Oren Avram
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Escherichia coli research studies
Papers in
-
- Genomics and Phylogenetic Studies 10
- RNA and protein synthesis mechanisms 3
- vaccines and immunoinformatics approaches 3
- Glycosylation and Glycoproteins Research 2
- Genetics 9
- Bacterial Genetics and Biotechnology 5
- Co-authors
- Tal Pupko (18 shared papers)Itay Mayrose (3 shared papers)Shiran Abadi (2 shared papers)Saharon Rosset (1 shared paper)Niko Välimäki (1 shared paper)Minna Vehkala (1 shared paper)Lothar H. Wieler (1 shared paper)Samuel K. Sheppard (1 shared paper)
- Journals
- Molecular Biology and Evolution (3 papers)Nucleic Acids Research (2 papers)Bioinformatics (2 papers)Frontiers in Immunology (2 papers)Eye (1 paper)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Oren Avram
22 papers receiving 439 citations
Peers
Comparison fields: 5 of 83
- Molecular Medicine 74
- Endocrinology 75
- Microbiology 3
- Modeling and Simulation 17
- Molecular Biology 214
Countries citing papers authored by Oren Avram
This map shows the geographic impact of Oren Avram'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 Oren Avram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oren Avram more than expected).
Fields of papers citing papers by Oren Avram
This network shows the impact of papers produced by Oren Avram. 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 Oren Avram. The network helps show where Oren Avram may publish in the future.
Co-authors
The 25 scholars most cited alongside Oren Avram, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 140 | |
| 2 | 2019 | 98 | |
| 3 | 2020 | 34 | |
| 4 | 2020 | 31 | |
| 5 | 2022 | 23 | |
| 6 | 2021 | 19 | |
| 7 | 2021 | 18 | |
| 8 | 2021 | 14 | |
| 9 | 2018 | 11 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2015 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2023 | 1 |
About Oren Avram
Oren Avram is a scholar working on Molecular Biology, Genetics, Radiology, Nuclear Medicine and Imaging, Ecology and Ophthalmology, having authored 22 papers that have together received 440 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), Bacterial Genetics and Biotechnology (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), RNA and protein synthesis mechanisms (3 papers), vaccines and immunoinformatics approaches (3 papers), Bacteriophages and microbial interactions (3 papers), Retinal Imaging and Analysis (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Molecular Medicine (74 citations), Endocrinology (75 citations), Microbiology (3 citations), Modeling and Simulation (17 citations) and Molecular Biology (214 citations). Oren Avram has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Tal Pupko, Itay Mayrose, Shiran Abadi, Saharon Rosset, Niko Välimäki, Minna Vehkala, Lothar H. Wieler, Samuel K. Sheppard, Ben Pascoe and Katharina Schaufler. Their work appears in journals such as Molecular Biology and Evolution, Nucleic Acids Research, Bioinformatics, Frontiers in Immunology and Eye.
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.