Abe Pressman
Impact in
- Astronomy and Astrophysics top 10%
- Origins and Evolution of Life
-
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
- Advanced biosensing and bioanalysis techniques
- RNA modifications and cancer
Papers in
-
- RNA and protein synthesis mechanisms 7
- Gene Regulatory Network Analysis 4
- Genomics and Phylogenetic Studies 3
- CRISPR and Genetic Engineering 2
- Gene expression and cancer classification 1
- Bioinformatics and Genomic Networks 1
- Genetics 3
- Evolution and Genetic Dynamics 3
- Co-authors
- Irene A. Chen (5 shared papers)Celia Blanco (3 shared papers)Ulrich F. Müller (2 shared papers)Peter D. Tonner (4 shared papers)David Ross (3 shared papers)Irwin S. Pressman (1 shared paper)Atsushi Yamashita (1 shared paper)Stephanie Chen (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Current Opinion in Systems Biology (1 paper)Current Biology (1 paper)Molecular Systems Biology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Abe Pressman
10 papers receiving 422 citations
Peers
Comparison fields: 5 of 85
- Astronomy and Astrophysics 112
- Molecular Biology 302
- Genetics 120
- Archeology 25
- Building and Construction 24
Countries citing papers authored by Abe Pressman
This map shows the geographic impact of Abe Pressman'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 Abe Pressman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abe Pressman more than expected).
Fields of papers citing papers by Abe Pressman
This network shows the impact of papers produced by Abe Pressman. 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 Abe Pressman. The network helps show where Abe Pressman may publish in the future.
Co-authors
The 25 scholars most cited alongside Abe Pressman, 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 | 2015 | 122 | |
| 2 | 2019 | 75 | |
| 3 | 2005 | 48 | |
| 4 | 2017 | 44 | |
| 5 | 2021 | 41 | |
| 6 | 2019 | 31 | |
| 7 | 2017 | 25 | |
| 8 | 2022 | 23 | |
| 9 | 2021 | 14 | |
| 10 | 2023 | 3 | |
| 11 | 2020 | 0 |
About Abe Pressman
Abe Pressman is a scholar working on Molecular Biology, Genetics, Artificial Intelligence, Astronomy and Astrophysics and Building and Construction, having authored 11 papers that have together received 426 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), Gene Regulatory Network Analysis (4 papers), Genomics and Phylogenetic Studies (3 papers), Evolution and Genetic Dynamics (3 papers), CRISPR and Genetic Engineering (2 papers), Space Science and Extraterrestrial Life (1 paper), Gene expression and cancer classification (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Astronomy and Astrophysics (112 citations), Molecular Biology (302 citations), Genetics (120 citations), Archeology (25 citations) and Building and Construction (24 citations). Abe Pressman has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Irene A. Chen, Celia Blanco, Ulrich F. Müller, Peter D. Tonner, David Ross, Irwin S. Pressman, Atsushi Yamashita, Stephanie Chen, Robert Pascal and Gerald F. Joyce. Their work appears in journals such as Nucleic Acids Research, Current Opinion in Systems Biology, Current Biology, Molecular Systems Biology and PLoS ONE.
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.