Dan N. Simon

905 total citations
12 papers, 750 citations indexed

About

Dan N. Simon is a scholar working on Molecular Biology, Cell Biology and Biomedical Engineering. According to data from OpenAlex, Dan N. Simon has authored 12 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Biomedical Engineering. Recurrent topics in Dan N. Simon's work include Nuclear Structure and Function (8 papers), RNA Research and Splicing (5 papers) and Genomics and Chromatin Dynamics (3 papers). Dan N. Simon is often cited by papers focused on Nuclear Structure and Function (8 papers), RNA Research and Splicing (5 papers) and Genomics and Chromatin Dynamics (3 papers). Dan N. Simon collaborates with scholars based in United States, Norway and Israel. Dan N. Simon's co-authors include Katherine L. Wilson, Michael S. Zastrow, Michael P. Rout, Carolyn E. Machamer, Juan I. Sbodio, Stuart W. Hicks, Wilma A. Hofmann, Line M. Grønning-Wang, Cathrine R. Carlson and Jason M. Berk and has published in prestigious journals such as Journal of Biological Chemistry, Nature Reviews Molecular Cell Biology and The Journal of Cell Biology.

In The Last Decade

Dan N. Simon

12 papers receiving 746 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan N. Simon United States 9 672 238 29 27 25 12 750
Leonid Serebryannyy United States 13 352 0.5× 163 0.7× 25 0.9× 24 0.9× 25 1.0× 19 462
Rosemarie Ungricht Switzerland 12 615 0.9× 193 0.8× 20 0.7× 15 0.6× 43 1.7× 14 695
Wenshu Lu United Kingdom 10 920 1.4× 319 1.3× 21 0.7× 22 0.8× 37 1.5× 18 990
Cécile Sauvanet France 10 349 0.5× 148 0.6× 26 0.9× 48 1.8× 18 0.7× 15 504
László Radnai Hungary 12 359 0.5× 168 0.7× 35 1.2× 14 0.5× 26 1.0× 20 483
Michal Skružný Germany 14 413 0.6× 224 0.9× 26 0.9× 28 1.0× 14 0.6× 16 513
Anne Burtey France 8 360 0.5× 192 0.8× 22 0.8× 31 1.1× 29 1.2× 10 500
Melissa Scott United States 6 314 0.5× 126 0.5× 16 0.6× 21 0.8× 16 0.6× 14 417
Denis A. Larochelle United States 12 347 0.5× 375 1.6× 15 0.5× 61 2.3× 25 1.0× 19 680
Stéphane Frémont France 11 294 0.4× 268 1.1× 18 0.6× 54 2.0× 23 0.9× 14 518

Countries citing papers authored by Dan N. Simon

Since Specialization
Citations

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

Fields of papers citing papers by Dan N. Simon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan N. Simon. 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 Dan N. Simon. The network helps show where Dan N. Simon may publish in the future.

Co-authorship network of co-authors of Dan N. Simon

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

All Works

12 of 12 papers shown
1.
Casadio, Melina & Dan N. Simon. (2021). Starting a lab during the COVID-19 pandemic. The Journal of Cell Biology. 220(3). 1 indexed citations
2.
Casadio, Melina & Dan N. Simon. (2020). Moving a research lab during the COVID-19 pandemic. The Journal of Cell Biology. 220(1). 1 indexed citations
3.
Simon, Dan N., Amanda Wriston, Qiong Fan, et al.. (2018). OGT (O-GlcNAc Transferase) Selectively Modifies Multiple Residues Unique to Lamin A. Cells. 7(5). 44–44. 18 indexed citations
4.
Simon, Dan N. & Michael P. Rout. (2014). Cancer and the Nuclear Pore Complex. Advances in experimental medicine and biology. 773. 285–307. 91 indexed citations
5.
Berk, Jason M., Dan N. Simon, Jason W. Westerbeck, et al.. (2014). Emerin intermolecular links to emerin and BAF. Journal of Cell Science. 127(Pt 18). 3956–69. 51 indexed citations
6.
Simon, Dan N. & Katherine L. Wilson. (2013). Partners and post-translational modifications of nuclear lamins. Chromosoma. 122(1-2). 13–31. 106 indexed citations
7.
Simon, Dan N., et al.. (2012). Lamin A tail modification by SUMO1 is disrupted by familial partial lipodystrophy–causing mutations. Molecular Biology of the Cell. 24(3). 342–350. 35 indexed citations
8.
Simon, Dan N. & Katherine L. Wilson. (2011). The nucleoskeleton as a genome-associated dynamic 'network of networks'. Nature Reviews Molecular Cell Biology. 12(11). 695–708. 236 indexed citations
9.
Simon, Dan N., Michael S. Zastrow, & Katherine L. Wilson. (2010). Direct actin binding to A- and B-type lamin tails and actin filament bundling by the lamin A tail. Nucleus. 1(3). 264–272. 93 indexed citations
11.
Simon, Dan N., Michael S. Zastrow, & Katherine L. Wilson. (2010). Direct actin binding to A- and B-type lamin tails and actin filament bundling by the lamin A tail. Nucleus. 1(3). 264–272. 77 indexed citations
12.
Sbodio, Juan I., Stuart W. Hicks, Dan N. Simon, & Carolyn E. Machamer. (2006). GCP60 Preferentially Interacts with a Caspase-generated Golgin-160 Fragment. Journal of Biological Chemistry. 281(38). 27924–27931. 40 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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