Juan M. Schvartzman
- Cell Biology top 2%
- Microtubule and mitosis dynamics 4
- Cancer Research top 10%
- Cancer Genomics and Diagnostics 3
- Cancer-related molecular mechanisms research 2
- Oncology top 10%
- Cancer-related Molecular Pathways 4
- PARP inhibition in cancer therapy 2
- Molecular Biology top 10%
- DNA Repair Mechanisms 4
- Epigenetics and DNA Methylation 3
- Histone Deacetylase Inhibitors Research 2
- Co-authors
- Rocı́o SotilloRobert BenezraCraig B. ThompsonLydia W.S. FinleyNicholas D. SocciElena Díaz‐RodríguezCourtney CokerPascal H. G. Duijf
- Cited by
- Cell BiologyCancer ResearchOncology
- Journals
- Molecular Cell (3 papers)Proceedings of the National Academy of Sciences (2 papers)The Journal of Cell Biology (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
Juan M. Schvartzman
12 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 84
- Cell Biology 528
- Cancer Research 273
- Oncology 342
- Molecular Biology 797
- Genetics 106
Countries citing papers authored by Juan M. Schvartzman
This map shows the geographic impact of Juan M. Schvartzman'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 Juan M. Schvartzman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan M. Schvartzman more than expected).
Fields of papers citing papers by Juan M. Schvartzman
This network shows the impact of papers produced by Juan M. Schvartzman. 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 Juan M. Schvartzman. The network helps show where Juan M. Schvartzman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Juan M. Schvartzman, 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 | 2023 | 1 | |
| 2 | 2023 | 26 | |
| 3 | 2022 | 3 | |
| 4 | 2022 | 2 | |
| 5 | 2019 | 12 | |
| 6 | 2019 | 30 | |
| 7 | 2018 | 167 | |
| 8 | 2011 | 146 | |
| 9 | 2010 | 212 | |
| 10 | 2010 | 327 | |
| 11 | 2008 | 123 | |
| 12 | 2008 | 3 |
About Juan M. Schvartzman
Juan M. Schvartzman is a scholar working on Cancer Research, Oncology, Cell Biology, Statistics, Probability and Uncertainty and Molecular Biology, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), Cancer-related Molecular Pathways (4 papers), Microtubule and mitosis dynamics (4 papers), Epigenetics and DNA Methylation (3 papers), Cancer Genomics and Diagnostics (3 papers), Histone Deacetylase Inhibitors Research (2 papers), Cancer-related molecular mechanisms research (2 papers) and PARP inhibition in cancer therapy (2 papers). The work is most often cited by research in Cell Biology (528 citations), Cancer Research (273 citations), Oncology (342 citations), Molecular Biology (797 citations) and Genetics (106 citations). Juan M. Schvartzman has collaborated with scholars based in United States and Spain. Frequent co-authors include Rocı́o Sotillo, Robert Benezra, Craig B. Thompson, Lydia W.S. Finley, Nicholas D. Socci, Elena Díaz‐Rodríguez, Courtney Coker, Pascal H. G. Duijf, Richard P. Koche and Vincent Reuter. Their work appears in journals such as Molecular Cell, Proceedings of the National Academy of Sciences, The Journal of Cell Biology, Nature reviews. Cancer and JCO Precision Oncology.
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.