Helen Messier
About
In The Last Decade
Helen Messier
10 papers receiving 390 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 311
- Oncology 155
- Immunology 52
- Cell Biology 50
- Genetics 37
Countries citing papers authored by Helen Messier
This map shows the geographic impact of Helen Messier'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 Helen Messier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helen Messier more than expected).
Fields of papers citing papers by Helen Messier
This network shows the impact of papers produced by Helen Messier. 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 Helen Messier. The network helps show where Helen Messier may publish in the future.
Co-authorship network of co-authors of Helen Messier
This figure shows the co-authorship network connecting the top 25 collaborators of Helen Messier. A scholar is included among the top collaborators of Helen Messier 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 Helen Messier. Helen Messier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | Evidence Supporting a Phased Immuno-physiological Approach to COVID-19 From Prevention Through Recovery. | 13 |
| 3 | 19 | |
| 4 | p21 contains independent binding sites for cyclin and cdk2: both sites are required to inhibit cdk2 kinase activity. | 77 |
| 5 | 83 | |
| 6 | 114 | |
| 7 | 7 | |
| 8 | 16 | |
| 9 | 40 | |
| 10 | 10 |
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.