David Casso
Impact in
- Oncology top 1%
- Cancer-related Molecular Pathways
- Biotechnology top 1%
- Cancer Research and Treatments
Papers in
-
- Hedgehog Signaling Pathway Studies 4
- Developmental Biology and Gene Regulation 4
- Ubiquitin and proteasome pathways 3
- Genomics and Chromatin Dynamics 3
- Oncology 6
- Cancer-related Molecular Pathways 6
- Co-authors
- David Beach (6 shared papers)Gregory J. Hannon (2 shared papers)Yue Xiong (1 shared paper)Hui Zhang (1 shared paper)Ryûji Kobayashi (1 shared paper)Thomas B. Kornberg (8 shared papers)Felipe-Andrés Ramı́rez-Weber (3 shared papers)Adrienne S. Gordon (2 shared papers)
- Journals
- Genetics (3 papers)Journal of Biological Chemistry (2 papers)Mechanisms of Development (2 papers)Molecular and Cellular Biology (2 papers)Molecular Cell (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
David Casso
17 papers receiving 3.8k citations
David Casso's Hit Papers
Peers
Comparison fields: 5 of 108
- Oncology 2.1k
- Biotechnology 356
- Molecular Biology 2.6k
- Cancer Research 472
- Cell Biology 498
Countries citing papers authored by David Casso
This map shows the geographic impact of David Casso'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 David Casso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Casso more than expected).
Fields of papers citing papers by David Casso
This network shows the impact of papers produced by David Casso. 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 David Casso. The network helps show where David Casso may publish in the future.
Co-authors
The 25 scholars most cited alongside David Casso, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | p21 is a universal inhibitor of cyclin kinases Hit paper breakdown → | 1993 | 2942 |
| 2 | 1990 | 225 | |
| 3 | 1999 | 159 | |
| 4 | 1994 | 120 | |
| 5 | 2000 | 106 | |
| 6 | 1992 | 70 | |
| 7 | 1996 | 64 | |
| 8 | 2005 | 42 | |
| 9 | 2000 | 39 | |
| 10 | 1994 | 34 | |
| 11 | 1992 | 26 | |
| 12 | 2008 | 18 | |
| 13 | 2006 | 16 | |
| 14 | 2010 | 16 | |
| 15 | 1996 | 12 | |
| 16 | 2012 | 4 | |
| 17 | Regulation of adenosine transport by acute and chronic ethanol exposure | 1989 | 1 |
About David Casso
David Casso is a scholar working on Molecular Biology, Oncology, Cell Biology, Genetics and Biotechnology, having authored 17 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), Hedgehog Signaling Pathway Studies (4 papers), Developmental Biology and Gene Regulation (4 papers), Ubiquitin and proteasome pathways (3 papers), Cancer Research and Treatments (3 papers), Genomics and Chromatin Dynamics (3 papers), Plant Molecular Biology Research (2 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Oncology (2.1k citations), Biotechnology (356 citations), Molecular Biology (2.6k citations), Cancer Research (472 citations) and Cell Biology (498 citations). David Casso has collaborated with scholars based in United States and Switzerland. Frequent co-authors include David Beach, Gregory J. Hannon, Yue Xiong, Hui Zhang, Ryûji Kobayashi, Thomas B. Kornberg, Felipe-Andrés Ramı́rez-Weber, Adrienne S. Gordon, Christopher C. Franklin and Laura E. Nagy. Their work appears in journals such as Genetics, Journal of Biological Chemistry, Mechanisms of Development, Molecular and Cellular Biology and Molecular Cell.
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.