Yulia Ivanova
- Immunology top 1%
- Reproductive System and Pregnancy 1
- Immune cells in cancer 1
- Biological Psychiatry top 5%
- Cancer Research top 5%
- Neurology top 5%
- Molecular Biology top 10%
- Single-cell and spatial transcriptomics 1
- Epigenetics and DNA Methylation 1
-
- Viral gastroenteritis research and epidemiology 1
- Clostridium difficile and Clostridium perfringens research 1
-
- Autophagy in Disease and Therapy 1
-
- Microbial Natural Products and Biosynthesis 1
- Co-authors
- Maxim N. ArtyomovEdward J. PearceStanley Ching‐Cheng HuangBart EvertsAbhishek JhaAlexey SergushichevEdward M. DriggersVicky Lampropoulou
- Partner nations
- United StatesChinaRussia
In The Last Decade
Yulia Ivanova
5 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Immunology 2.0k
- Biological Psychiatry 68
- Cancer Research 406
- Neurology 180
- Molecular Biology 1.2k
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-authorship network
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 | Network Integration of Parallel Metabolic and Transcriptional Data Reveals Metabolic Modules that Regulate Macrophage Polarizationbreakdown → | 2015 | 1462 |
| 2 | 2014 | 324 | |
| 3 | Cell-intrinsic lysosomal lipolysis is essential for alternative activation of macrophagesbreakdown → | 2014 | 897 |
| 4 | 2014 | 447 | |
| 5 | 2009 | 48 |
About Yulia Ivanova
Yulia Ivanova is a scholar working on Physiology, Endocrinology, Immunology, Pharmacology and Infectious Diseases, having authored 5 papers that have together received 3.2k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (1 paper), Autophagy in Disease and Therapy (1 paper), Single-cell and spatial transcriptomics (1 paper), Microbial Natural Products and Biosynthesis (1 paper), Reproductive System and Pregnancy (1 paper), Clostridium difficile and Clostridium perfringens research (1 paper), Immune cells in cancer (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Immunology (2.0k citations), Biological Psychiatry (68 citations), Cancer Research (406 citations), Neurology (180 citations) and Molecular Biology (1.2k citations). Yulia Ivanova has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Maxim N. Artyomov, Edward J. Pearce, Stanley Ching‐Cheng Huang, Bart Everts, Abhishek Jha, Alexey Sergushichev, Edward M. Driggers, Vicky Lampropoulou, Kelly M. Stewart and Ekaterina Loginicheva. Their work appears in journals such as Nature Immunology, eLife, Organic Letters, Science and Immunity.
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.