Eddy Rubin
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Cell Biology top 10%
- Zebrafish Biomedical Research Applications
Papers in
-
- RNA and protein synthesis mechanisms 2
- Genomics and Chromatin Dynamics 1
- Gene expression and cancer classification 1
- Pluripotent Stem Cells Research 1
-
- Chromosomal and Genetic Variations 2
- Co-authors
- Jan‐Fang Cheng (3 shared papers)Shyam Prabhakar (2 shared papers)Jackie Sloane‐Stanley (1 shared paper)Andrew Jarratt (1 shared paper)Marella de Bruijn (1 shared paper)Caroline L. Speck (1 shared paper)Matthew Burgess (1 shared paper)Pik-Shan Li (1 shared paper)
- Journals
- Green Chemistry (1 paper)Blood (1 paper)Proceedings of the National Academy of Sciences (1 paper)Science of Aging Knowledge Environment (1 paper)Genome Research (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Eddy Rubin
6 papers receiving 457 citations
Peers
Comparison fields: 5 of 54
- Hematology 93
- Cell Biology 117
- Genetics 51
- Molecular Biology 330
- Biotechnology 40
Countries citing papers authored by Eddy Rubin
This map shows the geographic impact of Eddy Rubin'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 Eddy Rubin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eddy Rubin more than expected).
Fields of papers citing papers by Eddy Rubin
This network shows the impact of papers produced by Eddy Rubin. 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 Eddy Rubin. The network helps show where Eddy Rubin may publish in the future.
Co-authors
The 25 scholars most cited alongside Eddy Rubin, 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 | 2007 | 199 | |
| 2 | 2005 | 117 | |
| 3 | 2011 | 104 | |
| 4 | 2004 | 37 | |
| 5 | 2001 | 4 | |
| 6 | Metagenomics, metatranscriptomics and single cell genomics reveal functional response of active Oceanospirillales to Gulf oil spill | 2012 | 1 |
About Eddy Rubin
Eddy Rubin is a scholar working on Molecular Biology, Plant Science, Pollution, Oceanography and Ecology, having authored 6 papers that have together received 462 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Chromatin Dynamics (1 paper), Zebrafish Biomedical Research Applications (1 paper), Acute Myeloid Leukemia Research (1 paper), Gene expression and cancer classification (1 paper), Microbial bioremediation and biosurfactants (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Hematology (93 citations), Cell Biology (117 citations), Genetics (51 citations), Molecular Biology (330 citations) and Biotechnology (40 citations). Eddy Rubin has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Jan‐Fang Cheng, Shyam Prabhakar, Jackie Sloane‐Stanley, Andrew Jarratt, Marella de Bruijn, Caroline L. Speck, Matthew Burgess, Pik-Shan Li, Wade Nottingham and Kevin Clark. Their work appears in journals such as Green Chemistry, Blood, Proceedings of the National Academy of Sciences, Science of Aging Knowledge Environment and Genome 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.