D K Ferris
Impact in
-
- Cancer-related Molecular Pathways
-
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Mast cells and histamine
Papers in
-
- DNA Repair Mechanisms 2
- Ubiquitin and proteasome pathways 2
-
- Microtubule and mitosis dynamics 3
- Co-authors
- DL Longo (3 shared papers)DL Longo (2 shared papers)Yang Feng (1 shared paper)Paul O’Connor (1 shared paper)Giulio Draetta (1 shared paper)Diana Linnekin (1 shared paper)Kurt W. Kohn (1 shared paper)Joany Jackman (1 shared paper)
- Journals
- The Journal of Immunology (2 papers)Proceedings of the National Academy of Sciences (1 paper)Blood (1 paper)PubMed (5 papers)
- Partner nations
- United StatesBrazil
In The Last Decade
D K Ferris
9 papers receiving 445 citations
Peers
Comparison fields: 5 of 55
- Oncology 203
- Immunology 150
- Cell Biology 97
- Molecular Biology 239
- Pathology and Forensic Medicine 59
Countries citing papers authored by D K Ferris
This map shows the geographic impact of D K Ferris'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 D K Ferris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D K Ferris more than expected).
Fields of papers citing papers by D K Ferris
This network shows the impact of papers produced by D K Ferris. 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 D K Ferris. The network helps show where D K Ferris may publish in the future.
Co-authors
The 25 scholars most cited alongside D K Ferris, 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 | 1996 | 102 | |
| 2 | Relationships between cdc2 kinase, DNA cross-linking, and cell cycle perturbations induced by nitrogen mustard. | 1992 | 82 |
| 3 | 1994 | 76 | |
| 4 | In vivo antitumor effects of unconjugated CD30 monoclonal antibodies on human anaplastic large-cell lymphoma xenografts. | 1995 | 69 |
| 5 | Polo-like kinase interacts with proteasomes and regulates their activity. | 2001 | 52 |
| 6 | 1997 | 39 | |
| 7 | 1991 | 23 | |
| 8 | p34cdc2 is physically associated with and phosphorylated by a cdc2-specific tyrosine kinase. | 1991 | 7 |
| 9 | Biochemical and molecular events controlled by lymphokine growth factors. | 1988 | 2 |
About D K Ferris
D K Ferris is a scholar working on Molecular Biology, Cell Biology, Genetics, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 452 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), DNA Repair Mechanisms (2 papers), Ubiquitin and proteasome pathways (2 papers), Lymphoma Diagnosis and Treatment (1 paper), Chronic Myeloid Leukemia Treatments (1 paper) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Oncology (203 citations), Immunology (150 citations), Cell Biology (97 citations), Molecular Biology (239 citations) and Pathology and Forensic Medicine (59 citations). D K Ferris has collaborated with scholars based in United States and Brazil. Frequent co-authors include DL Longo, DL Longo, Yang Feng, Paul O’Connor, Giulio Draetta, Diana Linnekin, Kurt W. Kohn, Joany Jackman, Sherry Mou and Ingrid Hoffmann. Their work appears in journals such as The Journal of Immunology, Proceedings of the National Academy of Sciences, Blood and PubMed.
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.