Matthew Freeman
Impact in
- Cell Biology top 0.2%
- Hippo pathway signaling and YAP/TAZ
- Cellular transport and secretion
- Cellular and Molecular Neuroscience top 0.5%
- Neurobiology and Insect Physiology Research
Papers in
-
- Developmental Biology and Gene Regulation 31
- Ubiquitin and proteasome pathways 10
- Signaling Pathways in Disease 9
- Cell Biology 35
- Hippo pathway signaling and YAP/TAZ 10
- Cellular Mechanics and Interactions 9
- Co-authors
- Siniša Urban (9 shared papers)Jonathan D. Wasserman (5 shared papers)Antonio Baonza (7 shared papers)Colin Adrain (8 shared papers)Tanita Casci (3 shared papers)Marius K. Lemberg (5 shared papers)Kvido Střı́šovský (10 shared papers)Javier Vinós (2 shared papers)
- Journals
- Development (12 papers)Current Biology (9 papers)Cell (8 papers)The EMBO Journal (7 papers)Molecular Cell (6 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Matthew Freeman
129 papers receiving 10.2k citations
Matthew Freeman's Hit Papers
Peers
Comparison fields: 5 of 167
- Cell Biology 2.6k
- Cellular and Molecular Neuroscience 2.2k
- Molecular Biology 7.7k
- Aging 198
- Immunology and Allergy 334
Countries citing papers authored by Matthew Freeman
This map shows the geographic impact of Matthew Freeman'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 Freeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Freeman more than expected).
Fields of papers citing papers by Matthew Freeman
This network shows the impact of papers produced by Matthew Freeman. 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 Freeman. The network helps show where Matthew Freeman may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Freeman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Reiterative Use of the EGF Receptor Triggers Differentiation of All Cell Types in the Drosophila Eye Hit paper breakdown → | 1996 | 759 |
| 2 | 2001 | 483 | |
| 3 | 2000 | 412 | |
| 4 | 1999 | 401 | |
| 5 | 2003 | 328 | |
| 6 | 2001 | 322 | |
| 7 | 2012 | 319 | |
| 8 | 1997 | 284 | |
| 9 | 1995 | 232 | |
| 10 | 1998 | 223 | |
| 11 | 1992 | 222 | |
| 12 | 1996 | 217 | |
| 13 | 2003 | 200 | |
| 14 | 2007 | 199 | |
| 15 | 1998 | 188 | |
| 16 | 2000 | 168 | |
| 17 | 1986 | 166 | |
| 18 | 2000 | 159 | |
| 19 | 2009 | 153 | |
| 20 | 1994 | 139 |
About Matthew Freeman
Matthew Freeman is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Immunology and Sociology and Political Science, having authored 139 papers that have together received 10.4k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (31 papers), Neurobiology and Insect Physiology Research (24 papers), Invertebrate Immune Response Mechanisms (13 papers), Digital Games and Media (13 papers), Ubiquitin and proteasome pathways (10 papers), Hippo pathway signaling and YAP/TAZ (10 papers), Signaling Pathways in Disease (9 papers) and Cellular Mechanics and Interactions (9 papers). The work is most often cited by research in Cell Biology (2.6k citations), Cellular and Molecular Neuroscience (2.2k citations), Molecular Biology (7.7k citations), Aging (198 citations) and Immunology and Allergy (334 citations). Matthew Freeman has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Siniša Urban, Jonathan D. Wasserman, Antonio Baonza, Colin Adrain, Tanita Casci, Marius K. Lemberg, Kvido Střı́šovský, Javier Vinós, G. Angus McQuibban and Yonka Christova. Their work appears in journals such as Development, Current Biology, Cell, The EMBO Journal and Molecular Cell.
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.