Daniela Novick
- Immunology top 0.5%
- interferon and immune responses 16
- Immune Response and Inflammation 15
- Immune Cell Function and Interaction 13
- Immunotherapy and Immune Responses 8
- Hematology top 1%
- Autoimmune and Inflammatory Disorders Research 10
- Oncology top 2%
- Cytokine Signaling Pathways and Interactions 17
- Molecular Biology top 2%
- Inflammasome and immune disorders 31
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- Monoclonal and Polyclonal Antibodies Research 19
- Co-authors
- Menachem RubinsteinCharles A. DinarelloHartmut EngelmannDavid WallachBatya CohenSoohyun KimGilles KaplanskiLeonid L. Reznikov
- Journals
- Proceedings of the National Academy of Sciences (10 papers)Cytokine (5 papers)Journal of Biological Chemistry (4 papers)
- Partner nations
- IsraelUnited StatesFrance
In The Last Decade
Daniela Novick
89 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Immunology 3.9k
- Hematology 842
- Endocrine and Autonomic Systems 430
- Oncology 1.4k
- Molecular Biology 3.4k
Countries citing papers authored by Daniela Novick
This map shows the geographic impact of Daniela Novick'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 Daniela Novick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Novick more than expected).
Fields of papers citing papers by Daniela Novick
This network shows the impact of papers produced by Daniela Novick. 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 Daniela Novick. The network helps show where Daniela Novick may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniela Novick, 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 | 2023 | 2 | |
| 2 | 2022 | 0 | |
| 3 | LDL receptor and its family members serve as the cellular receptors for vesicular stomatitis virusbreakdown → | 2013 | 454 |
| 4 | Interleukin-18 and IL-18 Binding Proteinbreakdown → | 2013 | 692 |
| 5 | 2007 | 47 | |
| 6 | 2006 | 125 | |
| 7 | 2003 | 26 | |
| 8 | 2002 | 72 | |
| 9 | 2001 | 19 | |
| 10 | 1999 | 159 | |
| 11 | 1995 | 147 | |
| 12 | 1994 | 189 | |
| 13 | 1992 | 37 | |
| 14 | 1991 | 40 | |
| 15 | 1991 | 19 | |
| 16 | 1989 | 17 | |
| 17 | 1989 | 18 | |
| 18 | 1986 | 27 | |
| 19 | 1984 | 46 | |
| 20 | 1984 | 50 |
About Daniela Novick
Daniela Novick is a scholar working on Immunology, Hematology, Immunology and Allergy, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 90 papers that have together received 7.9k indexed citations. Recurring topics across this work include Inflammasome and immune disorders (31 papers), Monoclonal and Polyclonal Antibodies Research (19 papers), Cytokine Signaling Pathways and Interactions (17 papers), interferon and immune responses (16 papers), Immune Response and Inflammation (15 papers), Immune Cell Function and Interaction (13 papers), Autoimmune and Inflammatory Disorders Research (10 papers) and Immunotherapy and Immune Responses (8 papers). The work is most often cited by research in Immunology (3.9k citations), Hematology (842 citations), Endocrine and Autonomic Systems (430 citations), Oncology (1.4k citations) and Molecular Biology (3.4k citations). Daniela Novick has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Menachem Rubinstein, Charles A. Dinarello, Hartmut Engelmann, David Wallach, Batya Cohen, Soohyun Kim, Gilles Kaplanski, Leonid L. Reznikov, Soo Hyun Kim and Giamila Fantuzzi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cytokine, Journal of Biological Chemistry, Journal of Leukocyte Biology and Frontiers in Immunology.
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.