Julia Dmitrieva
Impact in
- Genetics top 5%
- Genetic Associations and Epidemiology
- Inflammatory Bowel Disease
- Genetic Mapping and Diversity in Plants and Animals
- Immunology top 10%
- Immune Cell Function and Interaction
Papers in
-
- Galectins and Cancer Biology 2
- Immunodeficiency and Autoimmune Disorders 1
- Genetics 3
- Co-authors
- Sergio Mauro (1 shared paper)Philippe Thonart (1 shared paper)Pascal Veys (1 shared paper)Jean‐Claude Twizere (1 shared paper)Micheline Vandenbol (1 shared paper)Laurence Lins (1 shared paper)Coralie Damon (1 shared paper)István E. Markó (1 shared paper)
- Journals
- Nature Genetics (2 papers)Science Advances (1 paper)Nature Communications (1 paper)Nature (1 paper)Plant Physiology and Biochemistry (1 paper)
- Partner nations
- BelgiumUnited StatesUnited Kingdom
In The Last Decade
Julia Dmitrieva
9 papers receiving 2.2k citations
Julia Dmitrieva's Hit Papers
Peers
Comparison fields: 5 of 104
- Genetics 795
- Immunology 376
- Molecular Biology 788
- Immunology and Allergy 50
- Biological Psychiatry 20
Countries citing papers authored by Julia Dmitrieva
This map shows the geographic impact of Julia Dmitrieva'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 Dmitrieva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Dmitrieva more than expected).
Fields of papers citing papers by Julia Dmitrieva
This network shows the impact of papers produced by Julia Dmitrieva. 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 Dmitrieva. The network helps show where Julia Dmitrieva may publish in the future.
Co-authors
The 13 scholars most cited alongside Julia Dmitrieva, 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 | Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression Hit paper breakdown → | 2021 | 1270 |
| 2 | Fine-mapping inflammatory bowel disease loci to single-variant resolution Hit paper breakdown → | 2017 | 456 |
| 3 | 2018 | 171 | |
| 4 | 2018 | 114 | |
| 5 | 2020 | 109 | |
| 6 | 2019 | 43 | |
| 7 | 2018 | 26 | |
| 8 | 2012 | 10 | |
| 9 | 2008 | 1 |
About Julia Dmitrieva
Julia Dmitrieva is a scholar working on Immunology, Genetics, Molecular Biology, Gastroenterology and Endocrinology, having authored 9 papers that have together received 2.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Galectins and Cancer Biology (2 papers), Single-cell and spatial transcriptomics (1 paper), Biochemical and Structural Characterization (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper), Escherichia coli research studies (1 paper), Antimicrobial Peptides and Activities (1 paper) and Birth, Development, and Health (1 paper). The work is most often cited by research in Genetics (795 citations), Immunology (376 citations), Molecular Biology (788 citations), Immunology and Allergy (50 citations) and Biological Psychiatry (20 citations). Julia Dmitrieva has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Sergio Mauro, Philippe Thonart, Pascal Veys, Jean‐Claude Twizere, Micheline Vandenbol, Laurence Lins, Coralie Damon, István E. Markó, Daniel Portetelle and Frédéric Francis. Their work appears in journals such as Nature Genetics, Science Advances, Nature Communications, Nature and Plant Physiology and Biochemistry.
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.