Yulia Ivanova
Impact in
- Immunology top 0.5%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
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- Immunotherapy and Immune Responses 1
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- Calcium signaling and nucleotide metabolism 1
- Co-authors
- Maxim N. Artyomov (4 shared papers)Bart Everts (2 shared papers)Stanley Ching‐Cheng Huang (2 shared papers)Edward J. Pearce (2 shared papers)Alexey Sergushichev (1 shared paper)Ekaterina Loginicheva (1 shared paper)Abhishek Jha (1 shared paper)Kelly M. Stewart (1 shared paper)
- Journals
- Organic Letters (1 paper)Immunity (1 paper)Science (1 paper)Nature (1 paper)Nature Immunology (1 paper)
- Partner nations
- United StatesGermanyRussia
In The Last Decade
Yulia Ivanova
7 papers receiving 5.2k citations
Yulia Ivanova's Hit Papers
Peers
Comparison fields: 5 of 111
- Immunology 3.2k
- Oncology 1.3k
- Cancer Research 539
- Biological Psychiatry 77
- Molecular Biology 1.7k
Countries citing papers authored by Yulia Ivanova
This map shows the geographic impact of Yulia Ivanova'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 Yulia Ivanova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yulia Ivanova more than expected).
Fields of papers citing papers by Yulia Ivanova
This network shows the impact of papers produced by Yulia Ivanova. 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 Yulia Ivanova. The network helps show where Yulia Ivanova may publish in the future.
Co-authors
The 25 scholars most cited alongside Yulia Ivanova, 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 | Checkpoint blockade cancer immunotherapy targets tumour-specific mutant antigens Hit paper breakdown → | 2014 | 1703 |
| 2 | Network Integration of Parallel Metabolic and Transcriptional Data Reveals Metabolic Modules that Regulate Macrophage Polarization Hit paper breakdown → | 2015 | 1661 |
| 3 | Cell-intrinsic lysosomal lipolysis is essential for alternative activation of macrophages Hit paper breakdown → | 2014 | 1002 |
| 4 | 2014 | 483 | |
| 5 | 2014 | 357 | |
| 6 | 2009 | 54 | |
| 7 | 2009 | 2 |
About Yulia Ivanova
Yulia Ivanova is a scholar working on Immunology, Physiology, Endocrinology, Molecular Biology and Pharmacology, having authored 7 papers that have together received 5.3k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (1 paper), Sphingolipid Metabolism and Signaling (1 paper), Autophagy in Disease and Therapy (1 paper), CAR-T cell therapy research (1 paper), Escherichia coli research studies (1 paper), Immunotherapy and Immune Responses (1 paper), Plant biochemistry and biosynthesis (1 paper) and Calcium signaling and nucleotide metabolism (1 paper). The work is most often cited by research in Immunology (3.2k citations), Oncology (1.3k citations), Cancer Research (539 citations), Biological Psychiatry (77 citations) and Molecular Biology (1.7k citations). Yulia Ivanova has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Maxim N. Artyomov, Bart Everts, Stanley Ching‐Cheng Huang, Edward J. Pearce, Alexey Sergushichev, Ekaterina Loginicheva, Abhishek Jha, Kelly M. Stewart, Edward M. Driggers and Vicky Lampropoulou. Their work appears in journals such as Organic Letters, Immunity, Science, Nature and Nature 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.