Thomas Di Mattia

412 total citations
11 papers, 280 citations indexed

About

Thomas Di Mattia is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Thomas Di Mattia has authored 11 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cell Biology and 2 papers in Physiology. Recurrent topics in Thomas Di Mattia's work include Endoplasmic Reticulum Stress and Disease (3 papers), Cellular transport and secretion (3 papers) and Mitochondrial Function and Pathology (2 papers). Thomas Di Mattia is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (3 papers), Cellular transport and secretion (3 papers) and Mitochondrial Function and Pathology (2 papers). Thomas Di Mattia collaborates with scholars based in France, Italy and Singapore. Thomas Di Mattia's co-authors include Fabien Alpy, Catherine Tomasetto, Corinne Wendling, Guillaume Drin, Souade Ikhlef, Yves Nominé, Carole Mathelin, Léa P. Wilhelm, Danièle Spehner and Francesca Giordano and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Cell Biology and The EMBO Journal.

In The Last Decade

Thomas Di Mattia

10 papers receiving 279 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Di Mattia France 7 201 135 36 34 32 11 280
Shuwei Xie United States 12 207 1.0× 176 1.3× 38 1.1× 34 1.0× 11 0.3× 18 314
Björn D. M. Bean Canada 10 222 1.1× 162 1.2× 48 1.3× 38 1.1× 26 0.8× 12 304
Yuichi Yagita Japan 8 345 1.7× 68 0.5× 52 1.4× 26 0.8× 28 0.9× 10 377
Mikhail V. Egorov Italy 8 249 1.2× 198 1.5× 38 1.1× 46 1.4× 9 0.3× 9 334
Sabine Weys Austria 6 243 1.2× 179 1.3× 28 0.8× 53 1.6× 52 1.6× 6 348
Hemma Brandstaetter United Kingdom 8 217 1.1× 114 0.8× 32 0.9× 51 1.5× 6 0.2× 8 320
David Cruz-García Spain 10 223 1.1× 229 1.7× 52 1.4× 61 1.8× 7 0.2× 14 360
Yongqiang Deng United States 7 273 1.4× 260 1.9× 82 2.3× 56 1.6× 14 0.4× 9 428
Christopher L. Lord United States 8 223 1.1× 181 1.3× 21 0.6× 46 1.4× 9 0.3× 9 343
Aditya Anand United States 6 304 1.5× 199 1.5× 26 0.7× 65 1.9× 5 0.2× 8 435

Countries citing papers authored by Thomas Di Mattia

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Di Mattia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Di Mattia. 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 Thomas Di Mattia. The network helps show where Thomas Di Mattia may publish in the future.

Co-authorship network of co-authors of Thomas Di Mattia

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Di Mattia. A scholar is included among the top collaborators of Thomas Di Mattia 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 Thomas Di Mattia. Thomas Di Mattia 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
2.
Krishnan, Harini, et al.. (2024). A genetic screen to uncover mechanisms underlying lipid transfer protein function at membrane contact sites. Life Science Alliance. 7(6). e202302525–e202302525. 2 indexed citations
3.
Rouaud, Florian, Wenmao Huang, Ekaterina Vasileva, et al.. (2023). Cingulin and paracingulin tether myosins-2 to junctions to mechanoregulate the plasma membrane. The Journal of Cell Biology. 222(7). 18 indexed citations
4.
Mattia, Thomas Di, Corinne Wendling, Nario Tomishige, et al.. (2022). MOSPD2 is an endoplasmic reticulum–lipid droplet tether functioning in LD homeostasis. The Journal of Cell Biology. 221(6). 22 indexed citations
5.
Mattia, Thomas Di, Souade Ikhlef, Alastair G. McEwen, et al.. (2020). FFAT motif phosphorylation controls formation and lipid transfer function of inter‐organelle contacts. The EMBO Journal. 39(23). e104369–e104369. 96 indexed citations
6.
Mattia, Thomas Di, Catherine Tomasetto, & Fabien Alpy. (2019). MOSPD2, un connecteur inter-organites. médecine/sciences. 35(1). 23–25. 1 indexed citations
7.
Mattia, Thomas Di, Catherine Tomasetto, & Fabien Alpy. (2019). Faraway, so close! Functions of Endoplasmic reticulum–Endosome contacts. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1865(1). 158490–158490. 30 indexed citations
8.
Lodi, Massimo, Thomas Di Mattia, Marie‐Pierre Chenard, et al.. (2019). STARD3: A Swiss Army Knife for Intracellular Cholesterol Transport. SHILAP Revista de lepidopterología. 2. 10 indexed citations
9.
Mattia, Thomas Di, Léa P. Wilhelm, Souade Ikhlef, et al.. (2018). Identification of MOSPD2, a novel scaffold for endoplasmic reticulum membrane contact sites. EMBO Reports. 19(7). 92 indexed citations
10.
Pascucci, Ilaria, Marco Di Domenico, Thomas Di Mattia, et al.. (2014). Study of heartwater by infection of sheep with Ball 3 E. ruminantium stock in Namibia: clinical symptoms, gross lesions and molecular diagnosis.. Large animals review. 20(5). 215–219. 3 indexed citations
11.
Monaco, Federica, Andrea Polci, Rossella Lelli, et al.. (2011). A new duplex real-time RT-PCR assay for sensitive and specific detection of African horse sickness virus. Molecular and Cellular Probes. 25(2-3). 87–93. 6 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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