Ala Trusina

4.1k total citations · 2 hit papers
52 papers, 3.1k citations indexed

About

Ala Trusina is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Cell Biology. According to data from OpenAlex, Ala Trusina has authored 52 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 9 papers in Statistical and Nonlinear Physics and 9 papers in Cell Biology. Recurrent topics in Ala Trusina's work include Complex Network Analysis Techniques (8 papers), CRISPR and Genetic Engineering (7 papers) and Pluripotent Stem Cells Research (7 papers). Ala Trusina is often cited by papers focused on Complex Network Analysis Techniques (8 papers), CRISPR and Genetic Engineering (7 papers) and Pluripotent Stem Cells Research (7 papers). Ala Trusina collaborates with scholars based in Denmark, United States and Sweden. Ala Trusina's co-authors include Kim Sneppen, Chao Tang, Feroz R. Papa, Wenzhe Ma, Wendell A. Lim, Hana El‐Samad, Petter Minnhagen, Martin Rosvall, Petter Holme and Beom Jun Kim and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Ala Trusina

50 papers receiving 3.0k citations

Hit Papers

IRE1α Induces Thioredoxin-Interacting Protein to Activate... 2009 2026 2014 2020 2012 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ala Trusina Denmark 22 1.6k 750 545 440 349 52 3.1k
Frederick P. Roth United States 49 9.9k 6.1× 519 0.7× 1.8k 3.3× 228 0.5× 415 1.2× 133 11.9k
Duygu Ucar United States 25 1.9k 1.2× 78 0.1× 352 0.6× 321 0.7× 145 0.4× 55 3.1k
Guangyu Wu United States 41 4.2k 2.6× 1.3k 1.7× 238 0.4× 29 0.1× 398 1.1× 119 5.7k
Edda Klipp Germany 39 4.4k 2.7× 404 0.5× 358 0.7× 59 0.1× 210 0.6× 161 5.4k
James C. Costello United States 29 2.9k 1.8× 166 0.2× 365 0.7× 66 0.1× 212 0.6× 82 4.6k
Michael A. Langston United States 33 1.5k 0.9× 71 0.1× 549 1.0× 155 0.4× 101 0.3× 182 4.2k
Diego di Bernardo Italy 41 5.3k 3.3× 417 0.6× 610 1.1× 148 0.3× 783 2.2× 143 7.2k
Nataša Pržulj United Kingdom 37 4.4k 2.7× 314 0.4× 195 0.4× 1.0k 2.3× 108 0.3× 92 6.0k
Kwang‐Hyun Cho South Korea 40 3.0k 1.9× 374 0.5× 318 0.6× 144 0.3× 123 0.4× 252 4.9k
Dov Greenbaum United States 16 2.7k 1.7× 146 0.2× 340 0.6× 53 0.1× 108 0.3× 73 4.0k

Countries citing papers authored by Ala Trusina

Since Specialization
Citations

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

Fields of papers citing papers by Ala Trusina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ala Trusina

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

All Works

20 of 20 papers shown
1.
Bone, Robert A., Molly Lowndes, Morten Dall, et al.. (2025). Altering metabolism programs cell identity via NAD+-dependent deacetylation. The EMBO Journal. 44(11). 3056–3084.
2.
Jensen, Mogens H., et al.. (2024). Tipping-point transition from transient to persistent inflammation in pancreatic islets. npj Systems Biology and Applications. 10(1). 102–102. 1 indexed citations
3.
Seymour, Philip A., Kim Sneppen, Ala Trusina, et al.. (2023). Jag1-Notch cis-interaction determines cell fate segregation in pancreatic development. Nature Communications. 14(1). 348–348. 9 indexed citations
4.
Hannezo, Édouard, et al.. (2023). Lineage tracing identifies heterogeneous hepatoblast contribution to cell lineages and postembryonic organ growth dynamics. PLoS Biology. 21(10). e3002315–e3002315. 3 indexed citations
5.
Son, Minjun, Thomas Holst‐Hansen, Michael Junkin, et al.. (2022). Spatiotemporal NF-κB dynamics encodes the position, amplitude, and duration of local immune inputs. Science Advances. 8(35). eabn6240–eabn6240. 24 indexed citations
6.
Rothová, Michaela, et al.. (2022). Identification of the central intermediate in the extra-embryonic to embryonic endoderm transition through single-cell transcriptomics. Nature Cell Biology. 24(6). 833–844. 16 indexed citations
7.
Nielsen, Bjarke Frost, Silas Boye Nissen, Kim Sneppen, Joachim Mathiesen, & Ala Trusina. (2020). Model to Link Cell Shape and Polarity with Organogenesis. iScience. 23(2). 100830–100830. 9 indexed citations
8.
Igbaria, Aeid, Ala Trusina, Jeffrey R. Johnson, et al.. (2019). Chaperone-mediated reflux of secretory proteins to the cytosol during endoplasmic reticulum stress. Proceedings of the National Academy of Sciences. 116(23). 11291–11298. 42 indexed citations
9.
Nissen, Silas Boye, et al.. (2018). Theoretical tool bridging cell polarities with development of robust morphologies. eLife. 7. 21 indexed citations
10.
Nissen, Silas Boye, Javier Martín‐González, Sophie M. Morgani, et al.. (2017). Four simple rules that are sufficient to generate the mammalian blastocyst. PLoS Biology. 15(7). e2000737–e2000737. 43 indexed citations
11.
Pallesen, Emil M.H., et al.. (2016). Nucleation and spreading of a heterochromatic domain in fission yeast. Nature Communications. 7(1). 11518–11518. 43 indexed citations
12.
Košmrlj, Andrej, et al.. (2016). Asymmetric Damage Segregation Constitutes an Emergent Population-Level Stress Response. Cell Systems. 3(2). 187–198. 30 indexed citations
13.
Jakočiūnas, Tadas, et al.. (2013). Two Portable Recombination Enhancers Direct Donor Choice in Fission Yeast Heterochromatin. PLoS Genetics. 9(10). e1003762–e1003762. 21 indexed citations
14.
Lerner, Alana G., Paurush Praveen, Rajarshi Ghosh, et al.. (2012). IRE1α Induces Thioredoxin-Interacting Protein to Activate the NLRP3 Inflammasome and Promote Programmed Cell Death under Irremediable ER Stress. Cell Metabolism. 16(2). 250–264. 696 indexed citations breakdown →
15.
Trusina, Ala & Chao Tang. (2010). The unfolded protein response and translation attenuation: a modelling approach. Diabetes Obesity and Metabolism. 12(s2). 27–31. 13 indexed citations
16.
Ma, Wenzhe, Ala Trusina, Hana El‐Samad, Wendell A. Lim, & Chao Tang. (2009). Defining Network Topologies that Can Achieve Biochemical Adaptation. Cell. 138(4). 760–773. 664 indexed citations breakdown →
17.
Trusina, Ala, et al.. (2008). Real-Time Redox Measurements during Endoplasmic Reticulum Stress Reveal Interlinked Protein Folding Functions. Cell. 135(5). 933–947. 247 indexed citations
18.
Rosvall, Martin, Ala Trusina, Petter Minnhagen, & Kim Sneppen. (2005). Networks and Cities: An Information Perspective. Physical Review Letters. 94(2). 28701–28701. 172 indexed citations
19.
Trusina, Ala, Sergei Maslov, Petter Minnhagen, & Kim Sneppen. (2004). Hierarchy Measures in Complex Networks. Physical Review Letters. 92(17). 178702–178702. 94 indexed citations
20.
Kim, Beom Jun, Ala Trusina, Petter Holme, et al.. (2002). Dynamic instabilities induced by asymmetric influence: Prisoners’ dilemma game in small-world networks. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 66(2). 21907–21907. 198 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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