Sofie V. Nielsen

1.1k total citations
17 papers, 704 citations indexed

About

Sofie V. Nielsen is a scholar working on Molecular Biology, Cell Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Sofie V. Nielsen has authored 17 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Cell Biology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Sofie V. Nielsen's work include Ubiquitin and proteasome pathways (7 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Genetic factors in colorectal cancer (4 papers). Sofie V. Nielsen is often cited by papers focused on Ubiquitin and proteasome pathways (7 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Genetic factors in colorectal cancer (4 papers). Sofie V. Nielsen collaborates with scholars based in Denmark, United Kingdom and Germany. Sofie V. Nielsen's co-authors include Rasmus Hartmann‐Petersen, Kresten Lindorff‐Larsen, Amelie Stein, Niels Mailand, David Komander, Stefan M.V. Freund, Kirstin Keusekotten, P.R. Elliott, Berthe Katrine Fiil and Paola Marco‐Casanova and has published in prestigious journals such as Molecular Cell, British Journal of Cancer and Nature Structural & Molecular Biology.

In The Last Decade

Sofie V. Nielsen

16 papers receiving 701 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sofie V. Nielsen Denmark	13	628	168	101	97	90	17	704
Montserrat Jaumot Spain	17	687 1.1×	166 1.0×	67 0.7×	44 0.5×	239 2.7×	32	932
Anhco Nguyen United States	6	1.1k 1.7×	185 1.1×	118 1.2×	159 1.6×	308 3.4×	7	1.2k
Ann M. Winter-Vann United States	9	608 1.0×	106 0.6×	99 1.0×	52 0.5×	182 2.0×	11	771
Sang‐Min Jang South Korea	16	507 0.8×	69 0.4×	106 1.0×	49 0.5×	126 1.4×	44	634
Theresia Dunzendorfer-Matt Austria	11	413 0.7×	154 0.9×	53 0.5×	39 0.4×	128 1.4×	19	590
She Chen United States	7	734 1.2×	259 1.5×	93 0.9×	30 0.3×	115 1.3×	7	988
Jana Qiao United States	8	864 1.4×	100 0.6×	70 0.7×	52 0.5×	231 2.6×	9	1.0k
Fumi Shima Japan	17	859 1.4×	206 1.2×	50 0.5×	45 0.5×	99 1.1×	26	1.0k
S. V. Khoronenkova United Kingdom	17	1.0k 1.6×	83 0.5×	121 1.2×	115 1.2×	382 4.2×	29	1.2k
Mark R. Woodford United States	17	780 1.2×	167 1.0×	102 1.0×	30 0.3×	61 0.7×	45	914

Countries citing papers authored by Sofie V. Nielsen

Since Specialization

Citations

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

Fields of papers citing papers by Sofie V. Nielsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sofie V. Nielsen. 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 Sofie V. Nielsen. The network helps show where Sofie V. Nielsen may publish in the future.

Co-authorship network of co-authors of Sofie V. Nielsen

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

All Works

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17 of 17 papers shown

Lindemose, Søren, Sofie V. Nielsen, Kresten Lindorff‐Larsen, et al.. (2024). Systematic characterization of indel variants using a yeast-based protein folding sensor. Structure. 33(2). 262–273.e6.

Nielsen, Sofie V., et al.. (2022). Lynch syndrome, molecular mechanisms and variant classification. British Journal of Cancer. 128(5). 726–734. 21 indexed citations

Nielsen, Sofie V., Søren Lindemose, Tommer Ravid, et al.. (2022). Disease-linked mutations cause exposure of a protein quality control degron. Structure. 30(9). 1245–1253.e5. 17 indexed citations

Cagiada, Matteo, Kristoffer E. Johansson, Sofie V. Nielsen, et al.. (2021). Understanding the Origins of Loss of Protein Function by Analyzing the Effects of Thousands of Variants on Activity and Abundance. Molecular Biology and Evolution. 38(8). 3235–3246. 67 indexed citations

Nielsen, Sofie V., Rasmus Hartmann‐Petersen, Amelie Stein, & Kresten Lindorff‐Larsen. (2021). Multiplexed assays reveal effects of missense variants in MSH2 and cancer predisposition. PLoS Genetics. 17(4). e1009496–e1009496. 9 indexed citations

Nielsen, Sofie V., et al.. (2020). Co-Chaperones in Targeting and Delivery of Misfolded Proteins to the 26S Proteasome. Biomolecules. 10(8). 1141–1141. 30 indexed citations

Clausen, Lene, Amelie Stein, Sofie V. Nielsen, et al.. (2020). Folliculin variants linked to Birt-Hogg-Dubé syndrome are targeted for proteasomal degradation. PLoS Genetics. 16(11). e1009187–e1009187. 23 indexed citations

Stein, Amelie, Sofie V. Nielsen, Anne‐Marie Gerdes, et al.. (2019). Toward mechanistic models for genotype–phenotype correlations in phenylketonuria using protein stability calculations. Human Mutation. 40(4). 444–457. 40 indexed citations

Stein, Amelie, Sofie V. Nielsen, Elena Papaleo, et al.. (2019). Computational and cellular studies reveal structural destabilization and degradation of MLH1 variants in Lynch syndrome. eLife. 8. 40 indexed citations

10.

Nielsen, Sofie V., Amelie Stein, Elena Papaleo, et al.. (2017). Predicting the impact of Lynch syndrome-causing missense mutations from structural calculations. PLoS Genetics. 13(4). e1006739–e1006739. 65 indexed citations

11.

Nielsen, Sofie V., Lene Clausen, Amelie Stein, et al.. (2017). Blocking protein quality control to counter hereditary cancers. Genes Chromosomes and Cancer. 56(12). 823–831. 18 indexed citations

12.

Boomsma, Wouter, Sofie V. Nielsen, Kresten Lindorff‐Larsen, Rasmus Hartmann‐Petersen, & Lars Ellgaard. (2016). Bioinformatics analysis identifies several intrinsically disordered human E3 ubiquitin-protein ligases. PeerJ. 4. e1725–e1725. 23 indexed citations

13.

Poulsen, Esben G., et al.. (2016). High-Throughput siRNA Screening Applied to the Ubiquitin–Proteasome System. Methods in molecular biology. 1449. 421–439. 2 indexed citations

14.

Kriegenburg, Franziska, Esben G. Poulsen, Sofie V. Nielsen, et al.. (2014). A Chaperone-Assisted Degradation Pathway Targets Kinetochore Proteins to Ensure Genome Stability. PLoS Genetics. 10(1). e1004140–e1004140. 47 indexed citations

15.

Madsen, Louise, Sofie V. Nielsen, Esben G. Poulsen, et al.. (2014). Human ASPL/TUG interacts with p97 and complements the proteasome mislocalization of a yeast ubx4 mutant, but not the ER-associated degradation defect. BMC Cell Biology. 15(1). 31–31. 8 indexed citations

16.

Elliott, P.R., Sofie V. Nielsen, Paola Marco‐Casanova, et al.. (2014). Molecular Basis and Regulation of OTULIN-LUBAC Interaction. Molecular Cell. 54(3). 335–348. 147 indexed citations

17.

Gibbs‐Seymour, Ian, Konstantinos Kagias, Tina Thorslund, et al.. (2012). DVC1 (C1orf124) is a DNA damage–targeting p97 adaptor that promotes ubiquitin-dependent responses to replication blocks. Nature Structural & Molecular Biology. 19(11). 1084–1092. 147 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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