Krasil'nikov Ma

1.4k citations
60 papers · 1.2k indexed · h-index 16

Impact in

    • MicroRNA in disease regulation
  • Oncology top 10%
    • Cytokine Signaling Pathways and Interactions
    • Cancer-related Molecular Pathways

Papers in

Krasil'nikov Ma

55 papers receiving 1.2k citations

Peers

Krasil'nikov Ma
Comparison fields: 5 of 87
  • Cancer Research 288
  • Oncology 419
  • Molecular Biology 851
  • Toxicology 37
  • Immunology 160
Replace Eiji Iwado with:
Eiji Iwado United States
Arifumi Iwamaru Japan
Cecilia J. Proietti Argentina
Subbulakshmi Virudachalam United States
Joan Lewis-Wambi United States
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Masahito Hanada Japan
M.A. Christine Pratt Canada
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Citations per field
00.5×2.9×
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Citations per year

Countries citing papers authored by Krasil'nikov Ma

Since Specialization
Citations

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

Fields of papers citing papers by Krasil'nikov Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Krasil'nikov Ma. 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 Krasil'nikov Ma. The network helps show where Krasil'nikov Ma may publish in the future.

Co-authors

The 25 scholars most cited alongside Krasil'nikov Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Krasil'nikov Ma Line = papers co-authored together Krasil'nikov Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20230
3 20230
4 20202
5 20200
6 20191
7 20181
8 20172
9 20164
10 20162
11 20151
12 20151
13 201246
14 200914
15 200814
16 200713
17 200281
18 199914
19 19936
20 199212

About Krasil'nikov Ma

Krasil'nikov Ma is a scholar working on Cancer Research, Toxicology, Oncology, Genetics and Molecular Biology, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (17 papers), PI3K/AKT/mTOR signaling in cancer (14 papers), MicroRNA in disease regulation (8 papers), Cytokine Signaling Pathways and Interactions (8 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Extracellular vesicles in disease (7 papers), Retinoids in leukemia and cellular processes (6 papers) and Cancer Cells and Metastasis (5 papers). The work is most often cited by research in Cancer Research (288 citations), Oncology (419 citations), Molecular Biology (851 citations), Toxicology (37 citations) and Immunology (160 citations). Krasil'nikov Ma has collaborated with scholars based in Russia, United States and United Kingdom. Frequent co-authors include Ze’ev A. Ronai, Vladimir N. Ivanov, Alexander M. Scherbakov, Curt M. Horvath, David T. Levy, Regina Raz, Laurie B. Owen‐Schaub, Anindita Bhoumik, Е. С. Герштейн and Svetlana E. Semina. Their work appears in journals such as Molecules, Annals of Oncology, The Journal of Steroid Biochemistry and Molecular Biology, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and Cancer.

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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