Matthew R. Janes
- Molecular Biology top 5%
- Oncology top 5%
- Immunology top 10%
- Cancer Research top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Pingda RenChristian RommelMichael MartinKevan M. ShokatYi LiuLian‐Sheng LiKatti JessenShunyou Wang
- Topics
- PI3K/AKT/mTOR signaling in cancer (14 papers)Chronic Myeloid Leukemia Treatments (7 papers)Chronic Lymphocytic Leukemia Research (6 papers)
- Cited by
- Molecular BiologyGeneticsOncology
- Partner nations
- United StatesSingaporeUnited Kingdom
In The Last Decade
Matthew R. Janes
26 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Molecular Biology 2.2k
- Oncology 594
- Immunology 285
- Cancer Research 273
- Pulmonary and Respiratory Medicine 251
Countries citing papers authored by Matthew R. Janes
This map shows the geographic impact of Matthew R. Janes'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 R. Janes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew R. Janes more than expected).
Fields of papers citing papers by Matthew R. Janes
This network shows the impact of papers produced by Matthew R. Janes. 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 R. Janes. The network helps show where Matthew R. Janes may publish in the future.
Co-authorship network of co-authors of Matthew R. Janes
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew R. Janes. A scholar is included among the top collaborators of Matthew R. Janes 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 Matthew R. Janes. Matthew R. Janes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 78 | |
| 2 | 146 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 100 | |
| 6 | 4 | |
| 7 | Selective Inhibition of Oncogenic KRAS Output with Small Molecules Targeting the Inactive Statebreakdown → | 530 |
| 8 | 2 | |
| 9 | 33 | |
| 10 | 118 | |
| 11 | 59 | |
| 12 | The translational landscape of mTOR signalling steers cancer initiation and metastasisbreakdown → | 978 |
| 13 | 85 | |
| 14 | 3 | |
| 15 | 34 | |
| 16 | 14 | |
| 17 | 276 | |
| 18 | 40 | |
| 19 | 128 | |
| 20 | 1 |
About Matthew R. Janes
Matthew R. Janes is a scholar working on Hematology, Genetics and Molecular Biology, having authored 26 papers that have together received 2.7k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (14 papers), Chronic Myeloid Leukemia Treatments (7 papers) and Chronic Lymphocytic Leukemia Research (6 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Genetics (247 citations) and Oncology (594 citations). Matthew R. Janes has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Pingda Ren, Christian Rommel, Michael Martin, Kevan M. Shokat, Yi Liu, Lian‐Sheng Li, Katti Jessen, Shunyou Wang, Davide Ruggero and Andrew C. Hsieh. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.