Marc Ferrell
About
In The Last Decade
Marc Ferrell
4 papers receiving 364 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Molecular Biology 253
- Cancer Research 73
- Epidemiology 32
- Physiology 32
- Immunology 27
Countries citing papers authored by Marc Ferrell
This map shows the geographic impact of Marc Ferrell'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 Marc Ferrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Ferrell more than expected).
Fields of papers citing papers by Marc Ferrell
This network shows the impact of papers produced by Marc Ferrell. 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 Marc Ferrell. The network helps show where Marc Ferrell may publish in the future.
Co-authorship network of co-authors of Marc Ferrell
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Ferrell. A scholar is included among the top collaborators of Marc Ferrell 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 Marc Ferrell. Marc Ferrell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | A terminal metabolite of niacin promotes vascular inflammation and contributes to cardiovascular disease risk breakdown → | 59 |
| 3 | 22 | |
| 4 | 258 |
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.