Giacomo Buscemi
About
In The Last Decade
Giacomo Buscemi
26 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 1.1k
- Oncology 533
- Cancer Research 244
- Cell Biology 199
- Genetics 127
Countries citing papers authored by Giacomo Buscemi
This map shows the geographic impact of Giacomo Buscemi'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 Giacomo Buscemi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giacomo Buscemi more than expected).
Fields of papers citing papers by Giacomo Buscemi
This network shows the impact of papers produced by Giacomo Buscemi. 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 Giacomo Buscemi. The network helps show where Giacomo Buscemi may publish in the future.
Co-authorship network of co-authors of Giacomo Buscemi
This figure shows the co-authorship network connecting the top 25 collaborators of Giacomo Buscemi. A scholar is included among the top collaborators of Giacomo Buscemi 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 Giacomo Buscemi. Giacomo Buscemi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 7 | |
| 4 | 16 | |
| 5 | 46 | |
| 6 | 36 | |
| 7 | 6 | |
| 8 | 20 | |
| 9 | 38 | |
| 10 | 311 | |
| 11 | 75 | |
| 12 | 31 | |
| 13 | 38 | |
| 14 | 29 | |
| 15 | 35 | |
| 16 | 63 | |
| 17 | 79 | |
| 18 | 24 | |
| 19 | 10 | |
| 20 | Expression of apoptosis-inducing CD95 (Fas/Apo-1) on human beta-cells sorted by flow-cytometry and cultured in vitro. | 52 |
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.