Julia Foldi
Impact in
- Cancer Research top 5%
- Breast Cancer Treatment Studies
- NF-κB Signaling Pathways
- Immunology top 5%
- Immune cells in cancer
- Immune Response and Inflammation
- Atherosclerosis and Cardiovascular Diseases
- T-cell and B-cell Immunology
Papers in
-
- Breast Cancer Treatment Studies 17
- Cancer Genomics and Diagnostics 4
- Oncology 10
- HER2/EGFR in Cancer Research 4
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Lionel B. Ivashkiv (4 shared papers)Xiaoyu Hu (4 shared papers)Allen Y. Chung (3 shared papers)Yue‐Ming Li (2 shared papers)Haixia Xu (2 shared papers)Hasina H. Outtz (2 shared papers)Jimmy Zhu (2 shared papers)Jan Kitajewski (2 shared papers)
- Journals
- JNCI Journal of the National Cancer Institute (4 papers)npj Breast Cancer (4 papers)ESMO Open (3 papers)Current Oncology Reports (2 papers)Breast Cancer Research and Treatment (2 papers)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Julia Foldi
39 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 80
- Cancer Research 252
- Immunology 330
- Oncology 185
- Neurology 37
- Virology 18
Countries citing papers authored by Julia Foldi
This map shows the geographic impact of Julia Foldi'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 Foldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Foldi more than expected).
Fields of papers citing papers by Julia Foldi
This network shows the impact of papers produced by Julia Foldi. 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 Foldi. The network helps show where Julia Foldi may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Foldi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 383 | |
| 2 | 2008 | 231 | |
| 3 | 2010 | 109 | |
| 4 | 2019 | 70 | |
| 5 | 2021 | 57 | |
| 6 | 2016 | 44 | |
| 7 | 2016 | 30 | |
| 8 | 2019 | 25 | |
| 9 | 2017 | 22 | |
| 10 | 2022 | 22 | |
| 11 | 2022 | 19 | |
| 12 | 2018 | 16 | |
| 13 | 2022 | 16 | |
| 14 | 2025 | 15 | |
| 15 | 2018 | 14 | |
| 16 | 2024 | 14 | |
| 17 | 2021 | 13 | |
| 18 | 2023 | 13 | |
| 19 | 2024 | 12 | |
| 20 | 2024 | 10 |
About Julia Foldi
Julia Foldi is a scholar working on Cancer Research, Oncology, Pulmonary and Respiratory Medicine, Immunology and Virology, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (17 papers), Advanced Breast Cancer Therapies (10 papers), Cancer Genomics and Diagnostics (4 papers), HER2/EGFR in Cancer Research (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Immune Response and Inflammation (3 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Cancer Research (252 citations), Immunology (330 citations), Oncology (185 citations), Neurology (37 citations) and Virology (18 citations). Julia Foldi has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Lionel B. Ivashkiv, Xiaoyu Hu, Allen Y. Chung, Yue‐Ming Li, Haixia Xu, Hasina H. Outtz, Jimmy Zhu, Jan Kitajewski, Baohong Zhao and Lajos Pusztai. Their work appears in journals such as JNCI Journal of the National Cancer Institute, npj Breast Cancer, ESMO Open, Current Oncology Reports and Breast Cancer Research and Treatment.
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.