Armand Kurum
About
In The Last Decade
Armand Kurum
7 papers receiving 319 citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Biomedical Engineering 124
- Immunology 116
- Molecular Biology 96
- Oncology 86
- Cell Biology 73
Countries citing papers authored by Armand Kurum
This map shows the geographic impact of Armand Kurum'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 Armand Kurum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Armand Kurum more than expected).
Fields of papers citing papers by Armand Kurum
This network shows the impact of papers produced by Armand Kurum. 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 Armand Kurum. The network helps show where Armand Kurum may publish in the future.
Co-authorship network of co-authors of Armand Kurum
This figure shows the co-authorship network connecting the top 25 collaborators of Armand Kurum. A scholar is included among the top collaborators of Armand Kurum 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 Armand Kurum. Armand Kurum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 11 | |
| 3 | 3 | |
| 4 | Cancer-cell stiffening via cholesterol depletion enhances adoptive T-cell immunotherapy breakdown → | 176 |
| 5 | 56 | |
| 6 | 37 | |
| 7 | 4 |
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.