Igor Ulitsky
- Cancer Research top 0.05%
- Cancer-related molecular mechanisms research 43
- MicroRNA in disease regulation 12
- Molecular Biology top 0.5%
- RNA Research and Splicing 41
- RNA modifications and cancer 35
- RNA and protein synthesis mechanisms 17
- Bioinformatics and Genomic Networks 14
- Circular RNAs in diseases 9
- Gene Regulatory Network Analysis 8
- Endocrinology top 1%
- Immunology top 5%
- Co-authors
- David P. BartelRon ShamirNoa GilRoded SharanAlena ShkumatavaCalvin H. JanHazel SiveYoav Lubelsky
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Igor Ulitsky
90 papers receiving 11.0k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Cancer Research 6.6k
- Molecular Biology 9.5k
- Endocrinology 513
- Immunology 557
- Computational Theory and Mathematics 383
Countries citing papers authored by Igor Ulitsky
This map shows the geographic impact of Igor Ulitsky'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 Igor Ulitsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Ulitsky more than expected).
Fields of papers citing papers by Igor Ulitsky
This network shows the impact of papers produced by Igor Ulitsky. 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 Igor Ulitsky. The network helps show where Igor Ulitsky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Igor Ulitsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 23 | |
| 5 | 2023 | 8 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 26 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 12 | |
| 12 | SARS-CoV-2 uses a multipronged strategy to impede host protein synthesisbreakdown → | 2021 | 160 |
| 13 | 2020 | 7 | |
| 14 | 2018 | 141 | |
| 15 | 2018 | 61 | |
| 16 | Circular RNAs are long-lived and display only minimal early alterations in response to a growth factorbreakdown → | 2015 | 535 |
| 17 | Beyond Secondary Structure: Primary-Sequence Determinants License Pri-miRNA Hairpins for Processing | 2013 | 11 |
| 18 | 2012 | 26 | |
| 19 | 2010 | 150 | |
| 20 | 2008 | 266 |
About Igor Ulitsky
Igor Ulitsky is a scholar working on Cancer Research, Molecular Biology and Endocrinology, having authored 94 papers that have together received 11.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (43 papers), RNA Research and Splicing (41 papers), RNA modifications and cancer (35 papers), RNA and protein synthesis mechanisms (17 papers), Bioinformatics and Genomic Networks (14 papers), MicroRNA in disease regulation (12 papers), Circular RNAs in diseases (9 papers) and Gene Regulatory Network Analysis (8 papers). The work is most often cited by research in Cancer Research (6.6k citations), Molecular Biology (9.5k citations) and Endocrinology (513 citations). Igor Ulitsky has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include David P. Bartel, Ron Shamir, Noa Gil, Roded Sharan, Alena Shkumatava, Calvin H. Jan, Hazel Sive, Yoav Lubelsky, Rotem Ben‐Tov Perry and David Koppstein. Their work appears in journals such as Nucleic Acids Research, Genome biology, Nature Communications, Molecular Systems Biology and Cell Reports.
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.