Petr I. Nikitin

5.3k total citations
192 papers, 4.0k citations indexed

About

Petr I. Nikitin is a scholar working on Biomedical Engineering, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Petr I. Nikitin has authored 192 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Biomedical Engineering, 75 papers in Molecular Biology and 63 papers in Electrical and Electronic Engineering. Recurrent topics in Petr I. Nikitin's work include Advanced biosensing and bioanalysis techniques (39 papers), Nanoparticle-Based Drug Delivery (31 papers) and Biosensors and Analytical Detection (27 papers). Petr I. Nikitin is often cited by papers focused on Advanced biosensing and bioanalysis techniques (39 papers), Nanoparticle-Based Drug Delivery (31 papers) and Biosensors and Analytical Detection (27 papers). Petr I. Nikitin collaborates with scholars based in Russia, Ukraine and United States. Petr I. Nikitin's co-authors include Maxim P. Nikitin, Andrei V. Kabashin, А. В. Орлов, Sergey M. Deyev, Tatiana I. Ksenevich, Victoria O. Shipunova, Sergey L. Znoyko, M. V. Valeǐko, A.A. Beloglazov and Ivan V. Zelepukin and has published in prestigious journals such as Chemical Reviews, SHILAP Revista de lepidopterología and Physical review. B, Condensed matter.

In The Last Decade

Petr I. Nikitin

185 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Petr I. Nikitin Russia 37 2.3k 1.7k 891 659 567 192 4.0k
Claus Duschl Germany 35 1.8k 0.8× 1.4k 0.8× 975 1.1× 634 1.0× 941 1.7× 97 4.7k
Cees Otto Netherlands 40 1.6k 0.7× 2.5k 1.5× 410 0.5× 294 0.4× 618 1.1× 164 6.0k
Barbara J. Frisken Canada 30 1.2k 0.5× 1.3k 0.8× 970 1.1× 414 0.6× 810 1.4× 57 4.0k
Anne L. Plant United States 37 1.3k 0.6× 2.4k 1.4× 724 0.8× 458 0.7× 241 0.4× 108 4.5k
Mitsuru Uesaka Japan 28 1.6k 0.7× 970 0.6× 536 0.6× 1.5k 2.2× 405 0.7× 245 4.6k
Oscar Ces United Kingdom 42 2.2k 0.9× 3.4k 2.0× 568 0.6× 695 1.1× 779 1.4× 149 5.9k
Ichiro Yamashita Japan 46 1.8k 0.8× 3.8k 2.3× 1.3k 1.5× 1.0k 1.6× 1.7k 3.0× 347 7.4k
Laurie E. Locascio United States 37 4.1k 1.8× 868 0.5× 1.2k 1.4× 471 0.7× 517 0.9× 74 5.5k
Piotr Grodzinski United States 30 3.1k 1.3× 1.3k 0.8× 860 1.0× 1.4k 2.1× 653 1.2× 88 4.8k
Sebastian Wachsmann‐Hogiu United States 37 2.0k 0.8× 2.2k 1.3× 375 0.4× 334 0.5× 557 1.0× 113 4.9k

Countries citing papers authored by Petr I. Nikitin

Since Specialization
Citations

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

Fields of papers citing papers by Petr I. Nikitin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Petr I. Nikitin. 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 Petr I. Nikitin. The network helps show where Petr I. Nikitin may publish in the future.

Co-authorship network of co-authors of Petr I. Nikitin

This figure shows the co-authorship network connecting the top 25 collaborators of Petr I. Nikitin. A scholar is included among the top collaborators of Petr I. Nikitin 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 Petr I. Nikitin. Petr I. Nikitin 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.
Znoyko, Sergey L., et al.. (2024). Efficient Chlorostannate Modification of Magnetite Nanoparticles for Their Biofunctionalization. Materials. 17(2). 349–349. 1 indexed citations
2.
Орлов, А. В., et al.. (2024). Comparative Study of Field-Effect Transistors Based on Graphene Oxide and CVD Graphene in Highly Sensitive NT-proBNP Aptasensors. Biosensors. 14(5). 215–215. 8 indexed citations
3.
Gabashvili, Anna N., et al.. (2024). Internalization of transferrin-tagged Myxococcus xanthus encapsulins into mesenchymal stem cells. Experimental Biology and Medicine. 249. 10055–10055. 1 indexed citations
4.
Орлов, А. В., et al.. (2023). Femtomolar detection of the heart failure biomarker NT-proBNP in artificial saliva using an immersible liquid-gated aptasensor with reduced graphene oxide. Microchemical Journal. 196. 109611–109611. 11 indexed citations
5.
Gabashvili, Anna N., et al.. (2023). Magnetic and Fluorescent Dual-Labeled Genetically Encoded Targeted Nanoparticles for Malignant Glioma Cell Tracking and Drug Delivery. Pharmaceutics. 15(10). 2422–2422. 5 indexed citations
6.
Mochalova, Elizaveta N., E. A. Egorova, Victoria O. Shipunova, et al.. (2023). Comparative Study of Nanoparticle Blood Circulation after Forced Clearance of Own Erythrocytes (Mononuclear Phagocyte System-Cytoblockade) or Administration of Cytotoxic Doxorubicin- or Clodronate-Loaded Liposomes. International Journal of Molecular Sciences. 24(13). 10623–10623. 11 indexed citations
7.
8.
Орлов, А. В., et al.. (2023). Supersensitive Registration of Polyfunctional Magnetic Nanomaterials for the Rapid Detection of Molecular Markers of Diseases. Doklady Physics. 68(7). 214–218. 1 indexed citations
9.
10.
Shariatpanahi, Seyed Peyman, Hedayatollah Ghourchian, Benoı̂t Piro, et al.. (2020). Designing a magnetic inductive micro-electrode for virus monitoring: modelling and feasibility for hepatitis B virus. Microchimica Acta. 187(8). 463–463. 7 indexed citations
11.
12.
Nikitin, Maxim P., А. В. Орлов, Ilya L. Sokolov, et al.. (2018). Ultrasensitive detection enabled by nonlinear magnetization of nanomagnetic labels. Nanoscale. 10(24). 11642–11650. 49 indexed citations
13.
Shevchenko, Konstantin G., Vladimir K. Cherkasov, Andrey A. Tregubov, Petr I. Nikitin, & Maxim P. Nikitin. (2016). Surface plasmon resonance as a tool for investigation of non-covalent nanoparticle interactions in heterogeneous self-assembly & disassembly systems. Biosensors and Bioelectronics. 88. 3–8. 39 indexed citations
14.
Nikitin, Petr I., Tatiana I. Ksenevich, B. G. Gorshkov, et al.. (2010). Effect of the C-terminal domain peptide fragment (65–76) of monocytic chemotactic protein-1 (MCP-1) on the interaction between MCP-1 and heparin. Doklady Biological Sciences. 433(1). 289–292. 5 indexed citations
15.
Hartmann, Markus A., Petr I. Nikitin, & Michael Keusgen. (2006). Innovative analytical system for screening on lectins. Biosensors and Bioelectronics. 22(1). 28–34. 7 indexed citations
16.
Grigorenko, A. N., Petr I. Nikitin, & Andrei V. Kabashin. (1999). Phase jumps and interferometric surface plasmon resonance imaging. Applied Physics Letters. 75(25). 3917–3919. 125 indexed citations
17.
Nikitin, Petr I., et al.. (1996). Faraday effect in semimagnetic Cd 1 - x Fe x Te semiconductor. Semiconductors. 30(10). 959–961. 2 indexed citations
18.
Nikitin, Petr I., et al.. (1990). Stepped magnetic field dependence of Faraday effect in semimagnetic semiconductors. ZhETF Pisma Redaktsiiu. 52. 274. 2 indexed citations
19.
Конов, В. И., et al.. (1980). Probe investigations of electric fields produced in air near a laser spark. Journal of Experimental and Theoretical Physics. 51. 482. 4 indexed citations
20.
Ageev, V. P., В. И. Конов, T. M. Murina, et al.. (1979). Electric field of a plasma produced by optical breakdown in air. Journal of Experimental and Theoretical Physics. 49. 80. 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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