Diana Hubbard
About
In The Last Decade
Diana Hubbard
5 papers receiving 450 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 328
- Oncology 170
- Cancer Research 123
- Pulmonary and Respiratory Medicine 105
- Cell Biology 48
Countries citing papers authored by Diana Hubbard
This map shows the geographic impact of Diana Hubbard'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 Diana Hubbard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diana Hubbard more than expected).
Fields of papers citing papers by Diana Hubbard
This network shows the impact of papers produced by Diana Hubbard. 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 Diana Hubbard. The network helps show where Diana Hubbard may publish in the future.
Co-authorship network of co-authors of Diana Hubbard
This figure shows the co-authorship network connecting the top 25 collaborators of Diana Hubbard. A scholar is included among the top collaborators of Diana Hubbard 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 Diana Hubbard. Diana Hubbard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | A note on the transverse invariant from Khovanov homology | 1 |
| 4 | 16 | |
| 5 | 317 | |
| 6 | 120 |
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.