Anna Kuchmiy

1.0k total citations
21 papers, 624 citations indexed

About

Anna Kuchmiy is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Anna Kuchmiy has authored 21 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 11 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Anna Kuchmiy's work include Immunotherapy and Immune Responses (5 papers), Immune Response and Inflammation (5 papers) and T-cell and B-cell Immunology (5 papers). Anna Kuchmiy is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), Immune Response and Inflammation (5 papers) and T-cell and B-cell Immunology (5 papers). Anna Kuchmiy collaborates with scholars based in Russia, Belgium and Germany. Anna Kuchmiy's co-authors include Mohamed Lamkanfi, Sergei A. Nedospasov, Andrey Kruglov, Dmitry V. Kuprash, Mohamed Lamkanfi, Thirumala‐Devi Kanneganti, Dieter Demon, Sergei I. Grivennikov, Sharen Provoost and Ken R. Bracke and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Anna Kuchmiy

21 papers receiving 610 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Kuchmiy Russia 13 333 311 69 61 54 21 624
Juliana E. Toller-Kawahisa Brazil 11 268 0.8× 280 0.9× 63 0.9× 51 0.8× 41 0.8× 16 591
Honorio Torres‐Aguilar Mexico 15 157 0.5× 424 1.4× 57 0.8× 84 1.4× 49 0.9× 41 717
Tong Xu China 13 253 0.8× 146 0.5× 101 1.5× 40 0.7× 57 1.1× 25 543
Andrew Cross United Kingdom 12 334 1.0× 494 1.6× 73 1.1× 148 2.4× 35 0.6× 22 824
Michaela Golić Germany 14 164 0.5× 315 1.0× 37 0.5× 118 1.9× 50 0.9× 31 711
R Chen China 5 233 0.7× 259 0.8× 56 0.8× 71 1.2× 46 0.9× 8 557
Difeng Fang United States 13 310 0.9× 449 1.4× 94 1.4× 102 1.7× 71 1.3× 21 765
Kaibo Duan Singapore 10 205 0.6× 511 1.6× 98 1.4× 93 1.5× 41 0.8× 16 749
Sohel Shamsuzzaman United States 9 286 0.9× 224 0.7× 57 0.8× 20 0.3× 58 1.1× 12 576
Dhiren F. Patel United Kingdom 10 199 0.6× 422 1.4× 48 0.7× 72 1.2× 60 1.1× 12 734

Countries citing papers authored by Anna Kuchmiy

Since Specialization
Citations

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

Fields of papers citing papers by Anna Kuchmiy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Kuchmiy

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Kuchmiy. A scholar is included among the top collaborators of Anna Kuchmiy 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 Anna Kuchmiy. Anna Kuchmiy 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.
Chen, Yong, Julie Deckers, Ruben De Coen, et al.. (2024). Combinatorial Screening of Biscarbamate Ionizable Lipids Identifies a Low Reactogenicity Lipid for Lipid Nanoparticle mRNA Delivery. Advanced Functional Materials. 34(21). 20 indexed citations
2.
Roels, Juliette, Marieke Lavaert, Anna Kuchmiy, et al.. (2022). Transcriptional dynamics and epigenetic regulation of E and ID protein encoding genes during human T cell development. Frontiers in Immunology. 13. 960918–960918. 10 indexed citations
3.
Roels, Juliette, Anna Kuchmiy, Marieke Lavaert, et al.. (2020). Distinct and temporary-restricted epigenetic mechanisms regulate human αβ and γδ T cell development. Nature Immunology. 21(10). 1280–1292. 44 indexed citations
4.
Jaksik, Roman, Łukasz Sędek, Anna Kuchmiy, et al.. (2020). hsa-miR-20b-5p and hsa-miR-363-3p Affect Expression of PTEN and BIM Tumor Suppressor Genes and Modulate Survival of T-ALL Cells In Vitro. Cells. 9(5). 1137–1137. 27 indexed citations
5.
Kuchmiy, Anna, et al.. (2019). Modification of Cytotoxic Lymphocytes with T Cell Receptor Specific for Minor Histocompatibility Antigen ACC-1Y. Molecular Biology. 53(3). 402–410. 4 indexed citations
6.
Su, Hexiu, Liang Huang, Yang Yang, et al.. (2018). SHQ1 regulation of RNA splicing is required for T-lymphoblastic leukemia cell survival. Nature Communications. 9(1). 4281–4281. 24 indexed citations
7.
Atretkhany, Kamar‐Sulu N., Ilgiz A. Mufazalov, Josefine Dunst, et al.. (2018). Intrinsic TNFR2 signaling in T regulatory cells provides protection in CNS autoimmunity. Proceedings of the National Academy of Sciences. 115(51). 13051–13056. 77 indexed citations
8.
Kuchmiy, Anna, et al.. (2016). NLRP2 controls age-associated maternal fertility. The Journal of Experimental Medicine. 213(13). 2851–2860. 35 indexed citations
9.
Kuchmiy, Anna, et al.. (2016). Inactivation of inflammasomes by pathogens regulates inflammation. Biochemistry (Moscow). 81(11). 1326–1339. 12 indexed citations
10.
Kuchmiy, Anna, et al.. (2014). Experimental Applications of TNF-Reporter Mice with Far-Red Fluorescent Label. Methods in molecular biology. 1155. 151–162. 5 indexed citations
12.
Brusselle, Guy, Sharen Provoost, Ken R. Bracke, Anna Kuchmiy, & Mohamed Lamkanfi. (2014). Inflammasomes in Respiratory Disease. CHEST Journal. 145(5). 1121–1133. 69 indexed citations
13.
Demon, Dieter, et al.. (2014). Caspase-11 is expressed in the colonic mucosa and protects against dextran sodium sulfate-induced colitis. Mucosal Immunology. 7(6). 1480–1491. 96 indexed citations
14.
Gorp, Hanne Van, Anna Kuchmiy, Filip Van Hauwermeiren, & Mohamed Lamkanfi. (2014). NOD‐like receptors interfacing the immune and reproductive systems. FEBS Journal. 281(20). 4568–4582. 56 indexed citations
15.
Horn, Katharina, et al.. (2013). Dynamic changes in chromatin conformation at theTNFtranscription start site inThelper lymphocyte subsets. European Journal of Immunology. 44(1). 251–264. 8 indexed citations
16.
Shkoporov, Andrey N., Ekaterina V. Khokhlova, Elena V. Kulagina, et al.. (2012). Analysis of a novel 8.9kb cryptic plasmid from Bacteroides uniformis, its long-term stability and spread within human microbiota. Plasmid. 69(2). 146–159. 5 indexed citations
17.
Kuchmiy, Anna, Grigory A. Efimov, & С А Недоспасов. (2012). Methods for in vivo molecular imaging. Biochemistry (Moscow). 77(12). 1339–1353. 15 indexed citations
18.
Kruglov, Andrey, Alexei V. Tumanov, Sergei I. Grivennikov, et al.. (2010). Modalities of Experimental TNF Blockade In Vivo: Mouse Models. Advances in experimental medicine and biology. 691. 421–431. 11 indexed citations
19.
Liepinsh, Dmitry J., Andrey Kruglov, Alexander N. Shakhov, et al.. (2009). Accelerated thymic atrophy as a result of elevated homeostatic expression of the genes encoded by the TNF/lymphotoxin cytokine locus. European Journal of Immunology. 39(10). 2906–2915. 28 indexed citations
20.
Kruglov, Andrey, Anna Kuchmiy, Sergei I. Grivennikov, et al.. (2008). Physiological functions of tumor necrosis factor and the consequences of its pathologic overexpression or blockade: Mouse models. Cytokine & Growth Factor Reviews. 19(3-4). 231–244. 61 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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