Dan Rosson
Impact in
- Neurology top 10%
- Barrier Structure and Function Studies
- Biochemistry top 10%
- Amino Acid Enzymes and Metabolism
Papers in
-
- Polyamine Metabolism and Applications 3
- Glycosylation and Glycoproteins Research 2
- Cell death mechanisms and regulation 2
- RNA and protein synthesis mechanisms 2
-
- Amino Acid Enzymes and Metabolism 3
- Co-authors
- E. Premkumar Reddy (4 shared papers)Thomas G. O’Brien (5 shared papers)Alejandro Peralta Soler (2 shared papers)Zoltán Szállási (2 shared papers)James M. Mullin (2 shared papers)Janet A. Sawicki (1 shared paper)Susan K. Gilmour (1 shared paper)Louis C. Megosh (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)Archives of Biochemistry and Biophysics (2 papers)Virology (1 paper)Cancer Letters (1 paper)Nature (1 paper)
- Partner nations
- United States
In The Last Decade
Dan Rosson
17 papers receiving 590 citations
Peers
Comparison fields: 5 of 71
- Neurology 81
- Biochemistry 70
- Molecular Biology 473
- Genetics 42
- Cancer Research 52
Countries citing papers authored by Dan Rosson
This map shows the geographic impact of Dan Rosson'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 Dan Rosson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Rosson more than expected).
Fields of papers citing papers by Dan Rosson
This network shows the impact of papers produced by Dan Rosson. 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 Dan Rosson. The network helps show where Dan Rosson may publish in the future.
Co-authors
The 20 scholars most cited alongside Dan Rosson, 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 | Increased frequency of spontaneous skin tumors in transgenic mice which overexpress ornithine decarboxylase. | 1995 | 126 |
| 2 | 1986 | 104 | |
| 3 | 1997 | 83 | |
| 4 | 1998 | 69 | |
| 5 | 1987 | 50 | |
| 6 | Functional analysis of human ornithine decarboxylase alleles. | 2000 | 40 |
| 7 | 1995 | 34 | |
| 8 | Transcription of hematopoietic-associated oncogenes in childhood leukemia. | 1983 | 33 |
| 9 | 2004 | 25 | |
| 10 | 1998 | 13 | |
| 11 | 1995 | 13 | |
| 12 | 1987 | 6 | |
| 13 | 1990 | 6 | |
| 14 | 1988 | 4 | |
| 15 | 2001 | 3 | |
| 16 | 1980 | 3 | |
| 17 | 1982 | 1 |
About Dan Rosson
Dan Rosson is a scholar working on Molecular Biology, Biochemistry, Genetics, Public Health, Environmental and Occupational Health and Hematology, having authored 17 papers that have together received 613 indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (3 papers), Polyamine Metabolism and Applications (3 papers), Glycosylation and Glycoproteins Research (2 papers), Cell death mechanisms and regulation (2 papers), RNA and protein synthesis mechanisms (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Neurology (81 citations), Biochemistry (70 citations), Molecular Biology (473 citations), Genetics (42 citations) and Cancer Research (52 citations). Dan Rosson has collaborated with scholars based in United States. Frequent co-authors include E. Premkumar Reddy, Thomas G. O’Brien, Alejandro Peralta Soler, Zoltán Szállási, James M. Mullin, Janet A. Sawicki, Susan K. Gilmour, Louis C. Megosh, Manfred Blessing and Allan Tereba. Their work appears in journals such as Biochemical and Biophysical Research Communications, Archives of Biochemistry and Biophysics, Virology, Cancer Letters and Nature.
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.