Ulrike Novak

3.9k citations
61 papers · 3.3k indexed · 1 hit paper · h-index 33
Topics
Cytokine Signaling Pathways and Interactions (17 papers)Virus-based gene therapy research (9 papers)Cell Adhesion Molecules Research (9 papers)

In The Last Decade

Ulrike Novak

60 papers receiving 3.2k citations

Hit Papers

Transformation of rat cells by an altered polyoma virus g...19812026199620111981100200300

Peers

Ulrike Novak
Comparison fields: 5 of 112
  • Molecular Biology 1.6k
  • Oncology 1.3k
  • Immunology 761
  • Genetics 701
  • Cancer Research 350
Replace D Kioussis with:
D Kioussis United States
Ben-Zion Levi Israel
Mark J. Murray United States
Linda A. Cannizzaro United States
Klaus Seedorf Germany
Nicholas M. Gough Australia
Marc E. Key United States
Gaetano Romano United States
Masaharu Isobe Japan
N M Gough Australia
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Citations per field
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D Kioussis · 1×
Citations per year

Countries citing papers authored by Ulrike Novak

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Ulrike Novak

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrike Novak. A scholar is included among the top collaborators of Ulrike Novak 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 Ulrike Novak. Ulrike Novak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Assessing DLBCL subtypes by immunohistochemistry E-Letter in response to Gutierrez-Garcia et al
0
2 8
3 43
4 19
5 11
6 15
7
Hyaluronidase-2 overexpression accelerates intracerebral but not subcutaneous tumor formation of murine astrocytoma cells.
54
8 2
9 64
10 6
11 57
12 19
13 45
14 23
15 71
16 25
17 85
18 30
19 116
20 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) and Cell Adhesion Molecules Research (9 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. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids 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.

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