Mary Munson
Impact in
- Cell Biology top 0.5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Microtubule and mitosis dynamics
- Physiology top 1%
- Calcium signaling and nucleotide metabolism
Papers in
-
- Lipid Membrane Structure and Behavior 12
- Protein Kinase Regulation and GTPase Signaling 4
- Nuclear Structure and Function 4
- Protein Structure and Dynamics 3
- Cell Biology 31
- Cellular transport and secretion 31
- Endoplasmic Reticulum Stress and Disease 14
- Microtubule and mitosis dynamics 4
- Co-authors
- Peter Novick (2 shared papers)Margaret R. Heider (2 shared papers)Frederick M. Hughson (4 shared papers)Chavela M. Carr (4 shared papers)Lynne Regan (4 shared papers)Arne Gericke (3 shared papers)Alonzo H. Ross (3 shared papers)Tae‐Young Yoon (2 shared papers)
- Journals
- Protein Science (5 papers)Nature Structural & Molecular Biology (4 papers)Molecular Biology of the Cell (3 papers)The Journal of Cell Biology (3 papers)Gene (2 papers)
- Partner nations
- United StatesUnited KingdomPuerto Rico
In The Last Decade
Mary Munson
49 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 112
- Cell Biology 1.9k
- Physiology 266
- Molecular Biology 2.6k
- Aging 36
- Virology 88
Countries citing papers authored by Mary Munson
This map shows the geographic impact of Mary Munson'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 Mary Munson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Munson more than expected).
Fields of papers citing papers by Mary Munson
This network shows the impact of papers produced by Mary Munson. 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 Mary Munson. The network helps show where Mary Munson may publish in the future.
Co-authors
The 25 scholars most cited alongside Mary Munson, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 276 | |
| 2 | 2012 | 263 | |
| 3 | 1999 | 260 | |
| 4 | 2006 | 231 | |
| 5 | 1998 | 176 | |
| 6 | 2006 | 163 | |
| 7 | 1996 | 160 | |
| 8 | 2018 | 137 | |
| 9 | 2000 | 135 | |
| 10 | 2011 | 125 | |
| 11 | 2011 | 120 | |
| 12 | 1994 | 110 | |
| 13 | 2015 | 102 | |
| 14 | 2010 | 102 | |
| 15 | 2005 | 86 | |
| 16 | 2011 | 86 | |
| 17 | 2006 | 77 | |
| 18 | 2008 | 64 | |
| 19 | 2006 | 61 | |
| 20 | 2018 | 53 |
About Mary Munson
Mary Munson is a scholar working on Molecular Biology, Cell Biology, Physiology, Physiology and Genetics, having authored 49 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cellular transport and secretion (31 papers), Endoplasmic Reticulum Stress and Disease (14 papers), Lipid Membrane Structure and Behavior (12 papers), Microtubule and mitosis dynamics (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Nuclear Structure and Function (4 papers), Calcium signaling and nucleotide metabolism (3 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Cell Biology (1.9k citations), Physiology (266 citations), Molecular Biology (2.6k citations), Aging (36 citations) and Virology (88 citations). Mary Munson has collaborated with scholars based in United States, United Kingdom and Puerto Rico. Frequent co-authors include Peter Novick, Margaret R. Heider, Frederick M. Hughson, Chavela M. Carr, Lynne Regan, Arne Gericke, Alonzo H. Ross, Tae‐Young Yoon, Sudharshan Eathiraj and Xiaojing Pan. Their work appears in journals such as Protein Science, Nature Structural & Molecular Biology, Molecular Biology of the Cell, The Journal of Cell Biology and Gene.
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.