Luna Musib
- Molecular Biology top 5%
- Oncology top 5%
- Genetics top 1%
- Pulmonary and Respiratory Medicine top 5%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Donald ThorntonHoward A. FineIris T. ChanIan E. TempletonMichael WellerLawrence CherMartin J. van den BentAstra M. Liepa
- Topics
- PI3K/AKT/mTOR signaling in cancer (28 papers)Cancer Treatment and Pharmacology (23 papers)Colorectal Cancer Treatments and Studies (17 papers)
- Cited by
- GeneticsOncologyCancer Research
- Partner nations
- United StatesFranceGermany
In The Last Decade
Luna Musib
76 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 1.4k
- Oncology 952
- Genetics 751
- Pulmonary and Respiratory Medicine 483
- Pathology and Forensic Medicine 405
Countries citing papers authored by Luna Musib
This map shows the geographic impact of Luna Musib'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 Luna Musib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luna Musib more than expected).
Fields of papers citing papers by Luna Musib
This network shows the impact of papers produced by Luna Musib. 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 Luna Musib. The network helps show where Luna Musib may publish in the future.
Co-authorship network of co-authors of Luna Musib
This figure shows the co-authorship network connecting the top 25 collaborators of Luna Musib. A scholar is included among the top collaborators of Luna Musib 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 Luna Musib. Luna Musib 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 | 30 | |
| 3 | 4 | |
| 4 | 23 | |
| 5 | 73 | |
| 6 | 6 | |
| 7 | 31 | |
| 8 | 22 | |
| 9 | 201 | |
| 10 | 43 | |
| 11 | 359 | |
| 12 | 81 | |
| 13 | 40 | |
| 14 | Abstract #LB-256: Enzastaurin inhibits in vivo GSK3\#946; phosphorylation in early breast cancer | 2 |
| 15 | 14 | |
| 16 | 22 | |
| 17 | 21 | |
| 18 | Phase I/pharmacokinetic study of enzastaurin plus temozolomide during and following radiation therapy in patients with newly diagnosed glioblastoma multiforme or gliosarcoma | 1 |
| 19 | 6 | |
| 20 | 150 |
About Luna Musib
Luna Musib is a scholar working on Oncology, Genetics and Pharmacology, having authored 77 papers that have together received 2.6k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (28 papers), Cancer Treatment and Pharmacology (23 papers) and Colorectal Cancer Treatments and Studies (17 papers). The work is most often cited by research in Genetics (751 citations), Oncology (952 citations) and Cancer Research (342 citations). Luna Musib has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Donald Thornton, Howard A. Fine, Iris T. Chan, Ian E. Templeton, Michael Weller, Lawrence Cher, Martin J. van den Bent, Astra M. Liepa, Shengyan Hong and Alain Carpentier. Their work appears in journals such as Journal of Clinical Oncology, Neurology and Cancer Research.
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.