Matthew J. Schibler
- Molecular Biology top 10%
- Cell Biology top 5%
- Oncology top 10%
- Genetics
- Immunology
- Co-authors
- Shigeki TanakaJohn C. ReedStanisław KrajewskiWayne S. FentonFernando CabralBo-Wun HuangD. Martin WattersonSuraj P. Bhat
- Topics
- Microtubule and mitosis dynamics (8 papers)Cancer Treatment and Pharmacology (4 papers)Photosynthetic Processes and Mechanisms (2 papers)
- Partner nations
- United StatesCzechia
In The Last Decade
Matthew J. Schibler
17 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 1.3k
- Cell Biology 394
- Oncology 351
- Genetics 165
- Immunology 142
Countries citing papers authored by Matthew J. Schibler
This map shows the geographic impact of Matthew J. Schibler'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 J. Schibler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Schibler more than expected).
Fields of papers citing papers by Matthew J. Schibler
This network shows the impact of papers produced by Matthew J. Schibler. 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 J. Schibler. The network helps show where Matthew J. Schibler may publish in the future.
Co-authorship network of co-authors of Matthew J. Schibler
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Schibler. A scholar is included among the top collaborators of Matthew J. Schibler 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 J. Schibler. Matthew J. Schibler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | Stimulated Emission Depletion (STED) Microscopy: from Theory to Practice | 6 |
| 3 | 17 | |
| 4 | 106 | |
| 5 | 31 | |
| 6 | 47 | |
| 7 | 80 | |
| 8 | Investigation of the subcellular distribution of the bcl-2 oncoprotein: residence in the nuclear envelope, endoplasmic reticulum, and outer mitochondrial membranes.breakdown → | 911 |
| 9 | 70 | |
| 10 | 26 | |
| 11 | 95 | |
| 12 | 1 | |
| 13 | 14 | |
| 14 | 6 | |
| 15 | 107 | |
| 16 | 60 | |
| 17 | 12 |
About Matthew J. Schibler
Matthew J. Schibler is a scholar working on Structural Biology, Cell Biology and Oncology, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (8 papers), Cancer Treatment and Pharmacology (4 papers) and Photosynthetic Processes and Mechanisms (2 papers). The work is most often cited by research in Cell Biology (394 citations), Molecular Biology (1.3k citations) and Oncology (351 citations). Matthew J. Schibler has collaborated with scholars based in United States and Czechia. Frequent co-authors include Shigeki Tanaka, John C. Reed, Stanisław Krajewski, Wayne S. Fenton, Fernando Cabral, Bo-Wun Huang, D. Martin Watterson, Suraj P. Bhat, Natalia Abuladze and Alexander Pushkin. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology and The FASEB Journal.
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.