Paul Macklin
Impact in
- Modeling and Simulation top 0.1%
- Mathematical Biology Tumor Growth
- Cell Biology top 1%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
Papers in
-
- Mathematical Biology Tumor Growth 28
- Oncology 21
- Cancer Cells and Metastasis 16
- Co-authors
- John Lowengrub (7 shared papers)Vittorio Cristini (8 shared papers)Randy Heiland (14 shared papers)Zhihui Wang (1 shared paper)Thomas S. Deisboeck (1 shared paper)Samuel H. Friedman (6 shared papers)Ahmadreza Ghaffarizadeh (7 shared papers)Hermann B. Frieboes (5 shared papers)
- Journals
- Bioinformatics (3 papers)Journal of Theoretical Biology (3 papers)npj Systems Biology and Applications (3 papers)iScience (2 papers)Journal of Computational Physics (2 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Paul Macklin
52 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 141
- Modeling and Simulation 1.7k
- Cell Biology 865
- Oncology 868
- Cancer Research 409
- Biophysics 106
Countries citing papers authored by Paul Macklin
This map shows the geographic impact of Paul Macklin'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 Paul Macklin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Macklin more than expected).
Fields of papers citing papers by Paul Macklin
This network shows the impact of papers produced by Paul Macklin. 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 Paul Macklin. The network helps show where Paul Macklin may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Macklin, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 383 | |
| 2 | 2011 | 335 | |
| 3 | 2008 | 271 | |
| 4 | 2018 | 257 | |
| 5 | 2019 | 230 | |
| 6 | 2007 | 178 | |
| 7 | 2012 | 160 | |
| 8 | 2006 | 140 | |
| 9 | 2022 | 87 | |
| 10 | 2018 | 73 | |
| 11 | 2004 | 67 | |
| 12 | 2008 | 60 | |
| 13 | 2015 | 55 | |
| 14 | 2005 | 48 | |
| 15 | 2018 | 44 | |
| 16 | 2016 | 35 | |
| 17 | 2011 | 32 | |
| 18 | 2011 | 31 | |
| 19 | 2012 | 29 | |
| 20 | 2019 | 29 |
About Paul Macklin
Paul Macklin is a scholar working on Modeling and Simulation, Oncology, Molecular Biology, Cell Biology and Cancer Research, having authored 57 papers that have together received 2.9k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (28 papers), Cancer Cells and Metastasis (16 papers), Cellular Mechanics and Interactions (11 papers), Gene Regulatory Network Analysis (8 papers), Scientific Computing and Data Management (6 papers), 3D Printing in Biomedical Research (5 papers), Single-cell and spatial transcriptomics (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Modeling and Simulation (1.7k citations), Cell Biology (865 citations), Oncology (868 citations), Cancer Research (409 citations) and Biophysics (106 citations). Paul Macklin has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include John Lowengrub, Vittorio Cristini, Randy Heiland, Zhihui Wang, Thomas S. Deisboeck, Samuel H. Friedman, Ahmadreza Ghaffarizadeh, Hermann B. Frieboes, Steven M. Wise and John Metzcar. Their work appears in journals such as Bioinformatics, Journal of Theoretical Biology, npj Systems Biology and Applications, iScience and Journal of Computational Physics.
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.