Peter Gallant
Impact in
- Aging top 2%
- Cell Biology top 1%
- Hippo pathway signaling and YAP/TAZ
- Microtubule and mitosis dynamics
Papers in
- Cell Biology 14
- Hippo pathway signaling and YAP/TAZ 9
-
- Ubiquitin and proteasome pathways 17
- Genomics and Chromatin Dynamics 7
- Developmental Biology and Gene Regulation 6
- Co-authors
- Laura A. Johnston (3 shared papers)Erich A. Nigg (5 shared papers)Paola Bellosta (5 shared papers)Robert N. Eisenman (2 shared papers)David A. Prober (1 shared paper)Bruce A. Edgar (1 shared paper)Claire de la Cova (1 shared paper)Yuzuru Shiio (1 shared paper)
- Journals
- Cell (4 papers)Physics of Plasmas (4 papers)Molecular and Cellular Biology (3 papers)Molecular Cell (3 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- SwitzerlandGermanyCanada
In The Last Decade
Peter Gallant
58 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 130
- Aging 123
- Cell Biology 1.0k
- Molecular Biology 2.3k
- Oncology 643
- Immunology 462
Countries citing papers authored by Peter Gallant
This map shows the geographic impact of Peter Gallant'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 Peter Gallant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Gallant more than expected).
Fields of papers citing papers by Peter Gallant
This network shows the impact of papers produced by Peter Gallant. 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 Peter Gallant. The network helps show where Peter Gallant may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Gallant, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 533 | |
| 2 | 2004 | 506 | |
| 3 | 1992 | 259 | |
| 4 | 1990 | 151 | |
| 5 | 1996 | 150 | |
| 6 | 2002 | 148 | |
| 7 | 2014 | 132 | |
| 8 | 2007 | 122 | |
| 9 | 1994 | 108 | |
| 10 | 2019 | 98 | |
| 11 | 2005 | 85 | |
| 12 | 1993 | 83 | |
| 13 | 1998 | 75 | |
| 14 | 2021 | 74 | |
| 15 | 2008 | 73 | |
| 16 | 1998 | 68 | |
| 17 | 2005 | 67 | |
| 18 | 2005 | 61 | |
| 19 | 2000 | 55 | |
| 20 | 2019 | 55 |
About Peter Gallant
Peter Gallant is a scholar working on Cell Biology, Molecular Biology, Immunology, Nuclear and High Energy Physics and Cellular and Molecular Neuroscience, having authored 60 papers that have together received 3.5k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (17 papers), Hippo pathway signaling and YAP/TAZ (9 papers), Genomics and Chromatin Dynamics (7 papers), Laser-Plasma Interactions and Diagnostics (7 papers), Invertebrate Immune Response Mechanisms (6 papers), Laser-Matter Interactions and Applications (6 papers), Developmental Biology and Gene Regulation (6 papers) and Cancer-related Molecular Pathways (6 papers). The work is most often cited by research in Aging (123 citations), Cell Biology (1.0k citations), Molecular Biology (2.3k citations), Oncology (643 citations) and Immunology (462 citations). Peter Gallant has collaborated with scholars based in Switzerland, Germany and Canada. Frequent co-authors include Laura A. Johnston, Erich A. Nigg, Paola Bellosta, Robert N. Eisenman, David A. Prober, Bruce A. Edgar, Claire de la Cova, Yuzuru Shiio, Susan M. Parkhurst and Pei Feng Cheng. Their work appears in journals such as Cell, Physics of Plasmas, Molecular and Cellular Biology, Molecular Cell and Proceedings of the National Academy of Sciences.
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.