Mark Alber

6.7k total citations · 1 hit paper
143 papers, 4.4k citations indexed

About

Mark Alber is a scholar working on Molecular Biology, Cell Biology and Biomedical Engineering. According to data from OpenAlex, Mark Alber has authored 143 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 38 papers in Cell Biology and 30 papers in Biomedical Engineering. Recurrent topics in Mark Alber's work include Cellular Mechanics and Interactions (29 papers), Blood properties and coagulation (26 papers) and Platelet Disorders and Treatments (20 papers). Mark Alber is often cited by papers focused on Cellular Mechanics and Interactions (29 papers), Blood properties and coagulation (26 papers) and Platelet Disorders and Treatments (20 papers). Mark Alber collaborates with scholars based in United States, Russia and Poland. Mark Alber's co-authors include Stuart A. Newman, Oleg V. Kim, Jerrold E. Marsden, Elliot D. Rosen, John W. Weisel, Rustem I. Litvinov, Yi Jiang, Zhiliang Xu, Malgorzata M. Kamocka and Darryl D. Holm and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Mark Alber

141 papers receiving 4.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences

2019 405 citations Mark Alber, Adrián Buganza Tepole et al. npj Digital Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Alber United States	41	1.3k	973	777	700	569	143	4.4k
S. Jonathan Chapman United Kingdom	43	1.2k 0.9×	578 0.6×	717 0.9×	163 0.2×	656 1.2×	231	6.5k
Vitaly Volpert France	31	506 0.4×	119 0.1×	351 0.5×	405 0.6×	317 0.6×	305	5.2k
James P. Keener United States	49	2.3k 1.8×	399 0.4×	897 1.2×	225 0.3×	3.0k 5.3×	170	9.4k
Qing Nie United States	51	7.8k 6.0×	1.7k 1.7×	714 0.9×	953 1.4×	325 0.6×	288	14.5k
Masahiro Nakagawa Japan	37	1.7k 1.3×	304 0.3×	166 0.2×	597 0.9×	373 0.7×	450	5.9k
George I. Bell United States	34	2.8k 2.1×	1.5k 1.5×	1.0k 1.3×	349 0.5×	223 0.4×	92	8.7k
Robert A. Phillips Canada	50	5.1k 3.9×	511 0.5×	159 0.2×	595 0.8×	101 0.2×	138	11.9k
Helen M. Byrne United Kingdom	52	3.2k 2.5×	2.9k 3.0×	1.8k 2.3×	290 0.4×	164 0.3×	286	10.1k
James A. Glazier United States	51	2.7k 2.1×	2.8k 2.8×	2.0k 2.6×	162 0.2×	584 1.0×	158	8.4k
Sui Huang United States	60	9.0k 6.9×	4.4k 4.5×	4.5k 5.7×	521 0.7×	335 0.6×	158	18.7k

Countries citing papers authored by Mark Alber

Since Specialization

Citations

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

Fields of papers citing papers by Mark Alber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Alber

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Weitao, et al.. (2024). Balancing competing effects of tissue growth and cytoskeletal regulation during Drosophila wing disc development. Nature Communications. 15(1). 2477–2477. 7 indexed citations

Xu, Zhiliang, Shixin Xu, Roya Zandi, et al.. (2024). Study of impacts of two types of cellular aging on the yeast bud morphogenesis. PLoS Computational Biology. 20(9). e1012491–e1012491. 1 indexed citations

Kim, Oleg V., Alina D. Peshkova, Khoi Vo, et al.. (2023). Combined computational modeling and experimental study of the biomechanical mechanisms of platelet-driven contraction of fibrin clots. Communications Biology. 6(1). 869–869. 7 indexed citations

Rodriguez, Kevin, et al.. (2023). Role of turgor-pressure induced boundary tension in the maintenance of the shoot apical meristem of Arabidopsis thaliana. Journal of The Royal Society Interface. 20(203). 20230173–20230173. 3 indexed citations

Alber, Mark, Adrián Buganza Tepole, William R. Cannon, et al.. (2019). Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences. npj Digital Medicine. 2(1). 115–115. 405 indexed citations breakdown →

Jonasson, Erin M., et al.. (2019). Behaviors of individual microtubules and microtubule populations relative to critical concentrations: dynamic instability occurs when critical concentrations are driven apart by nucleotide hydrolysis. Molecular Biology of the Cell. 31(7). 589–618. 18 indexed citations

Wohnlich, Stefan, et al.. (2018). Oblique divergence activating large-scale rainfall induced landslides: Evidence from Tarma Ber, Northwestern Plateau of Ethiopia. AGUFM. 2018. 1 indexed citations

Höök, Peter, Rustem I. Litvinov, Oleg V. Kim, et al.. (2017). Strong Binding of Platelet Integrin αIIbβ3 to Fibrin Clots: Potential Target to Destabilize Thrombi. Scientific Reports. 7(1). 13001–13001. 29 indexed citations

Kim, Oleg V., Xiaojun Liang, Rustem I. Litvinov, et al.. (2016). Foam-like compression behavior of fibrin networks. PMC. 2 indexed citations

10.

Chen, Jianxu, Lin Yang, Yizhe Zhang, Mark Alber, & Danny Z. Chen. (2016). Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation. neural information processing systems. 29. 3036–3044. 76 indexed citations

11.

Chen, Jianxu, et al.. (2016). Segmentation and tracking of Pseudomonas aeruginosa for cell dynamics analysis in time-lapse images. 968–971. 3 indexed citations

12.

Litvinov, Rustem I., et al.. (2016). Compression-induced structural and mechanical changes of fibrin-collagen composites. Matrix Biology. 60-61. 141–156. 37 indexed citations

13.

Tierra, Giordano, et al.. (2014). Type IV pili interactions promote intercellular association and moderate swarming of Pseudomonas aeruginosa. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1 indexed citations

14.

Margolin, Gennady, Ivan V. Gregoretti, Trevor Cickovski, et al.. (2011). The mechanisms of microtubule catastrophe and rescue: implications from analysis of a dimer-scale computational model. Molecular Biology of the Cell. 23(4). 642–656. 77 indexed citations

15.

Du, Huijing, Zhiliang Xu, Joshua D. Shrout, & Mark Alber. (2011). MULTISCALE MODELING OF PSEUDOMONAS AERUGINOSA SWARMING. Mathematical Models and Methods in Applied Sciences. 21(supp01). 939–954. 20 indexed citations

16.

Xu, Zhiliang, Jian Mu, Malgorzata M. Kamocka, et al.. (2010). A Multiscale Model of Venous Thrombus Formation with Surface-Mediated Control of Blood Coagulation Cascade. Biophysical Journal. 98(9). 1723–1732. 99 indexed citations

17.

Mu, Jian, Malgorzata M. Kamocka, Zhiliang Xu, et al.. (2009). Segmentation, reconstruction, and analysis of blood thrombi in 2-photon microscopy images. 1–8. 5 indexed citations

18.

Newman, Stuart A., Scott Christley, Tilmann Glimm, et al.. (2007). Multiscale Models for Vertebrate Limb Development. Current topics in developmental biology. 81. 311–340. 44 indexed citations

19.

Christley, Scott, et al.. (2007). Patterns of Mesenchymal Condensation in a Multiscale, Discrete Stochastic Model. PLoS Computational Biology. 3(4). e76–e76. 57 indexed citations

20.

Alber, Mark, Roberto Camassa, Darryl D. Holm, & Jerrold E. Marsden. (1995). On the link between umbilic geodesics and soliton solutions of nonlinear PDEs. Proceedings of the Royal Society of London Series A Mathematical and Physical Sciences. 450(1940). 677–692. 48 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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