Moran N. Cabili
- Molecular Biology top 0.5%
- Cancer Research top 0.1%
- Genetics top 5%
- Endocrinology top 1%
- Epidemiology top 10%
- Co-authors
- John L. RinnAviv RegevLoyal A. GoffCole TrapnellBárbara Tazón‐VegaMagdalena J. KoziolEric S. LanderMitchell Guttman
- Topics
- Cancer-related molecular mechanisms research (9 papers)RNA Research and Splicing (7 papers)RNA modifications and cancer (4 papers)
- Journals
- NatureCellNature Genetics
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Moran N. Cabili
17 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Molecular Biology 7.1k
- Cancer Research 5.8k
- Genetics 608
- Endocrinology 432
- Epidemiology 357
Countries citing papers authored by Moran N. Cabili
This map shows the geographic impact of Moran N. Cabili'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 Moran N. Cabili with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moran N. Cabili more than expected).
Fields of papers citing papers by Moran N. Cabili
This network shows the impact of papers produced by Moran N. Cabili. 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 Moran N. Cabili. The network helps show where Moran N. Cabili may publish in the future.
Co-authorship network of co-authors of Moran N. Cabili
This figure shows the co-authorship network connecting the top 25 collaborators of Moran N. Cabili. A scholar is included among the top collaborators of Moran N. Cabili 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 Moran N. Cabili. Moran N. Cabili is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 15 | |
| 3 | 2 | |
| 4 | 96 | |
| 5 | 8 | |
| 6 | 27 | |
| 7 | Localization and abundance analysis of human lncRNAs at single-cell and single-molecule resolutionbreakdown → | 528 |
| 8 | 60 | |
| 9 | 228 | |
| 10 | 112 | |
| 11 | Peptidomic discovery of short open reading frame–encoded peptides in human cellsbreakdown → | 484 |
| 12 | 1 | |
| 13 | Integrative annotation of human large intergenic noncoding RNAs reveals global properties and specific subclassesbreakdown → | 2718 |
| 14 | 38 | |
| 15 | Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammalsbreakdown → | 3283 |
| 16 | 129 | |
| 17 | 467 |
About Moran N. Cabili
Moran N. Cabili is a scholar working on Cancer Research, Molecular Biology and Clinical Biochemistry, having authored 17 papers that have together received 8.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), RNA Research and Splicing (7 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Cancer Research (5.8k citations), Molecular Biology (7.1k citations) and Endocrinology (432 citations). Moran N. Cabili has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include John L. Rinn, Aviv Regev, Loyal A. Goff, Cole Trapnell, Bárbara Tazón‐Vega, Magdalena J. Koziol, Eric S. Lander, Mitchell Guttman, Manuel Garber and Ido Amit. Their work appears in journals such as Nature, Cell and Nature Genetics.
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.