Celine Sin

832 citations
12 papers · 477 · h-index 8

Impact in

    • RNA and protein synthesis mechanisms
    • Ubiquitin and proteasome pathways
    • Protein Degradation and Inhibitors
    • RNA modifications and cancer
    • RNA Research and Splicing

Papers in

    • RNA modifications and cancer 3
    • RNA and protein synthesis mechanisms 3
    • Bioinformatics and Genomic Networks 2
    • Single-cell and spatial transcriptomics 2
    • RNA Research and Splicing 2
    • Complex Network Analysis Techniques 2

Celine Sin

12 papers receiving 473 citations

Peers

Celine Sin
Comparison fields: 5 of 85
  • Molecular Biology 398
  • Cell Biology 64
  • Oncology 72
  • Spectroscopy 47
  • Genetics 57
Replace David‐Paul Minde with:
David‐Paul Minde Netherlands
D. Andrew James Canada
Carmen Aguilar‐Gurrieri Spain
Kari Salokas Finland
Tamás Lázár Belgium
Françoise Ochsenbein France
Gaurav Mishra India
Filip Mundt Germany
Nicolas D. Werbeck Germany
Lisa M. Tuttle United States
Celine Sin relative to David‐Paul Minde Netherlands David‐Paul Minde's profile →
Citations per field
00.5×1.7×
David‐Paul Minde · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Celine Sin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Celine Sin Line = papers co-authored together Celine Sin links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2016220
2 201974
3 201661
4 201651
5 202138
6 20169
7 20158
8 20237
9 20224
10 20253
11 20211
12 20261

About Celine Sin

Celine Sin is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Radiology, Nuclear Medicine and Imaging, Spectroscopy and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 477 indexed citations. Recurring topics across this work include RNA modifications and cancer (3 papers), RNA and protein synthesis mechanisms (3 papers), Bioinformatics and Genomic Networks (2 papers), Single-cell and spatial transcriptomics (2 papers), Complex Network Analysis Techniques (2 papers), RNA Research and Splicing (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Molecular Biology (398 citations), Cell Biology (64 citations), Oncology (72 citations), Spectroscopy (47 citations) and Genetics (57 citations). Celine Sin has collaborated with scholars based in Austria, Germany and France. Frequent co-authors include Angelo Valleriani, Davide Chiarugi, Jonathan N. Wells, Neysan Donnelly, Jingyi Hou, Erik McShane, Xi Wang, Wei Chen, Joseph A. Marsh and Matthias Selbach. Their work appears in journals such as Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Nature Biotechnology, Nature Communications, Molecular Cell and Nature Computational Science.

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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