Steven DellaRocca
Impact in
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- Histone Deacetylase Inhibitors Research
- Protein Degradation and Inhibitors
- Heat shock proteins research
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
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- Peptidase Inhibition and Analysis
Papers in
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- Histone Deacetylase Inhibitors Research 8
- Protein Degradation and Inhibitors 7
- Heat shock proteins research 3
- Ubiquitin and proteasome pathways 2
- Cancer therapeutics and mechanisms 2
- Oncology 4
- PARP inhibition in cancer therapy 2
- Co-authors
- Maria Samson (12 shared papers)Ruzanna Atoyan (13 shared papers)Guang-Xin Xu (12 shared papers)Ling Yin (9 shared papers)Cheng-Jung Lai (8 shared papers)Brian Zifcak (9 shared papers)Da-Gong Wang (8 shared papers)Hai-Xiao Zhai (5 shared papers)
- Journals
- Cancer Research (6 papers)Blood (3 papers)Molecular Cancer Therapeutics (2 papers)Clinical Cancer Research (2 papers)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Steven DellaRocca
13 papers receiving 643 citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 524
- Oncology 167
- Genetics 40
- Hematology 33
- Organic Chemistry 91
Countries citing papers authored by Steven DellaRocca
This map shows the geographic impact of Steven DellaRocca'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 Steven DellaRocca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven DellaRocca more than expected).
Fields of papers citing papers by Steven DellaRocca
This network shows the impact of papers produced by Steven DellaRocca. 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 Steven DellaRocca. The network helps show where Steven DellaRocca may publish in the future.
Co-authors
The 25 scholars most cited alongside Steven DellaRocca, 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 | 2012 | 198 | |
| 2 | 2010 | 191 | |
| 3 | 2016 | 113 | |
| 4 | 2009 | 84 | |
| 5 | 2009 | 49 | |
| 6 | 2018 | 7 | |
| 7 | 2012 | 7 | |
| 8 | 2016 | 4 | |
| 9 | 2014 | 3 | |
| 10 | 2013 | 3 | |
| 11 | 2011 | 1 | |
| 12 | 2011 | 1 | |
| 13 | 2014 | 1 |
About Steven DellaRocca
Steven DellaRocca is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Genetics, having authored 13 papers that have together received 662 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (8 papers), Protein Degradation and Inhibitors (7 papers), Heat shock proteins research (3 papers), Ubiquitin and proteasome pathways (2 papers), Cancer therapeutics and mechanisms (2 papers), Lung Cancer Treatments and Mutations (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and PARP inhibition in cancer therapy (2 papers). The work is most often cited by research in Molecular Biology (524 citations), Oncology (167 citations), Genetics (40 citations), Hematology (33 citations) and Organic Chemistry (91 citations). Steven DellaRocca has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Maria Samson, Ruzanna Atoyan, Guang-Xin Xu, Ling Yin, Cheng-Jung Lai, Brian Zifcak, Da-Gong Wang, Hai-Xiao Zhai, Xiong Cai and Changgeng Qian. Their work appears in journals such as Cancer Research, Blood, Molecular Cancer Therapeutics and Clinical Cancer Research.
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.