Chris Hanson
About
In The Last Decade
Chris Hanson
4 papers receiving 392 citations
Hit Papers
Peers
Comparison fields: 5 of 35
- Genetics 355
- Hematology 297
- Molecular Biology 230
- Rheumatology 114
- Materials Chemistry 24
Countries citing papers authored by Chris Hanson
This map shows the geographic impact of Chris Hanson'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 Chris Hanson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Hanson more than expected).
Fields of papers citing papers by Chris Hanson
This network shows the impact of papers produced by Chris Hanson. 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 Chris Hanson. The network helps show where Chris Hanson may publish in the future.
Co-authorship network of co-authors of Chris Hanson
This figure shows the co-authorship network connecting the top 25 collaborators of Chris Hanson. A scholar is included among the top collaborators of Chris Hanson 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 Chris Hanson. Chris Hanson 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 | 28 | |
| 3 | CALR vs JAK2 vs MPL-mutated or triple-negative myelofibrosis: clinical, cytogenetic and molecular comparisons breakdown → | 366 |
| 4 | 1 |
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.