S. V. Antonenko

13.6k total citations · 5 hit papers
43 papers, 10.5k citations indexed

About

S. V. Antonenko is a scholar working on Immunology, Molecular Biology and Immunology and Allergy. According to data from OpenAlex, S. V. Antonenko has authored 43 papers receiving a total of 10.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 7 papers in Molecular Biology and 6 papers in Immunology and Allergy. Recurrent topics in S. V. Antonenko's work include Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (11 papers) and Immunotherapy and Immune Responses (10 papers). S. V. Antonenko is often cited by papers focused on Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (11 papers) and Immunotherapy and Immune Responses (10 papers). S. V. Antonenko collaborates with scholars based in United States, Russia and Ukraine. S. V. Antonenko's co-authors include Norimitsu Kadowaki, Yong-Jun Liu, Stephen Ho, Anne O’Garra, Matthieu Rouleau, Hervé Groux, Mike Bigler, J E de Vries, Maria Grazia Roncarolo and René de Waal Malefyt and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

S. V. Antonenko

37 papers receiving 10.2k citations

Hit Papers

A CD4+T-cell subset inhibits antigen-specific T-cell resp... 1997 2026 2006 2016 1997 1999 2002 2001 2000 500 1000 1.5k 2.0k 2.5k
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. A CD4+T-cell subset inhibits antigen-specific T-cell responses and prevents colitis
    1997 2.9k citations Hervé Groux, Anne O’Garra et al. Nature profile →
  2. The Nature of the Principal Type 1 Interferon-Producing Cells in Human Blood
    1999 1.8k citations Norimitsu Kadowaki, Stephen Ho et al. profile →
  3. Human epithelial cells trigger dendritic cell–mediated allergic inflammation by producing TSLP
    2002 1.7k citations Vassili Soumelis, Pedro A. Reche et al. Nature Immunology profile →
  4. Subsets of Human Dendritic Cell Precursors Express Different Toll-like Receptors and Respond to Different Microbial Antigens
    2001 1.6k citations Norimitsu Kadowaki, Stephen Ho et al. The Journal of Experimental Medicine profile →
  5. Natural Interferon α/β–Producing Cells Link Innate and Adaptive Immunity
    2000 691 citations Norimitsu Kadowaki, S. V. Antonenko et al. The Journal of Experimental Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. V. Antonenko United States 19 8.1k 1.4k 1.3k 1.2k 1.1k 43 10.5k
Jürgen Knop Germany 46 8.4k 1.0× 1.3k 0.9× 1.1k 0.9× 1.3k 1.0× 1.5k 1.4× 162 10.8k
Graham Le Gros New Zealand 48 6.2k 0.8× 659 0.5× 2.7k 2.2× 1.3k 1.1× 910 0.9× 154 9.5k
Hans Yssel France 60 8.8k 1.1× 873 0.6× 1.8k 1.4× 1.4k 1.1× 1.7k 1.6× 154 13.5k
Gianfranco Del Prete Italy 52 5.3k 0.7× 668 0.5× 1.4k 1.1× 944 0.8× 789 0.7× 112 9.6k
Jonathan R. Lamb United Kingdom 55 5.2k 0.6× 798 0.6× 1.9k 1.5× 2.0k 1.6× 2.2k 2.1× 233 10.2k
Roberto Lande Italy 33 5.2k 0.6× 890 0.6× 617 0.5× 329 0.3× 1.3k 1.3× 63 7.0k
Barbara Fazekas de St Groth Australia 45 9.5k 1.2× 419 0.3× 744 0.6× 456 0.4× 1.4k 1.3× 130 11.8k
Willi K. Born United States 53 8.5k 1.0× 529 0.4× 792 0.6× 307 0.2× 1.3k 1.2× 182 10.5k
Serge Lebecque France 59 15.0k 1.8× 887 0.6× 1.2k 0.9× 1.1k 0.9× 3.8k 3.6× 123 19.5k
Daniel Hanau France 44 4.1k 0.5× 676 0.5× 578 0.5× 814 0.7× 1.7k 1.6× 141 6.4k

Countries citing papers authored by S. V. Antonenko

Since Specialization
Citations

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

Fields of papers citing papers by S. V. Antonenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. V. Antonenko. 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 S. V. Antonenko. The network helps show where S. V. Antonenko may publish in the future.

Co-authorship network of co-authors of S. V. Antonenko

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

All Works

20 of 20 papers shown
1.
Efimova, Svetlana S., et al.. (2024). ENZYMATIC ACTIVITY OF SOILS IN A FLOODPLAIN ECOSYSTEM. 0(39). 7–15.
2.
Sugam, Jonathan A., et al.. (2022). PBPK-PD modeling for the preclinical development and clinical translation of tau antibodies for Alzheimer’s disease. Frontiers in Pharmacology. 13. 867457–867457. 13 indexed citations
3.
4.
Antonenko, S. V. & Г. Д. Телегеев. (2020). Inhibition of USP1, a new partner of Bcr-Abl, results in decrease of Bcr-Abl level in K562 cells. Experimental Oncology. 42(2). 109–114. 13 indexed citations
5.
Antonenko, S. V., et al.. (2016). Colocalization of USP1 and РН domain of Bcr-Abl oncoprotein in terms of chronic myeloid leukemia cell rearrangements. Cytology and Genetics. 50(5). 352–356. 8 indexed citations
6.
Yang, Xiaoyu, Fengqiang Wang, Ying Zhang, et al.. (2015). Comprehensive Analysis of the Therapeutic IgG4 Antibody Pembrolizumab: Hinge Modification Blocks Half Molecule Exchange In Vitro and In Vivo. Journal of Pharmaceutical Sciences. 104(12). 4002–4014. 26 indexed citations
7.
Joyce-Shaikh, Barbara, Cheng‐Chi Chao, Erin E. Murphy, et al.. (2010). Myeloid DAP12-associating lectin (MDL)-1 regulates synovial inflammation and bone erosion associated with autoimmune arthritis. The Journal of Experimental Medicine. 207(3). 579–589. 75 indexed citations
8.
Chen, Wei, S. V. Antonenko, Joel M. Sederstrom, et al.. (2003). Thrombopoietin cooperates with FLT3-ligand in the generation of plasmacytoid dendritic cell precursors from human hematopoietic progenitors. Blood. 103(7). 2547–2553. 91 indexed citations
9.
Gilliet, Michel, Vassili Soumelis, Norihiko Watanabe, et al.. (2003). Human Dendritic Cells Activated by TSLP and CD40L Induce Proallergic Cytotoxic T Cells. The Journal of Experimental Medicine. 197(8). 1059–1063. 126 indexed citations
10.
Gilliet, Michel, André Boonstra, Carine Paturel, et al.. (2002). The Development of Murine Plasmacytoid Dendritic Cell Precursors Is Differentially Regulated by FLT3-ligand and Granulocyte/Macrophage Colony-Stimulating Factor. The Journal of Experimental Medicine. 195(7). 953–958. 436 indexed citations
11.
Soumelis, Vassili, Pedro A. Reche, Holger Kanzler, et al.. (2002). Human epithelial cells trigger dendritic cell–mediated allergic inflammation by producing TSLP. Nature Immunology. 3(7). 673–680. 1717 indexed citations breakdown →
12.
Kadowaki, Norimitsu, S. V. Antonenko, & Yongjun Liu. (2001). Distinct CpG DNA and Polyinosinic-Polycytidylic Acid Double-Stranded RNA, Respectively, Stimulate CD11c− Type 2 Dendritic Cell Precursors and CD11c+ Dendritic Cells to Produce Type I IFN. The Journal of Immunology. 166(4). 2291–2295. 235 indexed citations
13.
Kadowaki, Norimitsu, Stephen Ho, S. V. Antonenko, et al.. (2001). Subsets of Human Dendritic Cell Precursors Express Different Toll-like Receptors and Respond to Different Microbial Antigens. The Journal of Experimental Medicine. 194(6). 863–870. 1580 indexed citations breakdown →
14.
Kadowaki, Norimitsu, S. V. Antonenko, Stephen Ho, et al.. (2001). Distinct Cytokine Profiles of Neonatal Natural Killer T Cells after Expansion with Subsets of Dendritic Cells. The Journal of Experimental Medicine. 193(10). 1221–1226. 129 indexed citations
15.
Carballido, José M., Reiko Namikawa, Nicole Carballido‐Perrig, et al.. (2000). Generation of primary antigen-specific human T- and B-cell responses in immunocompetent SCID-hu mice. Nature Medicine. 6(1). 103–106. 36 indexed citations
16.
Kadowaki, Norimitsu, S. V. Antonenko, Johnson Yiu‐Nam Lau, & Yong-Jun Liu. (2000). Natural Interferon α/β–Producing Cells Link Innate and Adaptive Immunity. The Journal of Experimental Medicine. 192(2). 219–226. 691 indexed citations breakdown →
17.
Groux, Hervé, Françoise Cottrez, Matthieu Rouleau, et al.. (1999). A Transgenic Model to Analyze the Immunoregulatory Role of IL-10 Secreted by Antigen-Presenting Cells. The Journal of Immunology. 162(3). 1723–1729. 214 indexed citations
18.
Groux, Hervé, Anne O’Garra, Mike Bigler, et al.. (1997). A CD4+T-cell subset inhibits antigen-specific T-cell responses and prevents colitis. Nature. 389(6652). 737–742. 2943 indexed citations breakdown →
19.
Antonenko, S. V., et al.. (1994). Production and characterization of cross-reactive monoclonal antibodies to sweet proteins. Life Sciences. 55(15). 1187–1192. 1 indexed citations
20.
Golovashkin, A. I., et al.. (1994). Upper critical field and resistive data of high-Tc films irradiated by He++ ions. Physica C Superconductivity. 235-240. 1355–1356. 2 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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