J. E. Kravchenko

1.8k total citations · 1 hit paper
17 papers, 1.5k citations indexed

About

J. E. Kravchenko is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, J. E. Kravchenko has authored 17 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Oncology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in J. E. Kravchenko's work include Cancer-related Molecular Pathways (5 papers), Cancer Research and Treatments (3 papers) and RNA modifications and cancer (3 papers). J. E. Kravchenko is often cited by papers focused on Cancer-related Molecular Pathways (5 papers), Cancer Research and Treatments (3 papers) and RNA modifications and cancer (3 papers). J. E. Kravchenko collaborates with scholars based in Russia, United States and India. J. E. Kravchenko's co-authors include Peter M. Chumakov, G. V. Ilyinskaya, Larissa S. Agapova, Anna Sablina, Andrei V. Budanov, Ivan Olovnikov, Д. В. Кочетков, Elena I. Frolova, Andrei V. Gudkov and Elena Feinstein and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

J. E. Kravchenko

17 papers receiving 1.5k citations

Hit Papers

The antioxidant function of the p53 tumor suppressor 2005 2026 2012 2019 2005 250 500 750
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. The antioxidant function of the p53 tumor suppressor
    2005 905 citations Anna Sablina, Andrei V. Budanov et al. Nature 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
J. E. Kravchenko Russia 10 1.0k 563 356 139 130 17 1.5k
G. V. Ilyinskaya Russia 8 865 0.8× 511 0.9× 294 0.8× 133 1.0× 106 0.8× 15 1.3k
A. Pieter J. van den Heuvel United States 13 967 0.9× 363 0.6× 335 0.9× 121 0.9× 159 1.2× 14 1.4k
Noa Rivlin Israel 14 982 0.9× 719 1.3× 459 1.3× 97 0.7× 87 0.7× 15 1.6k
Larissa S. Agapova Russia 15 1.2k 1.2× 608 1.1× 354 1.0× 154 1.1× 143 1.1× 24 1.7k
Rosa Puca Italy 20 837 0.8× 552 1.0× 392 1.1× 84 0.6× 66 0.5× 31 1.3k
Flore Kruiswijk United States 6 1.1k 1.1× 408 0.7× 651 1.8× 85 0.6× 112 0.9× 8 1.6k
Angelina V. Vaseva United States 16 1.4k 1.4× 605 1.1× 328 0.9× 85 0.6× 87 0.7× 25 1.9k
Daniel Speidel Germany 15 971 0.9× 630 1.1× 250 0.7× 119 0.9× 50 0.4× 18 1.4k
Francesca Grespi Italy 16 1.4k 1.3× 458 0.8× 383 1.1× 87 0.6× 99 0.8× 20 1.7k
Jing Fang China 12 1.1k 1.0× 588 1.0× 267 0.8× 103 0.7× 382 2.9× 17 1.5k

Countries citing papers authored by J. E. Kravchenko

Since Specialization
Citations

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

Fields of papers citing papers by J. E. Kravchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. E. Kravchenko. 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 J. E. Kravchenko. The network helps show where J. E. Kravchenko may publish in the future.

Co-authorship network of co-authors of J. E. Kravchenko

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

All Works

17 of 17 papers shown
1.
Kravchenko, J. E., et al.. (2023). Development of a Series of Neutralizing Nanobodies against SARS-CoV-2 Spike Protein. Молекулярная биология. 57(3). 505–516. 1 indexed citations
2.
Kravchenko, J. E., et al.. (2023). Development of a Series of Neutralizing Nanobodies against SARS-CoV-2 Spike Protein. Molecular Biology. 57(3). 502–511. 1 indexed citations
3.
Kravchenko, J. E., et al.. (2017). CD47 receptor as a primary target for cancer therapy. Molecular Biology. 51(2). 216–225. 12 indexed citations
4.
Kravchenko, J. E., et al.. (2016). Роль PDLIM4 и c-Src в развитии рака молочной железы. Молекулярная биология. 50(1). 69–79. 1 indexed citations
5.
Chumakov, Alexey M., et al.. (2016). Expanding the application potential of DNA aptamers by their functionalization. Russian Journal of Bioorganic Chemistry. 42(1). 1–13. 4 indexed citations
6.
Kravchenko, J. E., et al.. (2016). Role of PDLIM4 and c-Src in breast cancer progression. Molecular Biology. 50(1). 59–68. 3 indexed citations
7.
Schwartz, A. M., Subir Biswas, Д. В. Кочетков, et al.. (2015). p53-dependent expression of CXCR5 chemokine receptor in MCF-7 breast cancer cells. Scientific Reports. 5(1). 9330–9330. 44 indexed citations
8.
Дашинимаев, Э. Б., et al.. (2014). Generation of iPS Cells from Human Hair Follice Dermal Papilla Cells. Acta Naturae. 6(1). 45–53. 15 indexed citations
9.
Kravchenko, J. E., et al.. (2010). Efficient downregulation of multiple mRNA targets with a single shRNA-expressing lentiviral vector. Plasmid. 63(3). 143–149. 14 indexed citations
10.
Kravchenko, J. E., G. V. Ilyinskaya, Pavel G. Komarov, et al.. (2008). Small-molecule RETRA suppresses mutant p53-bearing cancer cells through a p73-dependent salvage pathway. Proceedings of the National Academy of Sciences. 105(17). 6302–6307. 160 indexed citations
11.
Olovnikov, Ivan, J. E. Kravchenko, & Peter M. Chumakov. (2008). Homeostatic functions of the p53 tumor suppressor: Regulation of energy metabolism and antioxidant defense. Seminars in Cancer Biology. 19(1). 32–41. 129 indexed citations
12.
Ilyinskaya, G. V., et al.. (2008). Lentiviral vector-based assay system for quantitative detection of intracellular translocations of recombinant proteins. Molecular Biology. 42(6). 894–900. 3 indexed citations
13.
Rokhlin, Oskar W., Agshin F. Taghiyev, Natalya V. Guseva, et al.. (2006). Androgen Regulates Apoptosis Induced by TNFR Family Ligands via Multiple Signaling Pathways in LNCaP. The Journal of Urology. 175(3). 1172–1173. 4 indexed citations
14.
Rokhlin, Oskar W., Agshin F. Taghiyev, Natalya V. Guseva, et al.. (2005). Androgen regulates apoptosis induced by TNFR family ligands via multiple signaling pathways in LNCaP. Oncogene. 24(45). 6773–6784. 67 indexed citations
15.
Sablina, Anna, Andrei V. Budanov, G. V. Ilyinskaya, et al.. (2005). The antioxidant function of the p53 tumor suppressor. Nature Medicine. 11(12). 1306–1313. 905 indexed citations breakdown →
16.
Kravchenko, J. E., Igor B. Rogozin, Eugene V. Koonin, & Peter M. Chumakov. (2005). Transcription of mammalian messenger RNAs by a nuclear RNA polymerase of mitochondrial origin. Nature. 436(7051). 735–739. 41 indexed citations
17.
Pugacheva, Elena N., Alexey V. Ivanov, J. E. Kravchenko, et al.. (2002). Novel gain of function activity of p53 mutants: activation of the dUTPase gene expression leading to resistance to 5-fluorouracil. Oncogene. 21(30). 4595–4600. 83 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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