Matthew P. Swaffer

1.7k total citations
19 papers, 929 citations indexed

About

Matthew P. Swaffer is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Matthew P. Swaffer has authored 19 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Plant Science and 4 papers in Cell Biology. Recurrent topics in Matthew P. Swaffer's work include Fungal and yeast genetics research (6 papers), Microtubule and mitosis dynamics (4 papers) and Genomics and Chromatin Dynamics (4 papers). Matthew P. Swaffer is often cited by papers focused on Fungal and yeast genetics research (6 papers), Microtubule and mitosis dynamics (4 papers) and Genomics and Chromatin Dynamics (4 papers). Matthew P. Swaffer collaborates with scholars based in United States, United Kingdom and Germany. Matthew P. Swaffer's co-authors include Paul Nurse, Andrew W. Jones, Ambrosius P. Snijders, Helen R. Flynn, Jan M. Skotheim, Georgi K. Marinov, Anshul Kundaje, Shicong Xie, William J. Greenleaf and Kevin D. Young and has published in prestigious journals such as Science, Cell and The Journal of Cell Biology.

In The Last Decade

Matthew P. Swaffer

19 papers receiving 921 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew P. Swaffer United States	12	712	256	135	113	78	19	929
Hongda Huang China	17	1.4k 1.9×	171 0.7×	164 1.2×	145 1.3×	97 1.2×	30	1.5k
Florence Janody Portugal	19	881 1.2×	567 2.2×	98 0.7×	100 0.9×	79 1.0×	31	1.2k
Lau Sennels United Kingdom	9	1.1k 1.5×	186 0.7×	70 0.5×	98 0.9×	107 1.4×	9	1.3k
Orit Gutman Israel	18	1.1k 1.5×	395 1.5×	141 1.0×	68 0.6×	64 0.8×	27	1.3k
Mark J. Demma United States	13	778 1.1×	242 0.9×	61 0.5×	261 2.3×	56 0.7×	15	1.0k
Marlene Oeffinger Canada	24	1.9k 2.7×	159 0.6×	107 0.8×	196 1.7×	76 1.0×	45	2.1k
Jimi Wills United Kingdom	17	1.1k 1.6×	423 1.7×	68 0.5×	132 1.2×	118 1.5×	24	1.6k
Jeremy L. Balsbaugh United States	18	794 1.1×	233 0.9×	61 0.5×	129 1.1×	58 0.7×	35	989
Gregory Brittingham United States	5	477 0.7×	169 0.7×	62 0.5×	49 0.4×	46 0.6×	7	701
Jennifer I. Semple Spain	14	962 1.4×	215 0.8×	82 0.6×	183 1.6×	186 2.4×	23	1.2k

Countries citing papers authored by Matthew P. Swaffer

Since Specialization

Citations

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

Fields of papers citing papers by Matthew P. Swaffer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew P. Swaffer. 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 Matthew P. Swaffer. The network helps show where Matthew P. Swaffer may publish in the future.

Co-authorship network of co-authors of Matthew P. Swaffer

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

All Works

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19 of 19 papers shown

1.

Tan, Catherine, Michael C. Lanz, Matthew P. Swaffer, Jan M. Skotheim, & Fred Chang. (2025). Intracellular diffusion in the cytoplasm increases with cell size in fission yeast. Molecular Biology of the Cell. 36(4). ar51–ar51. 1 indexed citations

2.

Mäkelä, Jarno, Alexandros Papagiannakis, Wei-Hsiang Lin, et al.. (2024). Genome concentration limits cell growth and modulates proteome composition in Escherichia coli. eLife. 13. 3 indexed citations

3.

Mäkelä, Jarno, Alexandros Papagiannakis, Wei-Hsiang Lin, et al.. (2024). Genome concentration limits cell growth and modulates proteome composition in Escherichia coli. eLife. 13. 1 indexed citations

4.

Lanz, Michael C., Shuyuan Zhang, Matthew P. Swaffer, et al.. (2024). Genome dilution by cell growth drives starvation-like proteome remodeling in mammalian and yeast cells. Nature Structural & Molecular Biology. 31(12). 1859–1871. 9 indexed citations

5.

Marinov, Georgi K., et al.. (2024). Genome-wide distribution of 5-hydroxymethyluracil and chromatin accessibility in the Breviolum minutum genome. Genome biology. 25(1). 115–115. 5 indexed citations

6.

Skotheim, Jan M., et al.. (2024). Somatic polyploidy supports biosynthesis and tissue function by increasing transcriptional output. The Journal of Cell Biology. 224(3). 2 indexed citations

7.

Swaffer, Matthew P., Georgi K. Marinov, Huan Zheng, et al.. (2023). RNA polymerase II dynamics and mRNA stability feedback scale mRNA amounts with cell size. Cell. 186(24). 5254–5268.e26. 32 indexed citations

8.

Lanz, Michael C., Evgeny Zatulovskiy, Matthew P. Swaffer, et al.. (2022). Increasing cell size remodels the proteome and promotes senescence. Molecular Cell. 82(17). 3255–3269.e8. 108 indexed citations

9.

Dario, Marco Di, et al.. (2022). Meeting report – Cell size and growth: from single cells to the tree of life. Journal of Cell Science. 135(20). 1 indexed citations

10.

Xie, Shicong, Matthew P. Swaffer, & Jan M. Skotheim. (2022). Eukaryotic Cell Size Control and Its Relation to Biosynthesis and Senescence. Annual Review of Cell and Developmental Biology. 38(1). 291–319. 55 indexed citations

11.

Kõivomägi, Mardo, Matthew P. Swaffer, Jonathan J. Turner, Georgi K. Marinov, & Jan M. Skotheim. (2021). G ₁ cyclin–Cdk promotes cell cycle entry through localized phosphorylation of RNA polymerase II. Science. 374(6565). 347–351. 47 indexed citations

12.

Swaffer, Matthew P., Jacob Kim, Devon Chandler‐Brown, et al.. (2021). Transcriptional and chromatin-based partitioning mechanisms uncouple protein scaling from cell size. Molecular Cell. 81(23). 4861–4875.e7. 32 indexed citations

13.

Basu, Souradeep, et al.. (2020). The Hydrophobic Patch Directs Cyclin B to Centrosomes to Promote Global CDK Phosphorylation at Mitosis. Current Biology. 30(5). 883–892.e4. 18 indexed citations

14.

Shipony, Zohar, Georgi K. Marinov, Matthew P. Swaffer, et al.. (2020). Long-range single-molecule mapping of chromatin accessibility in eukaryotes. Nature Methods. 17(3). 319–327. 84 indexed citations

15.

Bottanelli, Francesca, Bruno Cadot, Felix Campelo, et al.. (2020). Science during lockdown – from virtual seminars to sustainable online communities. Journal of Cell Science. 133(15). 25 indexed citations

16.

Swaffer, Matthew P., Andrew W. Jones, Helen R. Flynn, Ambrosius P. Snijders, & Paul Nurse. (2018). Quantitative Phosphoproteomics Reveals the Signaling Dynamics of Cell-Cycle Kinases in the Fission Yeast Schizosaccharomyces pombe. Cell Reports. 24(2). 503–514. 63 indexed citations

17.

Swaffer, Matthew P., Andrew W. Jones, Helen R. Flynn, Ambrosius P. Snijders, & Paul Nurse. (2016). CDK Substrate Phosphorylation and Ordering the Cell Cycle. Cell. 167(7). 1750–1761.e16. 247 indexed citations

18.

Patterson, James O., Matthew P. Swaffer, & Andrew Filby. (2015). An Imaging Flow Cytometry-based approach to analyse the fission yeast cell cycle in fixed cells. Methods. 82. 74–84. 18 indexed citations

19.

Marshall, Wallace F., Kevin D. Young, Matthew P. Swaffer, et al.. (2012). What determines cell size?. BMC Biology. 10(1). 101–101. 178 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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