Mikhail Ivanov

660 total citations
65 papers, 468 citations indexed

About

Mikhail Ivanov is a scholar working on Molecular Biology, Aerospace Engineering and Cancer Research. According to data from OpenAlex, Mikhail Ivanov has authored 65 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Aerospace Engineering and 10 papers in Cancer Research. Recurrent topics in Mikhail Ivanov's work include MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (8 papers) and Molecular Biology Techniques and Applications (7 papers). Mikhail Ivanov is often cited by papers focused on MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (8 papers) and Molecular Biology Techniques and Applications (7 papers). Mikhail Ivanov collaborates with scholars based in Russia, United States and United Kingdom. Mikhail Ivanov's co-authors include С. Е. Титов, N. N. Kolesnikov, Anastasia Malek, П. С. Деменков, Nina V. Tikunova, R. B. Samsonov, Tatiana Shtam, Hava Gil-Henn, Vladimir Burdakov and D. Vasilyev and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Mikhail Ivanov

55 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mikhail Ivanov Russia 12 186 152 97 74 71 65 468
Li Zq China 14 87 0.5× 20 0.1× 90 0.9× 7 0.1× 99 1.4× 38 523
Claudia Zannetti France 10 157 0.8× 85 0.6× 5 0.1× 19 0.3× 49 0.7× 14 727
Umberto Miglio Italy 17 104 0.6× 106 0.7× 2 0.0× 29 0.4× 140 2.0× 29 610
Sivan Bercovici United States 13 174 0.9× 66 0.4× 12 0.1× 29 0.4× 110 1.5× 35 562
Norbert Böhm Germany 8 137 0.7× 26 0.2× 8 0.1× 89 1.2× 69 1.0× 17 475
Daniel F. Rosberger United States 10 113 0.6× 16 0.1× 25 0.3× 116 1.6× 18 0.3× 17 467
Jonathan Snyder United States 12 474 2.5× 59 0.4× 10 0.1× 15 0.2× 285 4.0× 25 950
Ann Thompson Australia 8 38 0.2× 11 0.1× 71 0.7× 22 0.3× 134 1.9× 9 448
S.J. Hatfill South Africa 11 95 0.5× 8 0.1× 29 0.3× 6 0.1× 124 1.7× 12 392
Giovanni Pietro Burrai Italy 14 154 0.8× 36 0.2× 10 0.1× 15 0.2× 13 0.2× 46 546

Countries citing papers authored by Mikhail Ivanov

Since Specialization
Citations

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

Fields of papers citing papers by Mikhail Ivanov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikhail Ivanov

This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Ivanov. A scholar is included among the top collaborators of Mikhail Ivanov 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 Mikhail Ivanov. Mikhail Ivanov 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.
Титов, С. Е., et al.. (2024). Multiple Myeloma: Genetic and Epigenetic Biomarkers with Clinical Potential. International Journal of Molecular Sciences. 25(24). 13404–13404.
2.
Wu, Bo, Wei Rao, Zezhou Sun, et al.. (2024). A probable ancient nearshore zone in southern Utopia on Mars unveiled from observations at the Zhurong landing area. Scientific Reports. 14(1). 24389–24389. 2 indexed citations
3.
Титов, С. Е., et al.. (2022). Selection of reference genes for quantitative analysis of microRNA expression in three different types of cancer. PLoS ONE. 17(2). e0254304–e0254304. 7 indexed citations
4.
Ivanov, Mikhail, et al.. (2021). Detection of Cervical Lesions and Cancer in Air-Dried Cytologic Smears by Combined Analysis of mRNA and miRNA Expression Levels. Journal of Molecular Diagnostics. 23(5). 541–554. 8 indexed citations
5.
6.
Zasova, L., T. K. P. Gregg, Natan Eismont, et al.. (2019). Venera-D: expanding our horizon of terrestrial planet climate and geology through the comprehensive exploration of Venus. 2019. 7 indexed citations
7.
Gregg, T. K. P., L. Zasova, Natan Eismont, et al.. (2019). Venera-D: A Potential Long-Lived Mission to Explore Venus' Surface, Atmosphere, and Plasma Environment. LPI. 1738. 1 indexed citations
9.
Zasova, L., Natan Eismont, L. W. Esposito, et al.. (2017). Joint IKI/ROSCOSMOS - NASA Science Definition Team and concept mission to Venus based on Venera-D. EPSC. 2 indexed citations
10.
Malek, Anastasia, et al.. (2017). IMPROVEMENT OF CERVICAL CANCER SCREENING USING DETERMINATION OF MICRORNA IN CYTOLOGICAL PREPARATIONS. Voprosy Onkologii. 63(6). 855–861.
11.
12.
Samsonov, R. B., Tatiana Shtam, Mikhail Ivanov, et al.. (2017). EVALUATION OF EXPRESSION OF 4 MIRNAS IN CYTOLOGICAL SAMPLES AS AN ADDITIONAL METHOD OF CERVICAL CANCER DIAGNOSIS. Tumors of female reproductive system. 13(3). 63–72. 3 indexed citations
13.
Samsonov, R. B., Vladimir Burdakov, Tatiana Shtam, et al.. (2017). ANALYSIS OF A MIRNA SET (MIR-21, -181A, AND -146A) AS A METHOD OF DIFFERENTIAL DIAGNOSIS OF THYROID NODULES. Head and neck tumors (HNT). 7(2). 16–24. 1 indexed citations
14.
Senske, D. A., L. V. Zasova, Natan Eismont, et al.. (2016). The Venera-D Mission Concept: Evaluation by a Joint Science Definition Team of a Means for the Comprehensive Scientific Exploration of Venus. AGUFM. 1 indexed citations
15.
Samsonov, R. B., Vladimir Burdakov, Tatiana Shtam, et al.. (2016). Plasma exosomal miR-21 and miR-181a differentiates follicular from papillary thyroid cancer. Tumor Biology. 37(9). 12011–12021. 95 indexed citations
16.
Рар, В. А., Tamara Epikhina, Н. П. Высочина, et al.. (2016). Genetic variability of Rickettsia spp. in Ixodes persulcatus ticks from continental and island areas of the Russian Far East. Ticks and Tick-borne Diseases. 7(6). 1284–1289. 16 indexed citations
17.
Рар, В. А., et al.. (2014). [DNA detection of pathogens transmitted by Ixodid ticks in blood of small mammals inhabiting the forest biotopes in Middle Irtysh Area (Omsk Region, West Siberia)].. PubMed. 48(1). 37–53. 3 indexed citations
18.
Ivanov, Mikhail, et al.. (2014). Filaggrin Mutations in a Western Siberian Population and Their Association with Atopic Dermatitis in Children. Genetic Testing and Molecular Biomarkers. 18(12). 791–796. 9 indexed citations
19.
20.
Ivanov, Mikhail, N. H. Kenyon, M. C. Comas, et al.. (2003). Review of the principal results of the TTR-12 Cruise. Flanders Marine Institute (Flanders Marine Institute). 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026