	776
Peter Vanhee Spain	8	616 1.6×	57 0.8×	33 0.5×	87 1.6×	29 0.6×	10	710
Matija Dreze United States	8	671 1.7×	42 0.6×	97 1.5×	59 1.1×	66 1.4×	11	772
Craig J. Markin Canada	9	300 0.8×	43 0.6×	32 0.5×	26 0.5×	23 0.5×	14	374
Tina Perica United Kingdom	10	490 1.3×	30 0.4×	55 0.9×	59 1.1×	40 0.9×	12	551
Timothy S. Strutzenberg United States	13	463 1.2×	66 0.9×	33 0.5×	32 0.6×	48 1.0×	21	617
Changyu Fan United States	6	431 1.1×	31 0.4×	43 0.7×	57 1.0×	25 0.5×	8	525
Stephen M. Lukasik United States	10	535 1.4×	33 0.5×	41 0.6×	58 1.0×	50 1.1×	11	657

Countries citing papers authored by Celine Sin

Since Specialization

Citations

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

Fields of papers citing papers by Celine Sin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Celine Sin

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

All Works

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11 of 11 papers shown

Malzl, Daniel, Salvo Danilo Lombardo, Anna Hakobyan, et al.. (2025). Multimodal learning enables chat-based exploration of single-cell data. Nature Biotechnology. 1 indexed citations

Bal, Sevgi Köstel, Salvo Danilo Lombardo, Felix Müller, et al.. (2023). AutoCore: A network-based definition of the core module of human autoimmunity and autoinflammation. Science Advances. 9(35). eadg6375–eadg6375. 5 indexed citations

Sin, Celine, et al.. (2022). Network cartographs for interpretable visualizations. Nature Computational Science. 2(2). 84–89. 4 indexed citations

Müller, Felix, et al.. (2021). menchelab/VRNetzer: VRNetzer v1.1. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Müller, Felix, Júlia Pázmándi, Celine Sin, et al.. (2021). The VRNetzer platform enables interactive network analysis in Virtual Reality. Nature Communications. 12(1). 2432–2432. 34 indexed citations

Mayor‐Ruiz, Cristina, Martin G. Jaeger, Sophie Bauer, et al.. (2019). Plasticity of the Cullin-RING Ligase Repertoire Shapes Sensitivity to Ligand-Induced Protein Degradation. Molecular Cell. 75(4). 849–858.e8. 73 indexed citations

Sin, Celine, Davide Chiarugi, & Angelo Valleriani. (2016). Degradation Parameters from Pulse-Chase Experiments. PLoS ONE. 11(5). e0155028–e0155028. 8 indexed citations

Sin, Celine, Davide Chiarugi, & Angelo Valleriani. (2016). Quantitative assessment of ribosome drop-off inE. coli. Nucleic Acids Research. 44(6). 2528–2537. 49 indexed citations

McShane, Erik, Celine Sin, Henrik Zauber, et al.. (2016). Kinetic Analysis of Protein Stability Reveals Age-Dependent Degradation. Cell. 167(3). 803–815.e21. 212 indexed citations

10.

Bartholomäus, Alexander, Peter E. Feist, Celine Sin, et al.. (2016). Bacteria differently regulate mRNA abundance to specifically respond to various stresses. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 374(2063). 20150069–20150069. 61 indexed citations

11.

Sin, Celine, Davide Chiarugi, & Angelo Valleriani. (2015). Single-molecule modeling of mRNA degradation by miRNA: Lessons from data. BMC Systems Biology. 9(S3). S2–S2. 7 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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