Dmitry Kuzmin

1.1k total citations · 1 hit paper
15 papers, 656 citations indexed

About

Dmitry Kuzmin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Dmitry Kuzmin has authored 15 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Genetics. Recurrent topics in Dmitry Kuzmin's work include Nicotinic Acetylcholine Receptors Study (6 papers), Ion channel regulation and function (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Dmitry Kuzmin is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (6 papers), Ion channel regulation and function (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Dmitry Kuzmin collaborates with scholars based in Russia, United Kingdom and United States. Dmitry Kuzmin's co-authors include Johannes C.M. van der Loo, Natalie R. Johnston, Maria V. Shutova, Elaine Johnstone, Owen Smith, Victor I. Tsetlin, Igor E. Kasheverov, Bodo Laube, Heinrich Betz and Chris Ulens and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Reviews Drug Discovery and PLoS Biology.

In The Last Decade

Dmitry Kuzmin

15 papers receiving 642 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The clinical landscape for AAV gene therapies

2021 355 citations Dmitry Kuzmin, Maria V. Shutova et al. Nature Reviews Drug Discovery profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dmitry Kuzmin Russia	8	519	235	134	56	55	15	656
Suzanne Scott Australia	11	350 0.7×	137 0.6×	164 1.2×	30 0.5×	20 0.4×	22	536
Jenny Stables United Kingdom	7	427 0.8×	89 0.4×	278 2.1×	46 0.8×	31 0.6×	10	600
Lizhen Yan United States	9	348 0.7×	116 0.5×	105 0.8×	20 0.4×	61 1.1×	12	500
Thomas Clairfeuille Australia	12	522 1.0×	87 0.4×	121 0.9×	14 0.3×	47 0.9×	15	700
Cindra Condra United States	16	147 0.3×	149 0.6×	72 0.5×	28 0.5×	126 2.3×	18	721
K S Evans United States	8	607 1.2×	46 0.2×	187 1.4×	25 0.4×	15 0.3×	11	773
John F. McCormick United States	13	472 0.9×	94 0.4×	78 0.6×	33 0.6×	67 1.2×	24	800
Yan Zou China	16	378 0.7×	83 0.4×	25 0.2×	197 3.5×	43 0.8×	40	747
Carole Gwizdek France	20	1.1k 2.1×	223 0.9×	52 0.4×	83 1.5×	29 0.5×	25	1.2k
Wenhao Xu United States	14	470 0.9×	110 0.5×	71 0.5×	26 0.5×	23 0.4×	33	753

Countries citing papers authored by Dmitry Kuzmin

Since Specialization

Citations

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

Fields of papers citing papers by Dmitry Kuzmin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitry Kuzmin

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

All Works

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15 of 15 papers shown

Elagin, Vadim, et al.. (2024). Novel Optical Criteria and Mechanisms of Critical Decline in Liver Regenerative Potential. Cells. 13(23). 2015–2015. 1 indexed citations

Kuzmin, Dmitry, et al.. (2023). Efficiacy of Pharmacotherapy in Patients with Hypothimic Mental Disorders Suffered from Covid-19 Infection. European Psychiatry. 66(S1). S181–S181. 1 indexed citations

Kuzmin, Dmitry, Maria V. Shutova, Natalie R. Johnston, et al.. (2021). The clinical landscape for AAV gene therapies. Nature Reviews Drug Discovery. 20(3). 173–174. 355 indexed citations breakdown →

Männikkö, Roope, Захар О. Шенкарев, Alexander S. Paramonov, et al.. (2018). Spider toxin inhibits gating pore currents underlying periodic paralysis. Proceedings of the National Academy of Sciences. 115(17). 4495–4500. 23 indexed citations

Nicholson, Elizabeth, Dmitry Kuzmin, Marco Leite, Thomas Akam, & Dimitri M. Kullmann. (2018). Analogue closed-loop optogenetic modulation of hippocampal pyramidal cells dissociates gamma frequency and amplitude. eLife. 7. 13 indexed citations

Brams, Marijke, Anshul A. Pandya, Dmitry Kuzmin, et al.. (2011). A Structural and Mutagenic Blueprint for Molecular Recognition of Strychnine and d-Tubocurarine by Different Cys-Loop Receptors. PLoS Biology. 9(3). e1001034–e1001034. 84 indexed citations

Tsetlin, Victor I., Dmitry Kuzmin, & Igor E. Kasheverov. (2011). Assembly of nicotinic and other Cys‐loop receptors. Journal of Neurochemistry. 116(5). 734–741. 53 indexed citations

Ei, Shakhmatova, Jian Gao, Dmitry Y. Mordvintsev, et al.. (2011). Correlation of renal solute-free water reabsorption and energy of interaction of vasotocin analogs with V2 receptor. Biology Bulletin. 38(6). 615–621. 1 indexed citations

Haeger, Svenja, Dmitry Kuzmin, Silvia Detro‐Dassen, et al.. (2009). An intramembrane aromatic network determines pentameric assembly of Cys-loop receptors. Nature Structural & Molecular Biology. 17(1). 90–98. 81 indexed citations

10.

Grudzinska, Joanna, et al.. (2008). Binding-site mutations in the α1 subunit of the inhibitory glycine receptor convert the inhibitory metal ion Cu2+ into a positive modulator. Neuropharmacology. 56(1). 310–317. 10 indexed citations

11.

Kuzmin, Dmitry, et al.. (2008). Comparative-physiological study of leukocyte participation in initiation of lipid peroxidation during nitrite intoxication in rats and muskrats. Journal of Evolutionary Biochemistry and Physiology. 44(4). 476–483. 3 indexed citations

12.

Kuzmin, Dmitry, et al.. (2007). Computer modeling of binding of diverse weak toxins to nicotinic acetylcholine receptors. Computational Biology and Chemistry. 31(2). 72–81. 21 indexed citations

13.

Mordvintsev, Dmitry Y., et al.. (2006). A Model for Short α-Neurotoxin Bound to Nicotinic Acetylcholine Receptor From Torpedo californica. Journal of Molecular Neuroscience. 30(1-2). 71–72. 4 indexed citations

14.

Kuzmin, Dmitry, et al.. (2006). Effects of hypoxic factors on cardiac chronotropic reactions in the muskrat Ondatra zibethicus in free behavior. Journal of Evolutionary Biochemistry and Physiology. 42(4). 461–468. 5 indexed citations

15.

Kuzmin, Dmitry, et al.. (1989). [The cholin- and adrenergic mechanisms of the adaptation of the cardiac activity of diving animals during hypoxia].. PubMed. 28. 21–8. 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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