Nina Schiller

485 total citations
8 papers, 291 citations indexed

About

Nina Schiller is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Nina Schiller has authored 8 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Cell Biology. Recurrent topics in Nina Schiller's work include RNA Interference and Gene Delivery (3 papers), Lipid Membrane Structure and Behavior (3 papers) and RNA and protein synthesis mechanisms (3 papers). Nina Schiller is often cited by papers focused on RNA Interference and Gene Delivery (3 papers), Lipid Membrane Structure and Behavior (3 papers) and RNA and protein synthesis mechanisms (3 papers). Nina Schiller collaborates with scholars based in Sweden, United States and Canada. Nina Schiller's co-authors include Gunnar von Heijne, Nurzian Ismail, Rickard Hedman, Martin B. Ulmschneider, Stephen H. White, B.A. Wallace, Jakob P. Ulmschneider, A. Tallentire, E. L. Powers and Otto Berninghausen and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Biochemistry.

In The Last Decade

Nina Schiller

8 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nina Schiller Sweden	5	263	83	30	26	26	8	291
Gilles Ferrat France	11	345 1.3×	179 2.2×	8 0.3×	14 0.5×	46 1.8×	14	403
Lukas Bischoff Germany	4	355 1.3×	148 1.8×	63 2.1×	22 0.8×	5 0.2×	4	377
John C. Zinder United States	10	487 1.9×	60 0.7×	25 0.8×	9 0.3×	8 0.3×	11	552
Vladimir A. Shirokov Russia	13	482 1.8×	68 0.8×	48 1.6×	9 0.3×	16 0.6×	24	552
E. Svidritskiy United States	12	349 1.3×	60 0.7×	31 1.0×	16 0.6×	10 0.4×	14	390
Ryan J. Austin United States	7	382 1.5×	26 0.3×	32 1.1×	14 0.5×	19 0.7×	9	408
Srinivasan Sundararaj Australia	9	202 0.8×	66 0.8×	18 0.6×	8 0.3×	6 0.2×	13	333
Karin Öjemalm Sweden	9	233 0.9×	63 0.8×	22 0.7×	50 1.9×	10 0.4×	10	275
Annika Müller-Lucks Germany	6	309 1.2×	82 1.0×	35 1.2×	29 1.1×	2 0.1×	6	335
Mark Geanacopoulos United States	9	313 1.2×	202 2.4×	70 2.3×	16 0.6×	5 0.2×	13	401

Countries citing papers authored by Nina Schiller

Since Specialization

Citations

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

Fields of papers citing papers by Nina Schiller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Schiller

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Schiller. A scholar is included among the top collaborators of Nina Schiller 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 Nina Schiller. Nina Schiller 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

Lara, Patricia, Hourinaz Behesti, Nina Schiller, et al.. (2019). Murine astrotactins 1 and 2 have a similar membrane topology and mature via endoproteolytic cleavage catalyzed by a signal peptidase. Journal of Biological Chemistry. 294(12). 4538–4545. 2 indexed citations

Shanmuganathan, Vivekanandan, Nina Schiller, Jingdong Cheng, et al.. (2019). Structural and mutational analysis of the ribosome-arresting human XBP1u. eLife. 8. 52 indexed citations

Sato, Yoko, Kei Nanatani, Jong-Kook Lee, et al.. (2016). The topogenic function of S4 promotes membrane insertion of the voltage-sensor domain in the KvAP channel. Biochemical Journal. 473(23). 4361–4372. 4 indexed citations

Stone, Tracy A., et al.. (2016). Hydrophobic Clusters Raise the Threshold Hydrophilicity for Insertion of Transmembrane Sequences in Vivo. Biochemistry. 55(40). 5772–5779. 4 indexed citations

Stone, Tracy A., Nina Schiller, Gunnar von Heijne, & Charles M. Deber. (2015). Hydrophobic Blocks Facilitate Lipid Compatibility and Translocon Recognition of Transmembrane Protein Sequences. Biochemistry. 54(7). 1465–1473. 5 indexed citations

Ulmschneider, Martin B., Jakob P. Ulmschneider, Nina Schiller, et al.. (2014). Spontaneous transmembrane helix insertion thermodynamically mimics translocon-guided insertion. Nature Communications. 5(1). 4863–4863. 85 indexed citations

Ismail, Nurzian, Rickard Hedman, Nina Schiller, & Gunnar von Heijne. (2012). A biphasic pulling force acts on transmembrane helices during translocon-mediated membrane integration. Nature Structural & Molecular Biology. 19(10). 1018–1022. 119 indexed citations

Tallentire, A., Nina Schiller, & E. L. Powers. (1968). 2,3-Butanedione, an Electron-stabilizing Compound, as a Modifier of Sensitivity ofBacillus MegateriumSpores to X-rays. International Journal of Radiation Biology and Related Studies in Physics Chemistry and Medicine. 14(5). 397–402. 20 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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