P. A. Gusev

1.2k total citations
46 papers, 895 citations indexed

About

P. A. Gusev is a scholar working on Aerospace Engineering, Cellular and Molecular Neuroscience and Mechanics of Materials. According to data from OpenAlex, P. A. Gusev has authored 46 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Aerospace Engineering, 14 papers in Cellular and Molecular Neuroscience and 12 papers in Mechanics of Materials. Recurrent topics in P. A. Gusev's work include Combustion and Detonation Processes (17 papers), Neuroscience and Neuropharmacology Research (14 papers) and Energetic Materials and Combustion (12 papers). P. A. Gusev is often cited by papers focused on Combustion and Detonation Processes (17 papers), Neuroscience and Neuropharmacology Research (14 papers) and Energetic Materials and Combustion (12 papers). P. A. Gusev collaborates with scholars based in Russia, United States and Tajikistan. P. A. Gusev's co-authors include Daniel L. Alkon, Bernard G. Schreurs, Daniel Tomsic, Ting Shi, Stefano Govoni, Alessia Pascale, Marialaura Amadio, Alessandro Quattrone, Tania Dottorini and Alexander N. Gubin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

P. A. Gusev

44 papers receiving 875 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. A. Gusev Russia 17 364 272 205 142 123 46 895
JodiAnne T. Wood United States 23 555 1.5× 435 1.6× 173 0.8× 16 0.1× 72 0.6× 56 1.6k
William D. Willis United States 10 324 0.9× 168 0.6× 171 0.8× 81 0.6× 20 0.2× 15 879
Ru‐Yin Tsai Taiwan 18 301 0.8× 361 1.3× 32 0.2× 119 0.8× 17 0.1× 49 955
Munekazu Komada Japan 17 225 0.6× 495 1.8× 103 0.5× 101 0.7× 15 0.1× 39 1.3k
Chih-Chang Chao Taiwan 16 237 0.7× 206 0.8× 54 0.3× 88 0.6× 7 0.1× 26 828
C. E. Hall United States 13 308 0.8× 223 0.8× 75 0.4× 45 0.3× 6 0.0× 61 827
Chan‐Woong Park South Korea 18 105 0.3× 201 0.7× 100 0.5× 28 0.2× 36 0.3× 45 790
Shujun Xu China 23 193 0.5× 359 1.3× 40 0.2× 133 0.9× 1 0.0× 79 1.3k
Obin Kwon South Korea 19 103 0.3× 238 0.9× 44 0.2× 61 0.4× 23 0.2× 46 1.1k
Zhengbo Wang China 18 127 0.3× 402 1.5× 70 0.3× 135 1.0× 1 0.0× 72 954

Countries citing papers authored by P. A. Gusev

Since Specialization
Citations

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

Fields of papers citing papers by P. A. Gusev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. A. Gusev. 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 P. A. Gusev. The network helps show where P. A. Gusev may publish in the future.

Co-authorship network of co-authors of P. A. Gusev

This figure shows the co-authorship network connecting the top 25 collaborators of P. A. Gusev. A scholar is included among the top collaborators of P. A. Gusev 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 P. A. Gusev. P. A. Gusev 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
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2.
Шамшин, И. О., et al.. (2023). Fast Deflagration-to-Detonation Transition in Helical Tubes. Processes. 11(6). 1719–1719. 3 indexed citations
3.
Шамшин, И. О., et al.. (2023). Deflagration-to-Detonation Transition in a Semi-Confined Slit Combustor Filled with Nitrogen Diluted Ethylene-Oxygen Mixture. Energies. 16(3). 1098–1098. 2 indexed citations
4.
Pehrsson, Pamela, Janet M. Roseland, Kristine Y. Patterson, et al.. (2022). Iodine in foods and dietary supplements: A collaborative database developed by NIH, FDA and USDA. Journal of Food Composition and Analysis. 109. 104369–104369. 16 indexed citations
5.
Durazzo, Alessandra, Barbara C. Sorkin, Massimo Lucarini, et al.. (2022). Analytical Challenges and Metrological Approaches to Ensuring Dietary Supplement Quality: International Perspectives. Frontiers in Pharmacology. 12. 714434–714434. 24 indexed citations
6.
Dwyer, Johanna, Leila Saldanha, Jaime Gahche, et al.. (2021). Do Multivitamin/Mineral Dietary Supplements for Young Children Fill Critical Nutrient Gaps?. Journal of the Academy of Nutrition and Dietetics. 122(3). 525–532. 5 indexed citations
7.
Frolov, S.M., et al.. (2019). ROCKET ENGINE WITH CONTINUOUSLY ROTATING LIQUID-FILM DETONATION. 397–412. 3 indexed citations
8.
Betz, Joseph M., Catherine A. Rimmer, Leila Saldanha, et al.. (2018). Challenges in Developing Analytically Validated Laboratory-Derived Dietary Supplement Databases. Journal of Nutrition. 148(suppl_2). 1406S–1412S. 10 indexed citations
9.
Andrews, Karen, P. A. Gusev, Pamela Pehrsson, et al.. (2018). Dietary Supplement Ingredient Database (DSID) and the Application of Analytically Based Estimates of Ingredient Amount to Intake Calculations. Journal of Nutrition. 148(suppl_2). 1413S–1421S. 28 indexed citations
10.
11.
Andrews, Karen, Janet M. Roseland, P. A. Gusev, et al.. (2016). Analytical ingredient content and variability of adult multivitamin/mineral products: national estimates for the Dietary Supplement Ingredient Database ,. American Journal of Clinical Nutrition. 105(2). 526–539. 54 indexed citations
12.
Фролов, С. М., et al.. (2014). Experimental proof of the energy efficiency of the Zel’dovich thermodynamic cycle. Doklady Physical Chemistry. 459(2). 207–211. 22 indexed citations
13.
Gusev, P. A. & Alexander N. Gubin. (2010). Recent and remote memory recalls modulate different sets of stereotypical interlaminar correlations in Arc/Arg3.1 mRNA expression in cortical areas. Brain Research. 1352. 118–139. 4 indexed citations
14.
Gusev, P. A.. (2010). Arc/Arg3.1 mRNA global expression patterns elicited by memory recall in cerebral cortex differ for remote versus recent spatial memories. Frontiers in Integrative Neuroscience. 4. 15–15. 20 indexed citations
15.
Gusev, P. A., Changhai Cui, Daniel L. Alkon, & Alexander N. Gubin. (2005). Topography of Arc/Arg3.1 mRNA Expression in the Dorsal and Ventral Hippocampus Induced by Recent and Remote Spatial Memory Recall: Dissociation of CA3 and CA1 Activation. Journal of Neuroscience. 25(41). 9384–9397. 71 indexed citations
16.
Ascoli, Giorgio A., John Olds, Thomas J. Nelson, et al.. (1997). Secondary Structure and Ca2+-induced Conformational Change of Calexcitin, a Learning-associated Protein. Journal of Biological Chemistry. 272(40). 24771–24779. 27 indexed citations
17.
Gusev, P. A., et al.. (1997). NMDA receptors and associative-type ultrastructural synaptic plasticity in the rat neocortex. Neuroscience and Behavioral Physiology. 27(4). 391–393. 2 indexed citations
18.
Gusev, P. A.. (1995). Dynamics of the reactivity of cortical neurons to the repeating isolated action of L-glutamate and acetylcholine. Neuroscience and Behavioral Physiology. 25(1). 25–32. 2 indexed citations
19.
20.
Gusev, P. A., et al.. (1976). Effect of formation conditions on the motion of a cloud rising upward under the action of the force of buoyancy. Fluid Dynamics. 11(5). 770–772. 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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