Alexander Strigun

687 total citations
8 papers, 514 citations indexed

About

Alexander Strigun is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Alexander Strigun has authored 8 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 2 papers in Pharmacology. Recurrent topics in Alexander Strigun's work include Metabolomics and Mass Spectrometry Studies (4 papers), Computational Drug Discovery Methods (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Alexander Strigun is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (4 papers), Computational Drug Discovery Methods (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Alexander Strigun collaborates with scholars based in Germany, United States and United Kingdom. Alexander Strigun's co-authors include M. Nicola Woodroofe, Marios Hadjivassiliou, David S. Sanders, Daniel Aeschlimann, Pascale Aeschlimann, Elmar Heinzle, Noor Fatima, Jens Niklas, Judith Wahrheit and Erik Peter and has published in prestigious journals such as Annals of Neurology, Toxicology and Applied Pharmacology and Toxicological Sciences.

In The Last Decade

Alexander Strigun

8 papers receiving 500 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexander Strigun Germany	8	196	116	93	62	54	8	514
Yuko Hori Japan	14	71 0.4×	96 0.8×	67 0.7×	90 1.5×	12 0.2×	40	614
Jessica A. Martinez United States	13	216 1.1×	15 0.1×	39 0.4×	30 0.5×	56 1.0×	30	487
Yong Han China	15	369 1.9×	11 0.1×	36 0.4×	84 1.4×	24 0.4×	53	683
Suyu Chen China	12	171 0.9×	16 0.1×	29 0.3×	84 1.4×	15 0.3×	35	512
Yukio Satô Japan	11	157 0.8×	8 0.1×	92 1.0×	59 1.0×	24 0.4×	40	555
Miho Aoki Japan	13	173 0.9×	12 0.1×	62 0.7×	41 0.7×	5 0.1×	44	517
Shafi Ahmed United Kingdom	8	182 0.9×	52 0.4×	19 0.2×	47 0.8×	3 0.1×	17	484
Lei‐Yun Wang China	12	206 1.1×	6 0.1×	39 0.4×	51 0.8×	25 0.5×	30	501
Hitomi Inoue Japan	9	502 2.6×	5 0.0×	70 0.8×	32 0.5×	52 1.0×	12	809
P. Kölle Germany	9	557 2.8×	18 0.2×	51 0.5×	299 4.8×	4 0.1×	14	925

Countries citing papers authored by Alexander Strigun

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Strigun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Strigun

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

All Works

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8 of 8 papers shown

1.

Ramı́rez, Tzutzuy, Alexander Strigun, Erik Peter, et al.. (2017). Prediction of liver toxicity and mode of action using metabolomics in vitro in HepG2 cells. Archives of Toxicology. 92(2). 893–906. 121 indexed citations

2.

Beatty, Alexander, Lauren S. Fink, Tanu Singh, et al.. (2017). Metabolite Profiling Reveals the Glutathione Biosynthetic Pathway as a Therapeutic Target in Triple-Negative Breast Cancer. Molecular Cancer Therapeutics. 17(1). 264–275. 47 indexed citations

3.

Ravenzwaay, Bennard van, Saskia Sperber, Eric Fabian, et al.. (2016). Metabolomics as read-across tool: A case study with phenoxy herbicides. Regulatory Toxicology and Pharmacology. 81. 288–304. 42 indexed citations

4.

Strigun, Alexander, Noor Fatima, Alejandro Pironti, et al.. (2011). Metabolic flux analysis gives an insight on verapamil induced changes in central metabolism of HL-1 cells. Journal of Biotechnology. 155(3). 299–307. 24 indexed citations

5.

Strigun, Alexander, Judith Wahrheit, Jens Niklas, Elmar Heinzle, & Noor Fatima. (2011). Doxorubicin Increases Oxidative Metabolism in HL-1 Cardiomyocytes as Shown by 13C Metabolic Flux Analysis. Toxicological Sciences. 125(2). 595–606. 41 indexed citations

6.

Strigun, Alexander, et al.. (2011). Metabolic profiling using HPLC allows classification of drugs according to their mechanisms of action in HL-1 cardiomyocytes. Toxicology and Applied Pharmacology. 252(2). 183–191. 18 indexed citations

7.

Fatima, Noor, et al.. (2009). High throughput, non-invasive and dynamic toxicity screening on adherent cells using respiratory measurements. Toxicology in Vitro. 24(2). 686–694. 29 indexed citations

8.

Hadjivassiliou, Marios, Pascale Aeschlimann, Alexander Strigun, et al.. (2008). Autoantibodies in gluten ataxia recognize a novel neuronal transglutaminase. Annals of Neurology. 64(3). 332–343. 192 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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