Nikolaj Zuleger

1.7k total citations
18 papers, 1.3k citations indexed

About

Nikolaj Zuleger is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Nikolaj Zuleger has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 2 papers in Neurology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Nikolaj Zuleger's work include Nuclear Structure and Function (15 papers), RNA Research and Splicing (14 papers) and Genomics and Chromatin Dynamics (8 papers). Nikolaj Zuleger is often cited by papers focused on Nuclear Structure and Function (15 papers), RNA Research and Splicing (14 papers) and Genomics and Chromatin Dynamics (8 papers). Nikolaj Zuleger collaborates with scholars based in United Kingdom, United States and Ukraine. Nikolaj Zuleger's co-authors include Eric C. Schirmer, Alastair Kerr, Dzmitry G. Batrakou, Jose I. de las Heras, Nadia Korfali, Vlastimil Sršeň, Gerd Krause, Lars Winkler, Poonam Malik and Gavin S. Wilkie and has published in prestigious journals such as The Journal of Cell Biology, PLoS ONE and The FASEB Journal.

In The Last Decade

Nikolaj Zuleger

18 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nikolaj Zuleger United Kingdom	15	1.1k	375	189	78	54	18	1.3k
Neena S. Rane United States	9	672 0.6×	134 0.4×	339 1.8×	105 1.3×	53 1.0×	9	832
Michael H. Malone United States	11	806 0.8×	155 0.4×	133 0.7×	103 1.3×	73 1.4×	13	1.2k
Zrinka Marijanovic France	10	695 0.7×	184 0.5×	173 0.9×	119 1.5×	69 1.3×	13	1.1k
Baohe Tian United States	20	647 0.6×	76 0.2×	242 1.3×	35 0.4×	28 0.5×	41	1.5k
Е. А. Алексеева United States	10	585 0.5×	79 0.2×	108 0.6×	37 0.5×	103 1.9×	28	904
Helen Pickersgill Netherlands	7	1.6k 1.5×	48 0.1×	194 1.0×	112 1.4×	85 1.6×	12	1.8k
Marie-Hélène Delgrossi France	9	472 0.4×	88 0.2×	411 2.2×	33 0.4×	54 1.0×	9	626
Leslie A. Nangle United States	15	1.4k 1.3×	61 0.2×	90 0.5×	46 0.6×	151 2.8×	29	1.7k
Linda Truebestein Austria	10	470 0.4×	36 0.1×	141 0.7×	40 0.5×	41 0.8×	12	655
Francisco Meirelles Bastos de Oliveira Brazil	15	646 0.6×	33 0.1×	160 0.8×	126 1.6×	95 1.8×	25	906

Countries citing papers authored by Nikolaj Zuleger

Since Specialization

Citations

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

Fields of papers citing papers by Nikolaj Zuleger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikolaj Zuleger

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

All Works

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18 of 18 papers shown

Tollis, Sylvain, Nhan T. Pham, Steven Shave, et al.. (2022). Chemical Interrogation of Nuclear Size Identifies Compounds with Cancer Cell Line-Specific Effects on Migration and Invasion. ACS Chemical Biology. 17(3). 680–700. 16 indexed citations

Gatticchi, Leonardo, et al.. (2020). Tm7sf2 Disruption Alters Radial Gene Positioning in Mouse Liver Leading to Metabolic Defects and Diabetes Characteristics. Frontiers in Cell and Developmental Biology. 8. 592573–592573. 8 indexed citations

Heras, Jose I. de las, Nikolaj Zuleger, Dzmitry G. Batrakou, et al.. (2017). Tissue-specific NETs alter genome organization and regulation even in a heterologous system. Nucleus. 8(1). 81–97. 31 indexed citations

Malik, Poonam, Nikolaj Zuleger, Jose I. de las Heras, et al.. (2014). NET23/STING Promotes Chromatin Compaction from the Nuclear Envelope. PLoS ONE. 9(11). e111851–e111851. 21 indexed citations

Heras, Jose I. de las, Peter Meinke, Dzmitry G. Batrakou, et al.. (2013). Tissue specificity in the nuclear envelope supports its functional complexity. Nucleus. 4(6). 460–477. 74 indexed citations

Zuleger, Nikolaj, David A. Kelly, & Eric C. Schirmer. (2013). Considering Discrete Protein Pools when Measuring the Dynamics of Nuclear Membrane Proteins. Methods in molecular biology. 1042. 275–298. 2 indexed citations

Zuleger, Nikolaj, Shelagh Boyle, David A. Kelly, et al.. (2013). Specific nuclear envelope transmembrane proteins can promote the location of chromosomes to and from the nuclear periphery. Genome biology. 14(2). R14–R14. 96 indexed citations

Korfali, Nadia, Gavin S. Wilkie, Selene K. Swanson, et al.. (2012). The nuclear envelope proteome differs notably between tissues. Nucleus. 3(6). 552–564. 149 indexed citations

Zuleger, Nikolaj, Alastair Kerr, & Eric C. Schirmer. (2012). Many mechanisms, one entrance: membrane protein translocation into the nucleus. Cellular and Molecular Life Sciences. 69(13). 2205–2216. 39 indexed citations

10.

Zuleger, Nikolaj, David A. Kelly, Christine Richardson, et al.. (2011). System analysis shows distinct mechanisms and common principles of nuclear envelope protein dynamics. The Journal of Cell Biology. 193(1). 109–123. 85 indexed citations

11.

Zuleger, Nikolaj, Michael I. Robson, & Eric C. Schirmer. (2011). The nuclear envelope as a chromatin organizer. Nucleus. 2(5). 339–349. 78 indexed citations

12.

Wilkie, Gavin S., Nadia Korfali, Selene K. Swanson, et al.. (2010). Several Novel Nuclear Envelope Transmembrane Proteins Identified in Skeletal Muscle Have Cytoskeletal Associations. Molecular & Cellular Proteomics. 10(1). M110.003129–M110.003129. 106 indexed citations

13.

Malik, Poonam, Nikolaj Zuleger, & Eric C. Schirmer. (2010). Nuclear envelope influences on genome organization. Biochemical Society Transactions. 38(1). 268–272. 5 indexed citations

14.

Korfali, Nadia, Gavin S. Wilkie, Selene K. Swanson, et al.. (2010). The Leukocyte Nuclear Envelope Proteome Varies with Cell Activation and Contains Novel Transmembrane Proteins That Affect Genome Architecture. Molecular & Cellular Proteomics. 9(12). 2571–2585. 96 indexed citations

15.

Malik, Poonam, Nadia Korfali, Vlastimil Sršeň, et al.. (2010). Cell-specific and lamin-dependent targeting of novel transmembrane proteins in the nuclear envelope. Cellular and Molecular Life Sciences. 67(8). 1353–1369. 75 indexed citations

16.

Zuleger, Nikolaj, Nadia Korfali, & Eric C. Schirmer. (2008). Inner nuclear membrane protein transport is mediated by multiple mechanisms. Biochemical Society Transactions. 36(6). 1373–1377. 27 indexed citations

17.

Winkler, Lars, Hartwig Wolburg, Sebastian Müller, et al.. (2007). Formation of tight junction: determinants of homophilic interaction between classic claudins. The FASEB Journal. 22(1). 146–158. 320 indexed citations

18.

Winkler, Lars, Nikolaj Zuleger, Eberhard Krause, et al.. (2006). On the self-association potential of transmembrane tight junction proteins. Cellular and Molecular Life Sciences. 63(4). 505–514. 107 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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