Ulrike Novak
- Oncology top 2%
- Cytokine Signaling Pathways and Interactions 17
- Polyomavirus and related diseases 7
- Immunology top 5%
- Immune Cell Function and Interaction 7
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research 9
- Genetics top 5%
- Virus-based gene therapy research 9
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 5
- CRISPR and Genetic Engineering 5
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- Proteoglycans and glycosaminoglycans research 6
- Co-authors
- Andrew H. KayeRobert KamenJohn A. HamiltonLucy ParadisoRichard TreismanJennifer M. FavaloroMark GroudineRichard Gelinas
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Ulrike Novak
60 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Oncology 1.3k
- Immunology 761
- Immunology and Allergy 195
- Genetics 701
- Molecular Biology 1.6k
Countries citing papers authored by Ulrike Novak
This map shows the geographic impact of Ulrike Novak'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 Ulrike Novak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrike Novak more than expected).
Fields of papers citing papers by Ulrike Novak
This network shows the impact of papers produced by Ulrike Novak. 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 Ulrike Novak. The network helps show where Ulrike Novak may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ulrike Novak, 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 | Assessing DLBCL subtypes by immunohistochemistry E-Letter in response to Gutierrez-Garcia et al | 2011 | 0 |
| 2 | 2007 | 8 | |
| 3 | 2005 | 43 | |
| 4 | 2000 | 19 | |
| 5 | 2000 | 11 | |
| 6 | 1999 | 15 | |
| 7 | Hyaluronidase-2 overexpression accelerates intracerebral but not subcutaneous tumor formation of murine astrocytoma cells. | 1999 | 54 |
| 8 | 1999 | 2 | |
| 9 | 1999 | 64 | |
| 10 | 1998 | 6 | |
| 11 | 1998 | 57 | |
| 12 | 1998 | 19 | |
| 13 | 1997 | 45 | |
| 14 | 1996 | 23 | |
| 15 | 1996 | 71 | |
| 16 | 1994 | 25 | |
| 17 | 1991 | 85 | |
| 18 | 1991 | 30 | |
| 19 | 1989 | 116 | |
| 20 | 1980 | 3 |
About Ulrike Novak
Ulrike Novak is a scholar working on Immunology and Allergy, Oncology and Immunology, having authored 61 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (17 papers), Virus-based gene therapy research (9 papers), Cell Adhesion Molecules Research (9 papers), Polyomavirus and related diseases (7 papers), Immune Cell Function and Interaction (7 papers), Proteoglycans and glycosaminoglycans research (6 papers), Glycosylation and Glycoproteins Research (5 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Oncology (1.3k citations), Immunology (761 citations) and Immunology and Allergy (195 citations). Ulrike Novak has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Andrew H. Kaye, Robert Kamen, John A. Hamilton, Lucy Paradiso, Richard Treisman, Jennifer M. Favaloro, Mark Groudine, Richard Gelinas, William C. Forrester and A W Burgess.
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.