В. В. Гусельникова

718 total citations
43 papers, 499 citations indexed

About

В. В. Гусельникова is a scholar working on Molecular Biology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, В. В. Гусельникова has authored 43 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 10 papers in Immunology and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in В. В. Гусельникова's work include Alzheimer's disease research and treatments (7 papers), Biotin and Related Studies (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). В. В. Гусельникова is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Biotin and Related Studies (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). В. В. Гусельникова collaborates with scholars based in Russia, Czechia and Finland. В. В. Гусельникова's co-authors include D E Korzhevskiy, Д. Э. Коржевский, О. В. Кирик, Tarja Malm, Rashid Giniatullin, É. A. Fedorova, Raisa Giniatullina, Perttu J. Lindsberg, Г. Ф. Ситдикова and Ksenia Koroleva and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Immunology and Journal of Neuroscience Methods.

In The Last Decade

В. В. Гусельникова

36 papers receiving 494 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
В. В. Гусельникова Russia	7	188	121	108	94	72	43	499
Miriam Fernández Spain	16	310 1.6×	225 1.9×	98 0.9×	65 0.7×	67 0.9×	29	726
Cuihong Jia United States	18	213 1.1×	189 1.6×	79 0.7×	104 1.1×	26 0.4×	30	661
François‐Xavier Lejeune France	15	281 1.5×	175 1.4×	120 1.1×	72 0.8×	82 1.1×	48	678
О. В. Кирик Russia	11	166 0.9×	120 1.0×	204 1.9×	96 1.0×	77 1.1×	102	562
Xuelai Fan Canada	6	340 1.8×	128 1.1×	141 1.3×	112 1.2×	186 2.6×	7	726
Kazuya Kuboyama Japan	14	320 1.7×	171 1.4×	140 1.3×	69 0.7×	160 2.2×	24	702
Ammar Kutiyanawalla United States	12	221 1.2×	166 1.4×	82 0.8×	83 0.9×	56 0.8×	13	570
Ljubisav Rakić Serbia	16	206 1.1×	178 1.5×	101 0.9×	49 0.5×	109 1.5×	46	657
Zsuzsanna Szepesi Hungary	9	229 1.2×	230 1.9×	264 2.4×	70 0.7×	89 1.2×	9	659

Countries citing papers authored by В. В. Гусельникова

Since Specialization

Citations

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

Fields of papers citing papers by В. В. Гусельникова

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of В. В. Гусельникова

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Гусельникова, В. В., et al.. (2024). Detection of Tissue Macrophages in Different Organs Using Antibodies to the Microglial Marker Iba-1. Doklady Biochemistry and Biophysics. 519(1). 506–511. 2 indexed citations

Гусельникова, В. В., et al.. (2023). Detection of macrophages in human and rat heart using a single antibody variant. 160(2). 93–100. 1 indexed citations

Гусельникова, В. В., et al.. (2023). The application of alcian blue to identify astrocyte-associated amyloid plaques by using fluorescence and confocal microscopy. Journal of Neuroscience Methods. 387. 109797–109797. 1 indexed citations

Гусельникова, В. В., et al.. (2022). Transthyretin amyloid cardiomyopathy. Features of histological diagnosis: study design. Terapevticheskii arkhiv. 94(4). 473–478. 2 indexed citations

Коржевский, Д. Э., et al.. (2021). Changes in cytoplasmic and extracellular neuromelanin in human substantia nigra with normal aging. European Journal of Histochemistry. 65(s1). 16 indexed citations

Гусельникова, В. В., et al.. (2021). Thymic mast cells: From morphology to physiology. SHILAP Revista de lepidopterología. 2(1). 15–20. 2 indexed citations

Гусельникова, В. В., et al.. (2021). Thymic mast cells: at three-way crossroads. Immunologiya. 42(4). 327–336. 1 indexed citations

Коржевский, Д. Э., et al.. (2020). Immunohistochemical markers for neurobiology. Medical academic journal. 19(4). 7–24. 8 indexed citations

Гусельникова, В. В., et al.. (2020). A Novel Method for Amyloid Detection in Human Tissue Load Using a Fluorescent Dye — Congo Red Analogue. Sovremennye tehnologii v medicine. 12(1). 65–65. 1 indexed citations

10.

Гусельникова, В. В., et al.. (2020). Nucleophosmin, Coilin, and Argentophilic (AgNOR) Proteins in the Neurons of Human Substantia Nigra. Cell and Tissue Biology. 14(5). 380–387.

11.

Гусельникова, В. В., et al.. (2019). The Role of Myofibroblasts and Mast Cells in Oral Mucosa Repair After Fractional Laser Treatment. Journal of Anatomy and Histopathology. 8(1). 59–67. 1 indexed citations

12.

Koroleva, Ksenia, В. В. Гусельникова, Raisa Giniatullina, et al.. (2019). Meningeal Mast Cells Contribute to ATP-Induced Nociceptive Firing in Trigeminal Nerve Terminals: Direct and Indirect Purinergic Mechanisms Triggering Migraine Pain. Frontiers in Cellular Neuroscience. 13. 195–195. 35 indexed citations

13.

Гусельникова, В. В., et al.. (2018). Fluorescent characterization of amyloid deposits in the kidneys of mdx mice. European Journal of Histochemistry. 62(2). 2870–2870. 7 indexed citations

14.

Гусельникова, В. В., et al.. (2018). THE DISTRIBUTION OF THE NUCLEOPHOSMIN (B23) AND HISTONE H4K20me3 IN THE GRANULE CELLS OF THE RAT CEREBELLAR CORTEX. 60(8). 632–638.

15.

Гусельникова, В. В. & Д. Э. Коржевский. (2018). A Method of Enhanced Immunofluorescence by Amplification of the Immunoperoxidase Reaction. Neuroscience and Behavioral Physiology. 48(2). 153–156.

16.

Коржевский, Д. Э., et al.. (2017). The Spatial Organization of the Intranuclear Structures of Human Brain Dopaminergic Neurons. Acta Naturae. 9(3). 81–88. 5 indexed citations

17.

Гусельникова, В. В., et al.. (2015). Apoptosis level in developing T cells in the thymus. Doklady Biochemistry and Biophysics. 462(1). 163–165. 4 indexed citations

18.

Korzhevskiy, D E, et al.. (2015). [INTRANUCLEAR IRON DISTRIBUTION IN THE PURKINJE CELLS OF HUMAN CEREBELLUM].. PubMed. 148(4). 49–51. 1 indexed citations

19.

Гусельникова, В. В., et al.. (2014). Динамика морфологических изменений в тимусе мыши после иммунизации. Pacific Medical Journal. 1 indexed citations

20.

Гусельникова, В. В., et al.. (2014). [Method for simultaneous visualization of mast cells and nerve terminals in the rodent thymus].. PubMed. 145(2). 70–3. 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.

Explore authors with similar magnitude of impact