Julia Parrish-Novak
Impact in
- Immunology top 2%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
Papers in
- Genetics 4
- Glioma Diagnosis and Treatment 4
-
- Cancer Research and Treatments 3
- Co-authors
- Christopher H. CleggWenfeng XuDonald C. FosterDon FosterHal BlumbergStacey R. DillonHarald S. HaugenKevin P. Foley
- Journals
- Archives of Pathology & Laboratory Medicine (1 paper)Neurosurgical FOCUS (1 paper)Journal of Biological Chemistry (1 paper)Journal of Leukocyte Biology (1 paper)Nature Reviews Drug Discovery (1 paper)
- Partner nations
- United StatesAustraliaSouth Africa
In The Last Decade
Julia Parrish-Novak
13 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Immunology 1.1k
- Rheumatology 353
- Genetics 177
- Radiology, Nuclear Medicine and Imaging 294
- Oncology 309
Countries citing papers authored by Julia Parrish-Novak
This map shows the geographic impact of Julia Parrish-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 Julia Parrish-Novak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Parrish-Novak more than expected).
Fields of papers citing papers by Julia Parrish-Novak
This network shows the impact of papers produced by Julia Parrish-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 Julia Parrish-Novak. The network helps show where Julia Parrish-Novak may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Parrish-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 | 2025 | 0 | |
| 2 | 2021 | 25 | |
| 3 | 2019 | 86 | |
| 4 | 2018 | 24 | |
| 5 | 2017 | 38 | |
| 6 | 2016 | 29 | |
| 7 | 2015 | 61 | |
| 8 | 2015 | 16 | |
| 9 | 2014 | 101 | |
| 10 | 2014 | 13 | |
| 11 | 2004 | 27 | |
| 12 | 2002 | 231 | |
| 13 | 2002 | 211 | |
| 14 | TACI and BCMA are receptors for a TNF homologue implicated in B-cell autoimmune disease Hit paper breakdown → | 2000 | 967 |
About Julia Parrish-Novak
Julia Parrish-Novak is a scholar working on Genetics, Biotechnology, Otorhinolaryngology, Periodontics and Biomedical Engineering, having authored 14 papers that have together received 1.8k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (8 papers), Glioma Diagnosis and Treatment (4 papers), Photodynamic Therapy Research Studies (3 papers), Cancer Research and Treatments (3 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Immunology (1.1k citations), Rheumatology (353 citations), Genetics (177 citations), Radiology, Nuclear Medicine and Imaging (294 citations) and Oncology (309 citations). Julia Parrish-Novak has collaborated with scholars based in United States, Australia and South Africa. Frequent co-authors include Christopher H. Clegg, Wenfeng Xu, Donald C. Foster, Don Foster, Hal Blumberg, Stacey R. Dillon, Harald S. Haugen, Kevin P. Foley, Margaret Moore and Jane A. Gross. Their work appears in journals such as Archives of Pathology & Laboratory Medicine, Neurosurgical FOCUS, Journal of Biological Chemistry, Journal of Leukocyte Biology and Nature Reviews Drug Discovery.
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.