А. С. Головкин

1.8k total citations
124 papers, 1.3k citations indexed

About

А. С. Головкин is a scholar working on Molecular Biology, Biomaterials and Biomedical Engineering. According to data from OpenAlex, А. С. Головкин has authored 124 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 29 papers in Biomaterials and 26 papers in Biomedical Engineering. Recurrent topics in А. С. Головкин's work include Electrospun Nanofibers in Biomedical Applications (22 papers), Bone Tissue Engineering Materials (16 papers) and Extracellular vesicles in disease (12 papers). А. С. Головкин is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (22 papers), Bone Tissue Engineering Materials (16 papers) and Extracellular vesicles in disease (12 papers). А. С. Головкин collaborates with scholars based in Russia, United Kingdom and Australia. А. С. Головкин's co-authors include Evgeny Bolbasov, Olga Kalinina, Anna Kostareva, Igor Kudryavtsev, Yury А. Skorik, Anna Malashicheva, I. V. Kudryavtsev, Sergei I. Tverdokhlebov, А. В. Понасенко and Anton G. Kutikhin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Scientific Reports.

In The Last Decade

А. С. Головкин

106 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
А. С. Головкин Russia 22 319 276 269 186 175 124 1.3k
Natalia García‐Giralt Spain 26 226 0.7× 359 1.3× 532 2.0× 364 2.0× 64 0.4× 106 2.1k
Stefanie Krajewski Germany 20 209 0.7× 225 0.8× 291 1.1× 219 1.2× 70 0.4× 63 1.1k
Miho Maeda Japan 26 177 0.6× 206 0.7× 515 1.9× 216 1.2× 262 1.5× 115 2.1k
Yi Xiang China 25 354 1.1× 413 1.5× 602 2.2× 244 1.3× 251 1.4× 59 2.0k
Jaan Hong Sweden 21 361 1.1× 437 1.6× 157 0.6× 306 1.6× 219 1.3× 37 1.5k
Wu Zhou China 27 443 1.4× 375 1.4× 966 3.6× 499 2.7× 143 0.8× 72 2.7k
Marcus Alexandre Finzi Corat Brazil 17 161 0.5× 300 1.1× 209 0.8× 132 0.7× 84 0.5× 32 960
Francesca Salamanna Italy 27 149 0.5× 568 2.1× 442 1.6× 645 3.5× 79 0.5× 107 2.3k
Yasuhiro Kanatani Japan 24 500 1.6× 169 0.6× 490 1.8× 367 2.0× 127 0.7× 79 1.9k
Chia‐Jung Wu Taiwan 25 583 1.8× 735 2.7× 588 2.2× 179 1.0× 128 0.7× 66 2.2k

Countries citing papers authored by А. С. Головкин

Since Specialization
Citations

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

Fields of papers citing papers by А. С. Головкин

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by А. С. Головкин. 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 А. С. Головкин. The network helps show where А. С. Головкин may publish in the future.

Co-authorship network of co-authors of А. С. Головкин

This figure shows the co-authorship network connecting the top 25 collaborators of А. С. Головкин. A scholar is included among the top collaborators of А. С. Головкин 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 А. С. Головкин. А. С. Головкин 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.
Rubinstein, Artem, et al.. (2025). Inflammasome — a new look at the therapy of cardiovascular diseases. Part II. Russian Journal of Cardiology. 30(6S). 6058–6058.
2.
Kudryavtsev, Igor, et al.. (2024). Deep Immunophenotyping of Circulating T and B Cells in Relapsing Adult-Onset Still’s Disease. Current Issues in Molecular Biology. 46(2). 1177–1191. 1 indexed citations
3.
4.
Гофман, И. В., Д. Г. Чухчин, A. V. Mal’kov, et al.. (2022). Biophysical Characterization and Cytocompatibility of Cellulose Cryogels Reinforced with Chitin Nanowhiskers. Polymers. 14(13). 2694–2694. 10 indexed citations
5.
Головкин, А. С., et al.. (2022). New aspects of the influence of immunity and microbiome on heart transplant rejection. SHILAP Revista de lepidopterología. 27(8). 4806–4806.
6.
Головкин, А. С., et al.. (2021). Imbalanced Immune Response of T-Cell and B-Cell Subsets in Patients with Moderate and Severe COVID-19. Viruses. 13(10). 1966–1966. 44 indexed citations
8.
Королев, Д. В., et al.. (2021). Hemolytic Activity, Cytotoxicity, and Antimicrobial Effects of Human Albumin- and Polysorbate-80-Coated Silver Nanoparticles. Nanomaterials. 11(6). 1484–1484. 23 indexed citations
9.
Kostina, Aleksandra, Artem Kiselev, А. С. Головкин, et al.. (2020). Dysregulation of Notch signaling in cardiac mesenchymal cells of patients with tetralogy of Fallot. Pediatric Research. 88(1). 38–47. 7 indexed citations
10.
Головкин, А. С., et al.. (2020). Extracellular vesicles therapy: opportunities, mechanisms and perspectives. SHILAP Revista de lepidopterología. 25(10). 4081–4081. 1 indexed citations
11.
Dubashynskaya, Natallia V., А. С. Головкин, Igor Kudryavtsev, et al.. (2020). Mucoadhesive cholesterol-chitosan self-assembled particles for topical ocular delivery of dexamethasone. International Journal of Biological Macromolecules. 158. 811–818. 31 indexed citations
12.
Zaikova, Ekaterina, А. С. Головкин, Emil Bulatov, et al.. (2020). Granulocyte-Macrophage Colony-Stimulating Factor and CAR-T Technology for Solid Tumors in Experiment. SHILAP Revista de lepidopterología. 13(2). 115–122. 2 indexed citations
13.
Kostareva, Anna, et al.. (2020). Heterogeneity of the nucleic acid repertoire of plasma extracellular vesicles demonstrated using high‐sensitivity fluorescence‐activated sorting. Journal of Extracellular Vesicles. 9(1). 1743139–1743139. 35 indexed citations
14.
Kudryavtseva, Valeriya, Ksenia S. Stankevich, А. С. Головкин, et al.. (2018). The deposition of thin titanium-nitrogen coatings on the surface of PCL-based scaffolds for vascular tissue engineering. Applied Physics Letters. 112(15). 12 indexed citations
16.
Bolbasov, Evgeny, И. Н. Лапин, В. А. Светличный, et al.. (2015). The formation of calcium phosphate coatings by pulse laser deposition on the surface of polymeric ferroelectric. Applied Surface Science. 349. 420–429. 11 indexed citations
17.
Головкин, А. С., А. В. Понасенко, Anton G. Kutikhin, et al.. (2014). Association of TLR and TREM-1 gene polymorphisms with risk of coronary artery disease in a Russian population. Gene. 550(1). 101–109. 42 indexed citations
18.
Kutikhin, Anton G., Arseniy E. Yuzhalin, Vadim Borisov, et al.. (2014). Calcifying nanoparticles: one face of distinct entities?. Frontiers in Microbiology. 5. 214–214. 4 indexed citations
19.
Tverdokhlebov, Sergei I., Evgeny Bolbasov, E. V. Shesterikov, et al.. (2014). Modification of polylactic acid surface using RF plasma discharge with sputter deposition of a hydroxyapatite target for increased biocompatibility. Applied Surface Science. 329. 32–39. 44 indexed citations
20.
Головкин, А. С., et al.. (2012). sTREM-1 as a Prognostic Marker of Postoperative Complications in Cardiac Surgery. PubMed. 2012. 1–5. 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.

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