Eric G. Marcusson
- Molecular Biology top 2%
- Cancer Research top 0.5%
- Cell Biology top 1%
- Oncology top 5%
- Immunology top 10%
- Co-authors
- Scott D. EmrJoan Lin CereghinoNicholas M. DeanBalkrishen BhatBruce HorazdovskyEditte GharakhanianMatthew SeamanElizabeth Pan
- Topics
- MicroRNA in disease regulation (18 papers)RNA Interference and Gene Delivery (15 papers)Circular RNAs in diseases (9 papers)
- Partner nations
- United StatesDenmarkJapan
In The Last Decade
Eric G. Marcusson
47 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 3.8k
- Cancer Research 2.1k
- Cell Biology 816
- Oncology 688
- Immunology 359
Countries citing papers authored by Eric G. Marcusson
This map shows the geographic impact of Eric G. Marcusson'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 Eric G. Marcusson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric G. Marcusson more than expected).
Fields of papers citing papers by Eric G. Marcusson
This network shows the impact of papers produced by Eric G. Marcusson. 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 Eric G. Marcusson. The network helps show where Eric G. Marcusson may publish in the future.
Co-authorship network of co-authors of Eric G. Marcusson
This figure shows the co-authorship network connecting the top 25 collaborators of Eric G. Marcusson. A scholar is included among the top collaborators of Eric G. Marcusson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eric G. Marcusson. Eric G. Marcusson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 22 | |
| 3 | 39 | |
| 4 | 150 | |
| 5 | 102 | |
| 6 | 69 | |
| 7 | 126 | |
| 8 | Therapeutic silencing of miR-10b inhibits metastasis in a mouse mammary tumor model | 33 |
| 9 | Therapeutic silencing of miR-10b inhibits metastasis in a mouse mammary tumor modelbreakdown → | 608 |
| 10 | 86 | |
| 11 | 91 | |
| 12 | Up-regulation of soluble RANKL at tumor-bone interface is critical for mammary tumor-induced osteolysis | 2 |
| 13 | 14 | |
| 14 | 55 | |
| 15 | MicroRNA-143 Regulates Adipocyte Differentiationbreakdown → | 831 |
| 16 | 122 | |
| 17 | 30 | |
| 18 | 139 | |
| 19 | 421 | |
| 20 | 9 |
About Eric G. Marcusson
Eric G. Marcusson is a scholar working on Cancer Research, Molecular Biology and Cell Biology, having authored 47 papers that have together received 4.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (18 papers), RNA Interference and Gene Delivery (15 papers) and Circular RNAs in diseases (9 papers). The work is most often cited by research in Cancer Research (2.1k citations), Molecular Biology (3.8k citations) and Cell Biology (816 citations). Eric G. Marcusson has collaborated with scholars based in United States, Denmark and Japan. Frequent co-authors include Scott D. Emr, Joan Lin Cereghino, Nicholas M. Dean, Balkrishen Bhat, Bruce Horazdovsky, Editte Gharakhanian, Matthew Seaman, Elizabeth Pan, Robert A. Weinberg and George W. Bell. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids 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.