Mark Alber
Impact in
- Modeling and Simulation top 0.5%
- Mathematical Biology Tumor Growth
- Cell Biology top 1%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
Papers in
-
- Gene Regulatory Network Analysis 13
- Cell Biology 41
- Cellular Mechanics and Interactions 31
- Microtubule and mitosis dynamics 14
- Co-authors
- Stuart A. Newman (18 shared papers)Yi Jiang (12 shared papers)Jerrold E. Marsden (11 shared papers)Elliot D. Rosen (17 shared papers)Oleg V. Kim (16 shared papers)John W. Weisel (16 shared papers)Rustem I. Litvinov (14 shared papers)James A. Glazier (10 shared papers)
- Journals
- PLoS Computational Biology (11 papers)Biophysical Journal (8 papers)Journal of The Royal Society Interface (7 papers)Proceedings of the National Academy of Sciences (5 papers)Physical Biology (4 papers)
- Partner nations
- United StatesRussiaPoland
In The Last Decade
Mark Alber
159 papers receiving 5.2k citations
Mark Alber's Hit Papers
Peers
Comparison fields: 5 of 185
- Modeling and Simulation 569
- Cell Biology 1.1k
- Hematology 593
- Statistical and Nonlinear Physics 698
- Internal Medicine 133
Countries citing papers authored by Mark Alber
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
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-authors
The 25 scholars most cited alongside Mark Alber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 160 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences Hit paper breakdown → | 2019 | 453 |
| 2 | Multiscale modeling meets machine learning: What can we learn? Hit paper breakdown → | 2020 | 265 |
| 3 | 1994 | 167 | |
| 4 | 2004 | 162 | |
| 5 | 2007 | 161 | |
| 6 | 2017 | 131 | |
| 7 | 2009 | 116 | |
| 8 | 2010 | 110 | |
| 9 | 2005 | 107 | |
| 10 | 2014 | 105 | |
| 11 | 2005 | 96 | |
| 12 | 2008 | 94 | |
| 13 | 2003 | 93 | |
| 14 | Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation | 2016 | 83 |
| 15 | 2007 | 83 | |
| 16 | 2011 | 80 | |
| 17 | 2010 | 79 | |
| 18 | 2008 | 70 | |
| 19 | 2001 | 66 | |
| 20 | 2007 | 66 |
About Mark Alber
Mark Alber is a scholar working on Molecular Biology, Cell Biology, Biomedical Engineering, Pulmonary and Respiratory Medicine and Hematology, having authored 160 papers that have together received 5.3k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (31 papers), Blood properties and coagulation (27 papers), Mathematical Biology Tumor Growth (22 papers), Platelet Disorders and Treatments (21 papers), Slime Mold and Myxomycetes Research (19 papers), Nonlinear Waves and Solitons (16 papers), Microtubule and mitosis dynamics (14 papers) and Gene Regulatory Network Analysis (13 papers). The work is most often cited by research in Modeling and Simulation (569 citations), Cell Biology (1.1k citations), Hematology (593 citations), Statistical and Nonlinear Physics (698 citations) and Internal Medicine (133 citations). Mark Alber has collaborated with scholars based in United States, Russia and Poland. Frequent co-authors include Stuart A. Newman, Yi Jiang, Jerrold E. Marsden, Elliot D. Rosen, Oleg V. Kim, John W. Weisel, Rustem I. Litvinov, James A. Glazier, Zhiliang Xu and Malgorzata M. Kamocka. Their work appears in journals such as PLoS Computational Biology, Biophysical Journal, Journal of The Royal Society Interface, Proceedings of the National Academy of Sciences and Physical Biology.
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.