Marisa Meyers‐Needham
About
In The Last Decade
Marisa Meyers‐Needham
5 papers receiving 460 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 386
- Cell Biology 118
- Epidemiology 70
- Physiology 61
- Cancer Research 51
Countries citing papers authored by Marisa Meyers‐Needham
This map shows the geographic impact of Marisa Meyers‐Needham'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 Marisa Meyers‐Needham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marisa Meyers‐Needham more than expected).
Fields of papers citing papers by Marisa Meyers‐Needham
This network shows the impact of papers produced by Marisa Meyers‐Needham. 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 Marisa Meyers‐Needham. The network helps show where Marisa Meyers‐Needham may publish in the future.
Co-authorship network of co-authors of Marisa Meyers‐Needham
This figure shows the co-authorship network connecting the top 25 collaborators of Marisa Meyers‐Needham. A scholar is included among the top collaborators of Marisa Meyers‐Needham 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 Marisa Meyers‐Needham. Marisa Meyers‐Needham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 33 | |
| 3 | 53 | |
| 4 | 118 | |
| 5 | 251 |
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.