Omid R. Faridani
- Molecular Biology top 1%
- Cancer Research top 1%
- Immunology top 2%
- Oncology top 5%
- Genetics top 5%
- Co-authors
- Rickard SandbergÅsa K. BjörklundSven SagasserGösta WinbergSimone PicelliDaniel RamsköldMichael Hagemann-JensenGary P. Schroth
- Topics
- Single-cell and spatial transcriptomics (9 papers)MicroRNA in disease regulation (7 papers)Cancer-related molecular mechanisms research (5 papers)
In The Last Decade
Omid R. Faridani
21 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 5.2k
- Cancer Research 1.6k
- Immunology 1.4k
- Oncology 721
- Genetics 451
Countries citing papers authored by Omid R. Faridani
This map shows the geographic impact of Omid R. Faridani'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 Omid R. Faridani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omid R. Faridani more than expected).
Fields of papers citing papers by Omid R. Faridani
This network shows the impact of papers produced by Omid R. Faridani. 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 Omid R. Faridani. The network helps show where Omid R. Faridani may publish in the future.
Co-authorship network of co-authors of Omid R. Faridani
This figure shows the co-authorship network connecting the top 25 collaborators of Omid R. Faridani. A scholar is included among the top collaborators of Omid R. Faridani 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 Omid R. Faridani. Omid R. Faridani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 41 | |
| 3 | 1 | |
| 4 | 22 | |
| 5 | 41 | |
| 6 | Single-cell RNA counting at allele and isoform resolution using Smart-seq3breakdown → | 407 |
| 7 | 53 | |
| 8 | 327 | |
| 9 | 154 | |
| 10 | 3 | |
| 11 | Full-length RNA-seq from single cells using Smart-seq2breakdown → | 2473 |
| 12 | 13 | |
| 13 | Smart-seq2 for sensitive full-length transcriptome profiling in single cellsbreakdown → | 1587 |
| 14 | 113 | |
| 15 | Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cellsbreakdown → | 1174 |
| 16 | 40 | |
| 17 | 95 | |
| 18 | 6 | |
| 19 | 52 | |
| 20 | 54 |
About Omid R. Faridani
Omid R. Faridani is a scholar working on Cancer Research, Molecular Biology and Immunology, having authored 21 papers that have together received 6.7k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (9 papers), MicroRNA in disease regulation (7 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Cancer Research (1.6k citations), Molecular Biology (5.2k citations) and Immunology (1.4k citations). Omid R. Faridani has collaborated with scholars based in Sweden, Australia and Estonia. Frequent co-authors include Rickard Sandberg, Åsa K. Björklund, Sven Sagasser, Gösta Winberg, Simone Picelli, Daniel Ramsköld, Michael Hagemann-Jensen, Gary P. Schroth, Qiaolin Deng and Irina Khrebtukova. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids 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.