Yulia Ivanova

6.1k total citations · 2 hit papers
5 papers, 3.2k citations indexed

About

Yulia Ivanova is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Yulia Ivanova has authored 5 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Immunology and 1 paper in Infectious Diseases. Recurrent topics in Yulia Ivanova's work include Viral gastroenteritis research and epidemiology (1 paper), Autophagy in Disease and Therapy (1 paper) and Single-cell and spatial transcriptomics (1 paper). Yulia Ivanova is often cited by papers focused on Viral gastroenteritis research and epidemiology (1 paper), Autophagy in Disease and Therapy (1 paper) and Single-cell and spatial transcriptomics (1 paper). Yulia Ivanova collaborates with scholars based in United States, China and Russia. Yulia Ivanova's 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 and has published in prestigious journals such as Science, Immunity and Nature Immunology.

In The Last Decade

Yulia Ivanova

5 papers receiving 3.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Network Integration of Parallel Metabolic and Transcriptional Data Reveals Metabolic Modules that Regulate Macrophage Polarization

2015 1.5k citations Abhishek Jha, Stanley Ching‐Cheng Huang et al. Immunity profile →
Cell-intrinsic lysosomal lipolysis is essential for alternative activation of macrophages

2014 897 citations Stanley Ching‐Cheng Huang, Bart Everts et al. Nature Immunology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yulia Ivanova United States	5	2.0k	1.2k	521	406	295	5	3.2k
Carl S. Goodyear United Kingdom	34	2.1k 1.1×	1.2k 1.0×	360 0.7×	241 0.6×	334 1.1×	110	4.2k
Dominic De Nardo Australia	26	1.9k 1.0×	2.1k 1.8×	430 0.8×	305 0.8×	344 1.2×	45	3.4k
Vicky Lampropoulou Germany	15	2.9k 1.4×	1.5k 1.3×	603 1.2×	422 1.0×	504 1.7×	18	4.5k
Laura M. Sly Canada	36	1.8k 0.9×	1.4k 1.2×	426 0.8×	282 0.7×	416 1.4×	63	3.5k
Sachiko Akashi‐Takamura Japan	26	2.1k 1.0×	1.9k 1.6×	475 0.9×	368 0.9×	189 0.6×	43	3.7k
Caroline E. Sutton Ireland	17	2.9k 1.4×	940 0.8×	569 1.1×	173 0.4×	264 0.9×	25	4.2k
Alexei V. Tumanov United States	34	2.5k 1.3×	1.1k 0.9×	363 0.7×	381 0.9×	220 0.7×	91	4.1k
Ivan Cruz Moura France	35	2.2k 1.1×	1.4k 1.2×	497 1.0×	154 0.4×	170 0.6×	60	4.8k
Ruaidhrí Jackson United States	20	1.7k 0.8×	1.8k 1.5×	304 0.6×	276 0.7×	227 0.8×	26	3.3k
Christelle Faveeuw France	36	2.2k 1.1×	817 0.7×	448 0.9×	180 0.4×	216 0.7×	73	3.6k

Countries citing papers authored by Yulia Ivanova

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Yulia Ivanova

This figure shows the co-authorship network connecting the top 25 collaborators of Yulia Ivanova. A scholar is included among the top collaborators of Yulia Ivanova based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yulia Ivanova. Yulia Ivanova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

1.

Jha, Abhishek, Stanley Ching‐Cheng Huang, Alexey Sergushichev, et al.. (2015). Network Integration of Parallel Metabolic and Transcriptional Data Reveals Metabolic Modules that Regulate Macrophage Polarization. Immunity. 42(3). 419–430. 1462 indexed citations breakdown →

2.

Baldridge, Megan T., Timothy J. Nice, Broc T. McCune, et al.. (2014). Commensal microbes and interferon-λ determine persistence of enteric murine norovirus infection. Science. 347(6219). 266–269. 324 indexed citations

3.

Huang, Stanley Ching‐Cheng, Bart Everts, Yulia Ivanova, et al.. (2014). Cell-intrinsic lysosomal lipolysis is essential for alternative activation of macrophages. Nature Immunology. 15(9). 846–855. 897 indexed citations breakdown →

4.

Sojka, Dorothy K., Béatrice Plougastel-Douglas, Liping Yang, et al.. (2014). Tissue-resident natural killer (NK) cells are cell lineages distinct from thymic and conventional splenic NK cells. eLife. 3. e01659–e01659. 447 indexed citations

5.

Lodeiro, Silvia, Quanbo Xiong, William K. Wilson, et al.. (2009). Protostadienol Biosynthesis and Metabolism in the Pathogenic Fungus Aspergillus fumigatus. Organic Letters. 11(6). 1241–1244. 48 indexed citations

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.

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