Maxim A. Terpilowski

527 total citations
10 papers, 335 citations indexed

About

Maxim A. Terpilowski is a scholar working on Molecular Biology, Plant Science and Organic Chemistry. According to data from OpenAlex, Maxim A. Terpilowski has authored 10 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Organic Chemistry. Recurrent topics in Maxim A. Terpilowski's work include Pesticide Exposure and Toxicity (2 papers), Protein Interaction Studies and Fluorescence Analysis (1 paper) and Click Chemistry and Applications (1 paper). Maxim A. Terpilowski is often cited by papers focused on Pesticide Exposure and Toxicity (2 papers), Protein Interaction Studies and Fluorescence Analysis (1 paper) and Click Chemistry and Applications (1 paper). Maxim A. Terpilowski collaborates with scholars based in Russia, United Kingdom and United States. Maxim A. Terpilowski's co-authors include Н. В. Гончаров, В. И. Шмурак, П. В. Авдонин, Daria A. Belinskaia, Richard O. Jenkins, М. К. Серебрякова, I. V. Kudryavtsev, Николай В. Ростовский, Anastasiya V. Agafonova and Михаил С. Новиков and has published in prestigious journals such as Molecules, Frontiers in Physiology and Organic & Biomolecular Chemistry.

In The Last Decade

Maxim A. Terpilowski

10 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maxim A. Terpilowski Russia 7 106 56 38 24 23 10 335
Manabu Ishida Japan 11 200 1.9× 44 0.8× 36 0.9× 21 0.9× 9 0.4× 38 458
Yue Zou China 14 257 2.4× 55 1.0× 64 1.7× 49 2.0× 8 0.3× 32 564
Alexey Kolodkin Luxembourg 10 161 1.5× 34 0.6× 73 1.9× 19 0.8× 11 0.5× 13 386
Zhihui Yan China 15 323 3.0× 52 0.9× 29 0.8× 5 0.2× 21 0.9× 46 626
Zhou China 12 207 2.0× 14 0.3× 57 1.5× 6 0.3× 43 1.9× 118 503
Jiu Chang China 5 206 1.9× 10 0.2× 75 2.0× 12 0.5× 58 2.5× 6 569
Yuqi Gao China 15 302 2.8× 49 0.9× 21 0.6× 35 1.5× 32 1.4× 50 576
Jake Lin Finland 12 268 2.5× 9 0.2× 37 1.0× 32 1.3× 13 0.6× 31 576

Countries citing papers authored by Maxim A. Terpilowski

Since Specialization
Citations

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

Fields of papers citing papers by Maxim A. Terpilowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxim A. Terpilowski

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

All Works

10 of 10 papers shown
1.
Terpilowski, Maxim A.. (2019). scikit-posthocs: Pairwise multiple comparison tests in Python. The Journal of Open Source Software. 4(36). 1169–1169. 188 indexed citations
2.
Гончаров, Н. В., et al.. (2019). The Rat (Rattus norvegicus) as a Model Object for Acute Organophosphate Poisoning. 1. Biochemical Aspects. Journal of Evolutionary Biochemistry and Physiology. 55(2). 112–123. 12 indexed citations
3.
Гончаров, Н. В., Maxim A. Terpilowski, I. V. Kudryavtsev, et al.. (2019). The Rat (Rattus norvegicus) as a Model Object for Acute Organophosphate Poisoning. 2. A System Analysis of the Efficacy of Green Tea Extract in Preventing Delayed Effects of Poisoning. Journal of Evolutionary Biochemistry and Physiology. 55(3). 208–221. 7 indexed citations
4.
5.
Гончаров, Н. В., Maxim A. Terpilowski, I. V. Kudryavtsev, et al.. (2018). Cytotoxic Power of Hydrogen Peroxide Effect on Endothelial Cells in vitro. Biochemistry (Moscow) Supplement Series A Membrane and Cell Biology. 12(2). 180–188. 4 indexed citations
6.
Terpilowski, Maxim A., et al.. (2018). Effects of exposure of rat erythrocytes to a hypogeomagnetic field. DMU Open Research Archive (De Montfort University). 7(3-4). 105–113. 1 indexed citations
7.
Гончаров, Н. В., Daria A. Belinskaia, В. И. Шмурак, et al.. (2017). Serum Albumin Binding and Esterase Activity: Mechanistic Interactions with Organophosphates. Molecules. 22(7). 1201–1201. 69 indexed citations
8.
Галенко, Екатерина Е., Alexey V. Galenko, Михаил С. Новиков, et al.. (2017). 4‐Diazo and 4‐(Triaz‐1‐en‐1‐yl)‐1 H ‐pyrrole‐2‐carboxylates as Agents Inducing Apoptosis. ChemistrySelect. 2(25). 7508–7513. 7 indexed citations
9.
Smetanin, Ilia A., Михаил С. Новиков, Anastasiya V. Agafonova, et al.. (2016). A novel strategy for the synthesis of thermally stable and apoptosis-inducing 2,3-dihydroazetes. Organic & Biomolecular Chemistry. 14(19). 4479–4487. 37 indexed citations
10.
Terpilowski, Maxim A., et al.. (2012). Antifungal action of Bacillus thuringiensis delta-endotoxin against pathogenic fungi related to Phytophthora and Fusarium.. International Journal of Agricultural Technology. 8(1). 191–203. 3 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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