Sevan Mattie

1.1k total citations
11 papers, 871 citations indexed

About

Sevan Mattie is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Sevan Mattie has authored 11 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Cell Biology. Recurrent topics in Sevan Mattie's work include Autophagy in Disease and Therapy (4 papers), Mitochondrial Function and Pathology (4 papers) and Cellular transport and secretion (4 papers). Sevan Mattie is often cited by papers focused on Autophagy in Disease and Therapy (4 papers), Mitochondrial Function and Pathology (4 papers) and Cellular transport and secretion (4 papers). Sevan Mattie collaborates with scholars based in Canada, United Kingdom and Germany. Sevan Mattie's co-authors include Heidi M. McBride, Julien Prudent, Ayumu Sugiura, Gordon C. Shore, Rodolfo Zunino, Jan Riemer, Jeremy G. Wideman, Hojatollah Vali, Christopher L. Brett and Michiel Krols and has published in prestigious journals such as Nature, The Journal of Cell Biology and Molecular Cell.

In The Last Decade

Sevan Mattie

11 papers receiving 870 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sevan Mattie Canada 9 755 195 138 126 95 11 871
T. Kelly Rainbolt United States 9 629 0.8× 135 0.7× 205 1.5× 104 0.8× 100 1.1× 9 819
Mafalda Escobar‐Henriques Germany 16 919 1.2× 194 1.0× 173 1.3× 138 1.1× 70 0.7× 25 1.0k
Ulrike Topf Poland 10 648 0.9× 100 0.5× 210 1.5× 81 0.6× 75 0.8× 17 759
Andrew Murley United States 7 1.0k 1.3× 156 0.8× 319 2.3× 231 1.8× 104 1.1× 9 1.2k
Julia Philippou‐Massier Germany 10 576 0.8× 76 0.4× 150 1.1× 42 0.3× 90 0.9× 14 751
Christoph Potting Germany 7 614 0.8× 107 0.5× 113 0.8× 187 1.5× 52 0.5× 7 732
Aleck W.E. Jones United Kingdom 9 509 0.7× 234 1.2× 183 1.3× 63 0.5× 88 0.9× 9 762
Michal Eisenberg‐Bord Israel 13 765 1.0× 129 0.7× 300 2.2× 98 0.8× 109 1.1× 14 962
Brian M. Wasko United States 17 820 1.1× 77 0.4× 68 0.5× 112 0.9× 144 1.5× 25 1.0k
Luis Carlos Tábara United Kingdom 12 467 0.6× 196 1.0× 168 1.2× 87 0.7× 96 1.0× 16 737

Countries citing papers authored by Sevan Mattie

Since Specialization
Citations

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

Fields of papers citing papers by Sevan Mattie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sevan Mattie

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

All Works

11 of 11 papers shown
1.
Mattie, Sevan, Michiel Krols, & Heidi M. McBride. (2019). The enigma of an interconnected mitochondrial reticulum: new insights into mitochondrial fusion. Current Opinion in Cell Biology. 59. 159–166. 32 indexed citations
2.
Mattie, Sevan, et al.. (2018). Rab-Effector-Kinase Interplay Modulates Intralumenal Fragment Formation during Vacuole Fusion. Developmental Cell. 47(1). 80–97.e6. 7 indexed citations
3.
Mattie, Sevan, et al.. (2018). Visualization of SNARE-Mediated Organelle Membrane Hemifusion by Electron Microscopy. Methods in molecular biology. 1860. 361–377. 2 indexed citations
4.
Mattie, Sevan, et al.. (2017). Distinct features of multivesicular body‐lysosome fusion revealed by a new cell‐free content‐mixing assay. Traffic. 19(2). 138–149. 21 indexed citations
5.
Sugiura, Ayumu, Sevan Mattie, Julien Prudent, & Heidi M. McBride. (2017). Newly born peroxisomes are a hybrid of mitochondrial and ER-derived pre-peroxisomes. Nature. 542(7640). 251–254. 291 indexed citations
6.
Mattie, Sevan, Jan Riemer, Jeremy G. Wideman, & Heidi M. McBride. (2017). A new mitofusin topology places the redox-regulated C terminus in the mitochondrial intermembrane space. The Journal of Cell Biology. 217(2). 507–515. 128 indexed citations
7.
Mattie, Sevan, et al.. (2016). How and why intralumenal membrane fragments form during vacuolar lysosome fusion. Molecular Biology of the Cell. 28(2). 309–321. 18 indexed citations
8.
Prudent, Julien, Rodolfo Zunino, Ayumu Sugiura, et al.. (2015). MAPL SUMOylation of Drp1 Stabilizes an ER/Mitochondrial Platform Required for Cell Death. Molecular Cell. 59(6). 941–955. 266 indexed citations
9.
Sheibani, Sara, Vincent Richard, Adam Beach, et al.. (2013). Macromitophagy, neutral lipids synthesis, and peroxisomal fatty acid oxidation protect yeast from “liponecrosis”, a previously unknown form of programmed cell death. Cell Cycle. 13(1). 138–147. 36 indexed citations
11.
Kornblatt, M.J., et al.. (2012). The Saccharomyces cerevisiae enolase‐related regions encode proteins that are active enolases. Yeast. 30(2). 55–69. 12 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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