Dana Ferraris
- Molecular Biology top 5%
- Organic Chemistry top 1%
- Cancer Research top 1%
- Oncology top 5%
- Biochemistry top 0.5%
- Co-authors
- Thomas LectkaTakashi TsukamotoBrandon YoungCamilo RojasWilliam J. DruryChristopher D. CoxTravis DuddingBarbara S. Slusher
- Topics
- PARP inhibition in cancer therapy (14 papers)Amino Acid Enzymes and Metabolism (13 papers)Chemical Synthesis and Analysis (10 papers)
- Journals
- Journal of the American Chemical SocietyJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- United StatesCzechiaFinland
In The Last Decade
Dana Ferraris
67 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 2.2k
- Organic Chemistry 1.5k
- Cancer Research 1.2k
- Oncology 902
- Biochemistry 540
Countries citing papers authored by Dana Ferraris
This map shows the geographic impact of Dana Ferraris'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 Dana Ferraris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana Ferraris more than expected).
Fields of papers citing papers by Dana Ferraris
This network shows the impact of papers produced by Dana Ferraris. 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 Dana Ferraris. The network helps show where Dana Ferraris may publish in the future.
Co-authorship network of co-authors of Dana Ferraris
This figure shows the co-authorship network connecting the top 25 collaborators of Dana Ferraris. A scholar is included among the top collaborators of Dana Ferraris 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 Dana Ferraris. Dana Ferraris 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 | 6 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 19 | |
| 6 | 30 | |
| 7 | 20 | |
| 8 | 20 | |
| 9 | The Metabolic Profile of Tumors Depends on Both the Responsible Genetic Lesion and Tissue Typebreakdown → | 515 |
| 10 | 69 | |
| 11 | 6 | |
| 12 | 410 | |
| 13 | 47 | |
| 14 | 22 | |
| 15 | 290 | |
| 16 | 19 | |
| 17 | 28 | |
| 18 | 49 | |
| 19 | 30 | |
| 20 | Statistical distribution of hydrogen over three positions in the brucite Mg(OH) 2 structure from electron diffractometry data | 9 |
About Dana Ferraris
Dana Ferraris is a scholar working on Biochemistry, Physiology and Biological Psychiatry, having authored 68 papers that have together received 4.9k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (14 papers), Amino Acid Enzymes and Metabolism (13 papers) and Chemical Synthesis and Analysis (10 papers). The work is most often cited by research in Cancer Research (1.2k citations), Biochemistry (540 citations) and Biological Psychiatry (171 citations). Dana Ferraris has collaborated with scholars based in United States, Czechia and Finland. Frequent co-authors include Thomas Lectka, Takashi Tsukamoto, Brandon Young, Camilo Rojas, William J. Drury, Christopher D. Cox, Travis Dudding, Barbara S. Slusher, Andrew E. Taggi and Ajit G. Thomas. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Journal of Neuroscience.
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.