Maja Matis
Impact in
- Cell Biology top 2%
- Hippo pathway signaling and YAP/TAZ
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Cellular transport and secretion
-
- Wnt/β-catenin signaling in development and cancer
- Developmental Biology and Gene Regulation
Papers in
- Cell Biology 13
- Microtubule and mitosis dynamics 8
- Cellular Mechanics and Interactions 8
- Hippo pathway signaling and YAP/TAZ 7
- Cellular transport and secretion 2
- Co-authors
- Jeffrey D. AxelrodMilos GalicRoel NusseGraham A. AndersonMichael PovelonesDragana AnticCatriona Y. LoganClaire J. Tomlin
- Journals
- BioEssays (2 papers)eLife (2 papers)Seminars in Cell and Developmental Biology (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Nature Communications (1 paper)
- Partner nations
- GermanyUnited StatesSlovenia
In The Last Decade
Maja Matis
22 papers receiving 848 citations
Peers
Comparison fields: 5 of 83
- Cell Biology 537
- Molecular Biology 586
- Aging 11
- Cellular and Molecular Neuroscience 107
- Biochemistry 41
Countries citing papers authored by Maja Matis
This map shows the geographic impact of Maja Matis'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 Maja Matis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maja Matis more than expected).
Fields of papers citing papers by Maja Matis
This network shows the impact of papers produced by Maja Matis. 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 Maja Matis. The network helps show where Maja Matis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maja Matis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 7 | |
| 2 | 2021 | 5 | |
| 3 | 2021 | 78 | |
| 4 | 2020 | 32 | |
| 5 | 2018 | 76 | |
| 6 | 2017 | 34 | |
| 7 | 2016 | 10 | |
| 8 | 2015 | 11 | |
| 9 | 2014 | 101 | |
| 10 | 2014 | 6 | |
| 11 | 2014 | 62 | |
| 12 | 2014 | 43 | |
| 13 | 2013 | 106 | |
| 14 | 2012 | 7 | |
| 15 | 2011 | 8 | |
| 16 | 2008 | 195 | |
| 17 | 2008 | 5 | |
| 18 | 2005 | 14 | |
| 19 | 2004 | 12 | |
| 20 | 2000 | 3 |
About Maja Matis
Maja Matis is a scholar working on Cell Biology, Structural Biology, Aging, Biophysics and Biochemistry, having authored 22 papers that have together received 860 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (8 papers), Cellular Mechanics and Interactions (8 papers), Hippo pathway signaling and YAP/TAZ (7 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Lipid Membrane Structure and Behavior (2 papers), Cellular transport and secretion (2 papers), Micro and Nano Robotics (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). The work is most often cited by research in Cell Biology (537 citations), Molecular Biology (586 citations), Aging (11 citations), Cellular and Molecular Neuroscience (107 citations) and Biochemistry (41 citations). Maja Matis has collaborated with scholars based in Germany, United States and Slovenia. Frequent co-authors include Jeffrey D. Axelrod, Milos Galic, Roel Nusse, Graham A. Anderson, Michael Povelones, Dragana Antic, Catriona Y. Logan, Claire J. Tomlin, Qie Hu and David A. Russler‐Germain. Their work appears in journals such as BioEssays, eLife, Seminars in Cell and Developmental Biology, Frontiers in Cell and Developmental Biology and Nature Communications.
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.