Natalie Rinis

442 total citations
10 papers, 297 citations indexed

About

Natalie Rinis is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Natalie Rinis has authored 10 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Oncology and 2 papers in Immunology. Recurrent topics in Natalie Rinis's work include Glycosylation and Glycoproteins Research (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Melanoma and MAPK Pathways (1 paper). Natalie Rinis is often cited by papers focused on Glycosylation and Glycoproteins Research (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Melanoma and MAPK Pathways (1 paper). Natalie Rinis collaborates with scholars based in Germany, United States and Israel. Natalie Rinis's co-authors include Gerhard Müller‐Newen, Joseph N. Contessa, Michael Sommerauer, Michael Vogt, Nicolas Chatain, Dirk Fahrenkamp, Jan E. Carette, Caleb Marceau, Andreas S. Puschnik and Karim Majzoub and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Natalie Rinis

10 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natalie Rinis Germany 7 152 99 96 46 34 10 297
Christine Frantz Canada 8 211 1.4× 98 1.0× 152 1.6× 35 0.8× 35 1.0× 9 453
Ryan T. Bishop United Kingdom 11 214 1.4× 75 0.8× 146 1.5× 17 0.4× 35 1.0× 25 417
Heng Yang China 10 178 1.2× 104 1.1× 186 1.9× 38 0.8× 38 1.1× 16 389
Mariana Justino de Almeida United States 7 396 2.6× 94 0.9× 60 0.6× 122 2.7× 33 1.0× 7 638
Takashi Ikeda Japan 12 270 1.8× 62 0.6× 61 0.6× 29 0.6× 15 0.4× 19 452
Luciane Sussuchi da Silva Brazil 11 192 1.3× 39 0.4× 76 0.8× 13 0.3× 32 0.9× 31 363
Ajinkya S. Kawale United States 10 376 2.5× 209 2.1× 143 1.5× 21 0.5× 51 1.5× 12 538
Khanh Bao Tran New Zealand 8 92 0.6× 30 0.3× 63 0.7× 44 1.0× 16 0.5× 13 234
Einat Almon Israel 11 298 2.0× 54 0.5× 137 1.4× 62 1.3× 13 0.4× 23 527
Emma Jakobsson Sweden 10 205 1.3× 47 0.5× 33 0.3× 24 0.5× 10 0.3× 13 341

Countries citing papers authored by Natalie Rinis

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Rinis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalie Rinis

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

All Works

10 of 10 papers shown
1.
Phoomak, Chatchai, Natalie Rinis, Marta Baro, et al.. (2023). Signal recognition particle receptor-β (SR-β) coordinates cotranslational N-glycosylation. Science Advances. 9(11). eade8079–eade8079. 2 indexed citations
2.
Hoffmann, Marcus, Natalie Rinis, René Hennig, et al.. (2021). Glycosyltransferase POMGNT1 deficiency strengthens N-cadherin-mediated cell–cell adhesion. Journal of Biological Chemistry. 296. 100433–100433. 6 indexed citations
3.
Rinis, Natalie, Ilia Kats, Günter Krämer, et al.. (2019). Translational Regulation of Pmt1 and Pmt2 by Bfr1 Affects Unfolded Protein O-Mannosylation. International Journal of Molecular Sciences. 20(24). 6220–6220. 4 indexed citations
4.
Puschnik, Andreas S., Caleb Marceau, Yaw Shin Ooi, et al.. (2017). A Small-Molecule Oligosaccharyltransferase Inhibitor with Pan-flaviviral Activity. Cell Reports. 21(11). 3032–3039. 59 indexed citations
5.
Shrimal, Shiteshu, Carol Khodier, Daniel P. Flaherty, et al.. (2016). Oligosaccharyltransferase inhibition induces senescence in RTK-driven tumor cells. Nature Chemical Biology. 12(12). 1023–1030. 84 indexed citations
6.
Rinis, Natalie, et al.. (2014). Intracellular signaling prevents effective blockade of oncogenic gp130 mutants by neutralizing antibodies. Cell Communication and Signaling. 12(1). 14–14. 12 indexed citations
7.
Detro‐Dassen, Silvia, Natalie Rinis, Dirk Fahrenkamp, et al.. (2013). Characterization of SLCO5A1/OATP5A1, a Solute Carrier Transport Protein with Non-Classical Function. PLoS ONE. 8(12). e83257–e83257. 24 indexed citations
8.
Fahrenkamp, Dirk, et al.. (2013). Dominant-negative activity of the STAT3-Y705F mutant depends on the N-terminal domain. Cell Communication and Signaling. 11(1). 83–83. 24 indexed citations
9.
Görtz, Dieter, et al.. (2013). Cellular uptake of fluorophore-labeled glyco-DNA–gold nanoparticles. Journal of Nanoparticle Research. 15(10). 1 indexed citations
10.
Chatain, Nicolas, et al.. (2011). Dynamics and non-canonical aspects of JAK/STAT signalling. European Journal of Cell Biology. 91(6-7). 524–532. 81 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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