Charles J. Di Como
- Molecular Biology top 5%
- Oncology top 2%
- Biotechnology top 1%
- Cell Biology top 5%
- Plant Science top 10%
- Co-authors
- Kim ArndtCarol PrivesChristian GaiddonMaría E. CárdenasMichael LorenzJoseph HeitmanN. Shane CutlerCarlos Cordon‐Cardo
- Topics
- Cancer-related Molecular Pathways (8 papers)Fungal and yeast genetics research (5 papers)Cancer Research and Treatments (4 papers)
- Cited by
- BiotechnologyOncologyAging
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Charles J. Di Como
18 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 2.4k
- Oncology 1.2k
- Biotechnology 375
- Cell Biology 367
- Plant Science 229
Countries citing papers authored by Charles J. Di Como
This map shows the geographic impact of Charles J. Di Como'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 Charles J. Di Como with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles J. Di Como more than expected).
Fields of papers citing papers by Charles J. Di Como
This network shows the impact of papers produced by Charles J. Di Como. 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 Charles J. Di Como. The network helps show where Charles J. Di Como may publish in the future.
Co-authorship network of co-authors of Charles J. Di Como
This figure shows the co-authorship network connecting the top 25 collaborators of Charles J. Di Como. A scholar is included among the top collaborators of Charles J. Di Como 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 Charles J. Di Como. Charles J. Di Como is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 15 | |
| 3 | 40 | |
| 4 | 95 | |
| 5 | p73 Expression in human normal and tumor tissues: loss of p73alpha expression is associated with tumor progression in bladder cancer. | 60 |
| 6 | 118 | |
| 7 | p63 expression profiles in human normal and tumor tissues. | 432 |
| 8 | 212 | |
| 9 | 78 | |
| 10 | 336 | |
| 11 | 65 | |
| 12 | 363 | |
| 13 | 482 | |
| 14 | 83 | |
| 15 | 136 | |
| 16 | 431 | |
| 17 | 92 | |
| 18 | 73 |
About Charles J. Di Como
Charles J. Di Como is a scholar working on Biotechnology, Oncology and Molecular Biology, having authored 18 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (8 papers), Fungal and yeast genetics research (5 papers) and Cancer Research and Treatments (4 papers). The work is most often cited by research in Biotechnology (375 citations), Oncology (1.2k citations) and Aging (67 citations). Charles J. Di Como has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Kim Arndt, Carol Prives, Christian Gaiddon, María E. Cárdenas, Michael Lorenz, Joseph Heitman, N. Shane Cutler, Carlos Cordon‐Cardo, Marshall Urist and Axel Hoos. Their work appears in journals such as Cell, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.