Marco Scianna

1.2k total citations
45 papers, 808 citations indexed

About

Marco Scianna is a scholar working on Cell Biology, Modeling and Simulation and Molecular Biology. According to data from OpenAlex, Marco Scianna has authored 45 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cell Biology, 19 papers in Modeling and Simulation and 9 papers in Molecular Biology. Recurrent topics in Marco Scianna's work include Cellular Mechanics and Interactions (26 papers), Mathematical Biology Tumor Growth (19 papers) and Microtubule and mitosis dynamics (7 papers). Marco Scianna is often cited by papers focused on Cellular Mechanics and Interactions (26 papers), Mathematical Biology Tumor Growth (19 papers) and Microtubule and mitosis dynamics (7 papers). Marco Scianna collaborates with scholars based in Italy, United Kingdom and France. Marco Scianna's co-authors include Luigi Preziosi, Luca Munaron, Chiara Giverso, Katarina Wolf, Alfio Grillo, José A. Carrillo, Rachèle Allena, Andrea Tosin, Guillaume Paul Grolez and Chiara Camillo and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Cell Biology and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Marco Scianna

44 papers receiving 789 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marco Scianna Italy	16	391	325	239	224	139	45	808
Abbas Shirinifard United States	17	437 1.1×	357 1.1×	591 2.5×	262 1.2×	281 2.0×	32	1.3k
Chuan Xue United States	13	246 0.6×	465 1.4×	334 1.4×	107 0.5×	82 0.6×	20	708
Mark Zajac United States	8	343 0.9×	119 0.4×	179 0.7×	140 0.6×	55 0.4×	8	492
Philip J. Murray United Kingdom	15	294 0.8×	125 0.4×	450 1.9×	107 0.5×	113 0.8×	24	952
Samuel H. Friedman United States	6	106 0.3×	200 0.6×	222 0.9×	83 0.4×	110 0.8×	9	444
Avner Friedman United States	11	90 0.2×	146 0.4×	276 1.2×	37 0.2×	127 0.9×	25	794
Anna Q. Cai Australia	9	146 0.4×	127 0.4×	256 1.1×	96 0.4×	44 0.3×	9	498
Anand R. Asthagiri United States	17	353 0.9×	28 0.1×	500 2.1×	242 1.1×	106 0.8×	33	932
Hassan M. Fathallah‐Shaykh United States	19	63 0.2×	69 0.2×	502 2.1×	60 0.3×	168 1.2×	62	1.1k
Mikkel H. Jensen United States	10	734 1.9×	20 0.1×	461 1.9×	368 1.6×	75 0.5×	17	1.3k

Countries citing papers authored by Marco Scianna

Since Specialization

Citations

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

Fields of papers citing papers by Marco Scianna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Scianna

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

All Works

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20 of 20 papers shown

Scianna, Marco. (2024). Selected aspects of avascular tumor growth reproduced by a hybrid model of cell dynamics and chemical kinetics. Mathematical Biosciences. 370. 109168–109168.

Preziosi, Luigi, et al.. (2023). Modelling Cell Orientation Under Stretch: The Effect of Substrate Elasticity. Bulletin of Mathematical Biology. 85(9). 79–79. 2 indexed citations

Scianna, Marco, et al.. (2021). A phenotype-structured model to reproduce the avascular growth of a tumor and its interaction with the surrounding environment. Journal of Theoretical Biology. 535. 110980–110980. 5 indexed citations

Scianna, Marco, et al.. (2019). Modelling chase-and-run migration in heterogeneous populations. Journal of Mathematical Biology. 80(1-2). 423–456. 6 indexed citations

Scianna, Marco, et al.. (2018). A particle model analysing the behavioural rules underlying the collective flight of a bee swarm towards the new nest. Journal of Biological Dynamics. 12(1). 632–662. 7 indexed citations

Carrillo, José A., et al.. (2018). Adhesion and volume constraints via nonlocal interactions determine cell organisation and migration profiles. Journal of Theoretical Biology. 445. 75–91. 27 indexed citations

Scianna, Marco, et al.. (2018). A discrete particle model reproducing collective dynamics of a bee swarm. Computers in Biology and Medicine. 93. 158–174. 5 indexed citations

Genova, Tullio, Guillaume Paul Grolez, Chiara Camillo, et al.. (2017). TRPM8 inhibits endothelial cell migration via a non-channel function by trapping the small GTPase Rap1. The Journal of Cell Biology. 216(7). 2107–2130. 72 indexed citations

Scianna, Marco, et al.. (2016). Coherent modelling switch between pointwise and distributed representations of cell aggregates. Journal of Mathematical Biology. 74(4). 783–808. 12 indexed citations

10.

Scianna, Marco & Luca Munaron. (2016). Computational Approaches for Translational Oncology: Concepts and Patents. Recent Patents on Anti-Cancer Drug Discovery. 11(4). 384–392. 2 indexed citations

11.

Scianna, Marco & Luigi Preziosi. (2016). A node-based version of the cellular Potts model. Computers in Biology and Medicine. 76. 94–112. 6 indexed citations

12.

Allena, Rachèle, Marco Scianna, & Luigi Preziosi. (2016). A Cellular Potts Model of single cell migration in presence of durotaxis. Mathematical Biosciences. 275. 57–70. 25 indexed citations

13.

Scianna, Marco & Luigi Preziosi. (2013). A cellular Potts model for the MMP-dependent and -independent cancer cell migration in matrix microtracks of different dimensions. Computational Mechanics. 53(3). 485–497. 13 indexed citations

14.

Scianna, Marco. (2012). Multiscale extensions of the cellular Potts models: toward a nested-hybrid approach. 3(1). 1 indexed citations

15.

Scianna, Marco, et al.. (2012). A Cellular Potts model simulating cell migration on and in matrix environments. Mathematical Biosciences & Engineering. 10(1). 235–261. 80 indexed citations

16.

Scianna, Marco & Luigi Preziosi. (2012). Modeling the influence of nucleus elasticity on cell invasion in fiber networks and microchannels. Journal of Theoretical Biology. 317. 394–406. 31 indexed citations

17.

Scianna, Marco, Andrea Tosin, & Luigi Preziosi. (2011). From discrete to continuous models of cell colonies: A measure-theoretic approach. arXiv (Cornell University). 3 indexed citations

18.

Scianna, Marco, Luca Munaron, & Luigi Preziosi. (2011). A multiscale hybrid approach for vasculogenesis and related potential blocking therapies. Progress in Biophysics and Molecular Biology. 106(2). 450–462. 47 indexed citations

19.

Scianna, Marco & Luca Munaron. (2011). Multiscale model of tumor-derived capillary-like network formation. Networks and Heterogeneous Media. 6(4). 597–624. 5 indexed citations

20.

Scianna, Marco, Roeland M. H. Merks, Luigi Preziosi, & Enzo Médico. (2009). Individual cell-based models of cell scatter of ARO and MLP-29 cells in response to hepatocyte growth factor. Journal of Theoretical Biology. 260(1). 151–160. 15 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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