Mary E. Law
Impact in
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
- Microtubule and mitosis dynamics
-
- Cancer-related Molecular Pathways
Papers in
-
- Ubiquitin and proteasome pathways 4
- Cell death mechanisms and regulation 3
- Wnt/β-catenin signaling in development and cancer 2
- Oncology 13
- Cancer-related Molecular Pathways 8
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Brian K. Law (22 shared papers)Patrick Corsino (10 shared papers)Ronald K. Castellano (10 shared papers)Bradley J. Davis (16 shared papers)Mengxiong Wang (6 shared papers)Satya Narayan (3 shared papers)Stephan C. Jahn (6 shared papers)Thomas C. Rowe (3 shared papers)
- Journals
- Cancer Letters (4 papers)Oncotarget (2 papers)Cancer Research (2 papers)iScience (1 paper)Cell Death Discovery (1 paper)
- Partner nations
- United StatesTaiwanDenmark
In The Last Decade
Mary E. Law
22 papers receiving 509 citations
Peers
Comparison fields: 5 of 77
- Cell Biology 167
- Oncology 188
- Physiology 21
- Molecular Biology 303
- Cancer Research 65
Countries citing papers authored by Mary E. Law
This map shows the geographic impact of Mary E. Law'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 E. Law with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary E. Law more than expected).
Fields of papers citing papers by Mary E. Law
This network shows the impact of papers produced by Mary E. Law. 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 E. Law. The network helps show where Mary E. Law may publish in the future.
Co-authors
The 25 scholars most cited alongside Mary E. Law, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 99 | |
| 2 | 2015 | 80 | |
| 3 | 2006 | 61 | |
| 4 | 2016 | 27 | |
| 5 | 2012 | 27 | |
| 6 | 2008 | 26 | |
| 7 | 2015 | 24 | |
| 8 | 2009 | 21 | |
| 9 | 2007 | 20 | |
| 10 | 2008 | 18 | |
| 11 | 2009 | 15 | |
| 12 | 2022 | 15 | |
| 13 | 2013 | 15 | |
| 14 | 2013 | 15 | |
| 15 | 2017 | 10 | |
| 16 | 2019 | 9 | |
| 17 | 2019 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2022 | 4 |
About Mary E. Law
Mary E. Law is a scholar working on Molecular Biology, Oncology, Cell Biology, Immunology and Cancer Research, having authored 22 papers that have together received 514 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (8 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Ubiquitin and proteasome pathways (4 papers), Microtubule and mitosis dynamics (3 papers), Cell death mechanisms and regulation (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Phagocytosis and Immune Regulation (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Cell Biology (167 citations), Oncology (188 citations), Physiology (21 citations), Molecular Biology (303 citations) and Cancer Research (65 citations). Mary E. Law has collaborated with scholars based in United States, Taiwan and Denmark. Frequent co-authors include Brian K. Law, Patrick Corsino, Ronald K. Castellano, Bradley J. Davis, Mengxiong Wang, Satya Narayan, Stephan C. Jahn, Thomas C. Rowe, Peter Nørgaard and Renan B. Ferreira. Their work appears in journals such as Cancer Letters, Oncotarget, Cancer Research, iScience and Cell Death Discovery.
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.