Emma Greenhill
About
In The Last Decade
Emma Greenhill
4 papers receiving 302 citations
Peers
Comparison fields: 5 of 63
- Molecular Biology 207
- Cell Biology 124
- Cancer Research 60
- Genetics 46
- Developmental Neuroscience 33
Countries citing papers authored by Emma Greenhill
This map shows the geographic impact of Emma Greenhill'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 Emma Greenhill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma Greenhill more than expected).
Fields of papers citing papers by Emma Greenhill
This network shows the impact of papers produced by Emma Greenhill. 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 Emma Greenhill. The network helps show where Emma Greenhill may publish in the future.
Co-authorship network of co-authors of Emma Greenhill
This figure shows the co-authorship network connecting the top 25 collaborators of Emma Greenhill. A scholar is included among the top collaborators of Emma Greenhill 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 Emma Greenhill. Emma Greenhill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 55 | |
| 3 | 1 | |
| 4 | 239 | |
| 5 | Microheterogeneity of human transferrin as revealed by agarose gel electrophoresis with an iron-specific stain. | 0 |
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.