Irene Chernova

4.3k total citations · 1 hit paper
14 papers, 1.0k citations indexed

About

Irene Chernova is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Irene Chernova has authored 14 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 4 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Irene Chernova's work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (3 papers). Irene Chernova is often cited by papers focused on Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (3 papers). Irene Chernova collaborates with scholars based in United States, Sweden and Netherlands. Irene Chernova's co-authors include Alexandra Bortnick, David Allman, Arlene H. Sharpe, José M. Casasnovas, Rosemarie H. DeKruyff, Haruo Nagumo, Dale T. Umetsu, Norimoto Kobayashi, Baogong Zhu and Piia Karisola and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Immunity.

In The Last Decade

Irene Chernova

14 papers receiving 1.0k citations

Hit Papers

TIM-1 and TIM-4 Glycoproteins Bind Phosphatidylserine and... 2007 2026 2013 2019 2007 100 200 300 400 500
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.

  1. TIM-1 and TIM-4 Glycoproteins Bind Phosphatidylserine and Mediate Uptake of Apoptotic Cells
    2007 523 citations Norimoto Kobayashi, Piia Karisola et al. Immunity profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Irene Chernova United States 10 780 237 134 94 72 14 1.0k
Vanessa Buatois Switzerland 16 463 0.6× 195 0.8× 146 1.1× 205 2.2× 64 0.9× 34 874
Benjamin D. Solomon United States 11 653 0.8× 382 1.6× 55 0.4× 172 1.8× 56 0.8× 21 1.1k
Raphaël Zollinger France 11 871 1.1× 171 0.7× 97 0.7× 261 2.8× 42 0.6× 12 1.3k
Alejandra Mendoza United States 10 860 1.1× 505 2.1× 93 0.7× 232 2.5× 43 0.6× 15 1.3k
William van der Touw United States 12 985 1.3× 243 1.0× 66 0.5× 230 2.4× 104 1.4× 25 1.3k
Nicolas Chamberlain United States 14 517 0.7× 137 0.6× 56 0.4× 58 0.6× 60 0.8× 19 848
С. В. Сенников Russia 17 556 0.7× 283 1.2× 127 0.9× 269 2.9× 34 0.5× 143 931
K. Seino Japan 18 512 0.7× 243 1.0× 56 0.4× 214 2.3× 102 1.4× 44 947
Jia Tay United States 6 508 0.7× 618 2.6× 72 0.5× 77 0.8× 45 0.6× 12 1.3k
Fengqi An United States 6 734 0.9× 102 0.4× 69 0.5× 64 0.7× 55 0.8× 9 895

Countries citing papers authored by Irene Chernova

Since Specialization
Citations

This map shows the geographic impact of Irene Chernova'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 Irene Chernova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irene Chernova more than expected).

Fields of papers citing papers by Irene Chernova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Irene Chernova. 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 Irene Chernova. The network helps show where Irene Chernova may publish in the future.

Co-authorship network of co-authors of Irene Chernova

This figure shows the co-authorship network connecting the top 25 collaborators of Irene Chernova. A scholar is included among the top collaborators of Irene Chernova 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 Irene Chernova. Irene Chernova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Chernova, Irene. (2024). Lupus Nephritis: Immune Cells and the Kidney Microenvironment. Kidney360. 5(9). 1394–1401. 3 indexed citations
2.
Chernova, Irene, Wenzhi Song, Holly R. Steach, et al.. (2023). The ion transporter Na + -K + -ATPase enables pathological B cell survival in the kidney microenvironment of lupus nephritis. Science Advances. 9(5). eadf8156–eadf8156. 4 indexed citations
3.
Song, Wenzhi, Daniel P. Mayer, Holly N. Blackburn, et al.. (2023). Cutting Edge: IL-21 and Tissue-Specific Signals Instruct Tbet+CD11c+ B Cell Development following Viral Infection. The Journal of Immunology. 210(12). 1861–1865. 9 indexed citations
4.
Song, Wenzhi, Olivia Q. Antao, Irene Chernova, et al.. (2022). Development of Tbet- and CD11c-expressing B cells in a viral infection requires T follicular helper cells outside of germinal centers. Immunity. 55(2). 290–307.e5. 80 indexed citations
5.
Song, Wenzhi, Olivia Q. Antao, Irene Chernova, et al.. (2021). Development of Tbet- and CD11c-Expressing B Cells in a Viral Infection Requires T Follicular Helper Cells Outside of Germinal Centers. SSRN Electronic Journal. 8 indexed citations
6.
Chernova, Irene, et al.. (2019). Resistant Hypertension Updated Guidelines. Current Cardiology Reports. 21(10). 117–117. 11 indexed citations
7.
Bortnick, Alexandra, Irene Chernova, Sean P. Spencer, & David Allman. (2018). No strict requirement for eosinophils for bone marrow plasma cell survival. European Journal of Immunology. 48(5). 815–821. 33 indexed citations
8.
Jones, Derek D., Brian T. Gaudette, Joel R. Wilmore, et al.. (2016). mTOR has distinct functions in generating versus sustaining humoral immunity. Journal of Clinical Investigation. 126(11). 4250–4261. 123 indexed citations
9.
Chernova, Irene, Derek D. Jones, Joel R. Wilmore, et al.. (2014). Lasting Antibody Responses Are Mediated by a Combination of Newly Formed and Established Bone Marrow Plasma Cells Drawn from Clonally Distinct Precursors. The Journal of Immunology. 193(10). 4971–4979. 48 indexed citations
10.
Bortnick, Alexandra, Irene Chernova, William J. Quinn, et al.. (2012). Long-Lived Bone Marrow Plasma Cells Are Induced Early in Response to T Cell-Independent or T Cell-Dependent Antigens. The Journal of Immunology. 188(11). 5389–5396. 90 indexed citations
11.
Chernova, Irene, Jianping Lai, Haiying Li, et al.. (2008). Substance P (SP) enhances CCL5-induced chemotaxis and intracellular signaling in human monocytes, which express the truncated neurokinin-1 receptor (NK1R). Journal of Leukocyte Biology. 85(1). 154–164. 59 indexed citations
12.
Kobayashi, Norimoto, Piia Karisola, Victor Peña‐Cruz, et al.. (2007). TIM-1 and TIM-4 Glycoproteins Bind Phosphatidylserine and Mediate Uptake of Apoptotic Cells. Immunity. 27(6). 927–940. 523 indexed citations breakdown →
13.
Appleman, Leonard J., Irene Chernova, Lequn Li, & Vassiliki A. Boussiotis. (2006). CD28 Costimulation Mediates Transcription of SKP2 and CKS1, the Substrate Recognition Components of SCFSkp2 Ubiquitin Ligase That Leads p27kip1 to Degradation. Cell Cycle. 5(18). 2123–2129. 26 indexed citations
14.
Appleman, Leonard J., Irene Chernova, Lequn Li, & Vassiliki A. Boussiotis. (2006). CD28 Costimulation Induces Transcription of SKP2 and CKS1, the Substrate Recognition Components of the Skp1-Cullin-F-box Ubiquitin Ligase, SCFSkp2.. Blood. 108(11). 869–869. 3 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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