Sean M. Grimmond
- Molecular Biology top 0.5%
- Cancer Research top 0.2%
- Genetics top 1%
- Oncology top 2%
- Immunology top 5%
- Co-authors
- Nicole CloonanBrooke GardinerKen C. PangJohn S. MattickAlistair R. R. ForrestAndrew C. PerkinsGabriel KolleMelissa H. Little
- Topics
- Renal and related cancers (23 papers)Cancer Genomics and Diagnostics (19 papers)Pancreatic and Hepatic Oncology Research (18 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Sean M. Grimmond
174 papers receiving 10.8k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Molecular Biology 8.1k
- Cancer Research 3.0k
- Genetics 1.3k
- Oncology 1.3k
- Immunology 796
Countries citing papers authored by Sean M. Grimmond
This map shows the geographic impact of Sean M. Grimmond'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 Sean M. Grimmond with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean M. Grimmond more than expected).
Fields of papers citing papers by Sean M. Grimmond
This network shows the impact of papers produced by Sean M. Grimmond. 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 Sean M. Grimmond. The network helps show where Sean M. Grimmond may publish in the future.
Co-authorship network of co-authors of Sean M. Grimmond
This figure shows the co-authorship network connecting the top 25 collaborators of Sean M. Grimmond. A scholar is included among the top collaborators of Sean M. Grimmond 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 Sean M. Grimmond. Sean M. Grimmond is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 26 | |
| 4 | Chaperone-mediated protein degradation (CHAMP): A novel technology for tumor-targeted protein degradation. | 2 |
| 5 | 9 | |
| 6 | 31 | |
| 7 | 67 | |
| 8 | Pancreatic cancer: challenges for therapeutic development | 1 |
| 9 | 9 | |
| 10 | 90 | |
| 11 | 86 | |
| 12 | 21 | |
| 13 | 6 | |
| 14 | 39 | |
| 15 | p53 is required for etoposide-induced apoptosis of human embryonic stem cells (vol 1, pg 116, 2008) | 1 |
| 16 | 196 | |
| 17 | 20 | |
| 18 | 83 | |
| 19 | Generation of diversity in the innate immune system. Macrophage heterogeneity arises from gene-autonomous transcriptional probability of individual inducible genes. | 20 |
| 20 | 41 |
About Sean M. Grimmond
Sean M. Grimmond is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 178 papers that have together received 11.0k indexed citations. Recurring topics across this work include Renal and related cancers (23 papers), Cancer Genomics and Diagnostics (19 papers) and Pancreatic and Hepatic Oncology Research (18 papers). The work is most often cited by research in Cancer Research (3.0k citations), Molecular Biology (8.1k citations) and Microbiology (311 citations). Sean M. Grimmond has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Nicole Cloonan, Brooke Gardiner, Ken C. Pang, John S. Mattick, Alistair R. R. Forrest, Andrew C. Perkins, Gabriel Kolle, Melissa H. Little, Marcel E. Dinger and Tim R. Mercer. Their work appears in journals such as Nature, 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.