Zvi Pasman
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Circular RNAs in diseases
- RNA modifications and cancer
- DNA and Nucleic Acid Chemistry
Papers in
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- RNA and protein synthesis mechanisms 8
- RNA Research and Splicing 5
- RNA modifications and cancer 3
- DNA and Nucleic Acid Chemistry 2
- Circular RNAs in diseases 1
- Genetics 4
- Bacterial Genetics and Biotechnology 3
- Co-authors
- Mariano A. García-Blanco (4 shared papers)Peter H. von Hippel (4 shared papers)Michael D. Been (1 shared paper)Sharon F. Jamison (1 shared paper)Cindy L. Will (1 shared paper)James L. Manley (1 shared paper)Reinhard Lührmann (1 shared paper)Jin Wang (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Biochemistry (2 papers)Biophysical Chemistry (1 paper)RNA Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesSingapore
In The Last Decade
Zvi Pasman
11 papers receiving 448 citations
Peers
Comparison fields: 5 of 53
- Cancer Research 125
- Molecular Biology 430
- Genetics 91
- Biochemistry 9
- Ecology 30
Countries citing papers authored by Zvi Pasman
This map shows the geographic impact of Zvi Pasman'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 Zvi Pasman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zvi Pasman more than expected).
Fields of papers citing papers by Zvi Pasman
This network shows the impact of papers produced by Zvi Pasman. 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 Zvi Pasman. The network helps show where Zvi Pasman may publish in the future.
Co-authors
The 20 scholars most cited alongside Zvi Pasman, 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 | Exon circularization in mammalian nuclear extracts. | 1996 | 164 |
| 2 | 1995 | 95 | |
| 3 | 2000 | 71 | |
| 4 | 2011 | 25 | |
| 5 | 2008 | 23 | |
| 6 | 2002 | 23 | |
| 7 | 1996 | 21 | |
| 8 | 2002 | 15 | |
| 9 | 2022 | 8 | |
| 10 | 2023 | 5 | |
| 11 | 2016 | 3 |
About Zvi Pasman
Zvi Pasman is a scholar working on Molecular Biology, Genetics, Cancer Research, Cardiology and Cardiovascular Medicine and Ecology, having authored 11 papers that have together received 453 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), RNA Research and Splicing (5 papers), Bacterial Genetics and Biotechnology (3 papers), RNA modifications and cancer (3 papers), Cancer, Lipids, and Metabolism (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Viral Infections and Immunology Research (1 paper) and Circular RNAs in diseases (1 paper). The work is most often cited by research in Cancer Research (125 citations), Molecular Biology (430 citations), Genetics (91 citations), Biochemistry (9 citations) and Ecology (30 citations). Zvi Pasman has collaborated with scholars based in United States and Singapore. Frequent co-authors include Mariano A. García-Blanco, Peter H. von Hippel, Michael D. Been, Sharon F. Jamison, Cindy L. Will, James L. Manley, Reinhard Lührmann, Jin Wang, Adam C. Mirando and Gregory J. Smith. Their work appears in journals such as Nucleic Acids Research, Biochemistry, Biophysical Chemistry, RNA Biology and Proceedings of the National Academy of Sciences.
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.