Matthew C. Good

6.3k total citations · 2 hit papers
48 papers, 3.5k citations indexed

About

Matthew C. Good is a scholar working on Molecular Biology, Cell Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Matthew C. Good has authored 48 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 11 papers in Cell Biology and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Matthew C. Good's work include RNA Research and Splicing (8 papers), Microtubule and mitosis dynamics (5 papers) and Cellular Mechanics and Interactions (5 papers). Matthew C. Good is often cited by papers focused on RNA Research and Splicing (8 papers), Microtubule and mitosis dynamics (5 papers) and Cellular Mechanics and Interactions (5 papers). Matthew C. Good collaborates with scholars based in United States, Germany and Australia. Matthew C. Good's co-authors include Wendell A. Lim, Jesse G. Zalatan, Attila Reményi, Benjamin S. Schuster, Daniel A. Hammer, Rebecca Heald, Roby P. Bhattacharyya, E. Thomas Chappell, Reese M. Caldwell and Jessica G. Bermudez and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Matthew C. Good

47 papers receiving 3.4k citations

Hit Papers

Scaffold Proteins: Hubs for Controlling the Flow of Cellu... 2011 2026 2016 2021 2011 2024 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew C. Good United States 27 2.4k 615 285 255 225 48 3.5k
Isabelle Rouiller Canada 27 2.5k 1.0× 896 1.5× 192 0.7× 256 1.0× 95 0.4× 56 3.8k
Vincent Oliéric Switzerland 30 1.8k 0.8× 560 0.9× 495 1.7× 696 2.7× 176 0.8× 80 3.1k
Romain Gautier France 25 2.6k 1.1× 850 1.4× 99 0.3× 143 0.6× 269 1.2× 32 3.4k
Sergio Pantano Uruguay 28 2.2k 0.9× 224 0.4× 392 1.4× 379 1.5× 100 0.4× 112 3.0k
Christian R. Eckmann Germany 23 4.6k 1.9× 450 0.7× 105 0.4× 278 1.1× 251 1.1× 39 5.3k
Suzanne Scarlata United States 38 3.3k 1.4× 1.3k 2.1× 235 0.8× 228 0.9× 100 0.4× 166 4.6k
Wim Versées Belgium 28 1.9k 0.8× 176 0.3× 174 0.6× 255 1.0× 208 0.9× 82 2.9k
Thomas Schwartz United States 42 4.9k 2.0× 1.1k 1.7× 133 0.5× 170 0.7× 192 0.9× 87 5.8k
Titus M. Franzmann Germany 28 6.2k 2.6× 925 1.5× 662 2.3× 625 2.5× 228 1.0× 46 7.1k
Emma Sierecki Australia 28 1.9k 0.8× 478 0.8× 214 0.8× 71 0.3× 70 0.3× 68 3.1k

Countries citing papers authored by Matthew C. Good

Since Specialization
Citations

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

Fields of papers citing papers by Matthew C. Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew C. Good

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

All Works

20 of 20 papers shown
1.
Garabedian, Mikael V., Wentao Wang, Roshan Mammen Regy, et al.. (2024). Determinants that enable disordered protein assembly into discrete condensed phases. Nature Chemistry. 16(7). 1062–1072. 53 indexed citations breakdown →
2.
Gu, Song, et al.. (2022). Epithelial cell size dysregulation in human lung adenocarcinoma. PLoS ONE. 17(10). e0274091–e0274091. 5 indexed citations
4.
Bermudez, Jessica G., Alexander Deiters, & Matthew C. Good. (2021). Patterning Microtubule Network Organization Reshapes Cell-Like Compartments. ACS Synthetic Biology. 10(6). 1338–1350. 7 indexed citations
5.
Garabedian, Mikael V., Wentao Wang, Reese M. Caldwell, et al.. (2021). Designer membraneless organelles sequester native factors for control of cell behavior. Nature Chemical Biology. 17(9). 998–1007. 92 indexed citations
6.
Schuster, Benjamin S., Gregory L. Dignon, Wai Shing Tang, et al.. (2020). Identifying sequence perturbations to an intrinsically disordered protein that determine its phase-separation behavior. Proceedings of the National Academy of Sciences. 117(21). 11421–11431. 212 indexed citations
7.
Cohen, Jennifer D., Jessica G. Bermudez, Matthew C. Good, & Meera V. Sundaram. (2020). A C. elegans Zona Pellucida domain protein functions via its ZPc domain. PLoS Genetics. 16(11). e1009188–e1009188. 7 indexed citations
8.
Schuster, Benjamin S., et al.. (2019). Sequence Determinants of Protein Phase Separation of the Intrinsically Disordered RGG Domain from LAF-1. Biophysical Journal. 116(3). 453a–454a. 1 indexed citations
9.
Schuster, Benjamin S., Ellen H. Reed, Ranganath Parthasarathy, et al.. (2018). Controllable protein phase separation and modular recruitment to form responsive membraneless organelles. Nature Communications. 9(1). 2985–2985. 314 indexed citations
10.
Good, Matthew C. & Rebecca Heald. (2018). Preparation of Cellular Extracts from Xenopus Eggs and Embryos. Cold Spring Harbor Protocols. 2018(6). pdb.prot097055–pdb.prot097055. 34 indexed citations
11.
Strzelecka, Magdalena, et al.. (2015). A Comparative Analysis of Spindle Morphometrics across Metazoans. Current Biology. 25(11). 1542–1550. 77 indexed citations
12.
Lombana, T. Noelle, Nathaniel Echols, Matthew C. Good, et al.. (2010). Allosteric Activation Mechanism of the Mycobacterium tuberculosis Receptor Ser/Thr Protein Kinase, PknB. Structure. 18(12). 1667–1677. 48 indexed citations
13.
Bhattacharyya, Roby P., Attila Reményi, Matthew C. Good, et al.. (2006). The Ste5 Scaffold Allosterically Modulates Signaling Output of the Yeast Mating Pathway. Science. 311(5762). 822–826. 221 indexed citations
14.
Reményi, Attila, Matthew C. Good, & Wendell A. Lim. (2006). Docking interactions in protein kinase and phosphatase networks. Current Opinion in Structural Biology. 16(6). 676–685. 144 indexed citations
15.
Ng, Ho Leung, et al.. (2004). An Alternate Conformation and a Third Metal in PstP/Ppp, the M. tuberculosis PP2C-Family Ser/Thr Protein Phosphatase. Structure. 12(11). 1947–1954. 84 indexed citations
16.
Good, Matthew C., Andrew E. Greenstein, Tracy A. Young, Ho Leung Ng, & Tom Alber. (2004). Sensor Domain of the Mycobacterium tuberculosis Receptor Ser/Thr Protein Kinase, PknD, forms a Highly Symmetric β Propeller. Journal of Molecular Biology. 339(2). 459–469. 60 indexed citations
17.
Chappell, E. Thomas, et al.. (2003). Comparison of Computed Tomographic Angiography with Digital Subtraction Angiography in the Diagnosis of Cerebral Aneurysms: A Meta-analysis. Neurosurgery. 52(3). 624–631. 154 indexed citations
18.
Harris, Odette A., John M. Colford, Matthew C. Good, & Paul G. Matz. (2002). The Role of Hypothermia in the Management of Severe Brain Injury. Archives of Neurology. 59(7). 1077–1077. 9 indexed citations
19.
Harris, Odette A., John M. Colford, Matthew C. Good, & Paul G. Matz. (2001). 829 The Role of Hypothermia in the Management of Severe Brain Injury: A Meta-analysis. Neurosurgery. 49(2). 545–545. 5 indexed citations
20.
Reilly, Samantha M. & Matthew C. Good. (1987). Enhanced DRL and impaired forced-choice alternation performance following hippocampal lesions in the pigeon. Behavioural Brain Research. 26(2-3). 185–197. 19 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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