A. Bartkowiak

406 total citations
17 papers, 236 citations indexed

About

A. Bartkowiak is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, A. Bartkowiak has authored 17 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Physiology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in A. Bartkowiak's work include Erythrocyte Function and Pathophysiology (5 papers), Neuroscience and Neuropharmacology Research (3 papers) and Computational Drug Discovery Methods (3 papers). A. Bartkowiak is often cited by papers focused on Erythrocyte Function and Pathophysiology (5 papers), Neuroscience and Neuropharmacology Research (3 papers) and Computational Drug Discovery Methods (3 papers). A. Bartkowiak collaborates with scholars based in Poland, India and Germany. A. Bartkowiak's co-authors include Jakub Włodarczyk, Monika Zaręba-Kozioł, Izabela Figiel, Grzegorz Bartosz, W. Leyko, Ewa Grzelińska, Tomasz Wójtowicz, Jacek Bartkowiak, Adam Krzystyniak and Monika Bijata and has published in prestigious journals such as International Journal of Molecular Sciences, Cellular and Molecular Life Sciences and Molecular & Cellular Proteomics.

In The Last Decade

A. Bartkowiak

17 papers receiving 226 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. Bartkowiak Poland	11	110	50	48	32	22	17	236
Ewa Lenartowicz Poland	11	247 2.2×	72 1.4×	35 0.7×	72 2.3×	8 0.4×	17	381
Edwin M. Labut United States	9	129 1.2×	57 1.1×	29 0.6×	14 0.4×	22 1.0×	11	370
Scott D. Dwyer United States	7	160 1.5×	40 0.8×	123 2.6×	58 1.8×	26 1.2×	7	371
K. Lund Ayaz United States	9	88 0.8×	166 3.3×	26 0.5×	12 0.4×	12 0.5×	13	385
Darryl Horn United States	9	552 5.0×	61 1.2×	53 1.1×	30 0.9×	18 0.8×	10	757
John W. Perry United States	13	435 4.0×	44 0.9×	37 0.8×	21 0.7×	38 1.7×	20	712
Jonathan G. Bilmen United Kingdom	8	314 2.9×	53 1.1×	109 2.3×	99 3.1×	22 1.0×	8	586
Ana F. Castillo Argentina	15	389 3.5×	62 1.2×	16 0.3×	18 0.6×	42 1.9×	27	634
Tim S. Munsey United Kingdom	9	212 1.9×	62 1.2×	7 0.1×	62 1.9×	12 0.5×	15	372
James A. Rillema United States	14	281 2.6×	54 1.1×	27 0.6×	9 0.3×	15 0.7×	42	602

Countries citing papers authored by A. Bartkowiak

Since Specialization

Citations

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

Fields of papers citing papers by A. Bartkowiak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Bartkowiak

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

All Works

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17 of 17 papers shown

Zaręba-Kozioł, Monika, A. Bartkowiak, Piyali Chatterjee, et al.. (2021). RFCM-PALM: In-Silico Prediction of S-Palmitoylation Sites in the Synaptic Proteins for Male/Female Mouse Data. International Journal of Molecular Sciences. 22(18). 9901–9901. 2 indexed citations

Zaręba-Kozioł, Monika, A. Bartkowiak, Izabela Figiel, et al.. (2021). S-Palmitoylation of Synaptic Proteins as a Novel Mechanism Underlying Sex-Dependent Differences in Neuronal Plasticity. International Journal of Molecular Sciences. 22(12). 6253–6253. 10 indexed citations

Zaręba-Kozioł, Monika, A. Bartkowiak, Izabela Figiel, et al.. (2019). Stress-induced Changes in the S-palmitoylation and S-nitrosylation of Synaptic Proteins*[S]. Molecular & Cellular Proteomics. 18(10). 1916–1938. 40 indexed citations

Zaręba-Kozioł, Monika, Izabela Figiel, A. Bartkowiak, & Jakub Włodarczyk. (2018). Insights Into Protein S-Palmitoylation in Synaptic Plasticity and Neurological Disorders: Potential and Limitations of Methods for Detection and Analysis. Frontiers in Molecular Neuroscience. 11. 175–175. 47 indexed citations

Skrzypczak-Zielińska, Marzena, A. Bartkowiak, Oliwia Zakerska‐Banaszak, et al.. (2016). A Simple Method for TPMT and ITPA Genotyping Using Multiplex HRMA for Patients Treated with Thiopurine Drugs. Molecular Diagnosis & Therapy. 20(5). 493–499. 10 indexed citations

Bartkowiak, A., Tomasz Banasiewicz, Bogusław Nedoszytko, et al.. (2013). High Resolution Melting analysis as a rapid and efficient method of screening for small mutations in the STK11gene in patients with Peutz-Jeghers syndrome. BMC Medical Genetics. 14(1). 58–58. 14 indexed citations

Bartosz, Grzegorz, Ewa Grzelińska, & A. Bartkowiak. (1984). Aging of the erythrocyte. XIX. Decrease in surface charge density of bovine erythrocytes. Mechanisms of Ageing and Development. 24(1). 1–7. 10 indexed citations

Grzelińska, Ewa, Grzegorz Bartosz, & A. Bartkowiak. (1983). Aging of the Erythrocyte. Enzyme. 30(2). 95–98. 7 indexed citations

Bartkowiak, A., Ewa Grzelińska, & Grzegorz Bartosz. (1983). Aging of the erythrocyte—XVII. changes in the properties of superoxide dismutase. International Journal of Biochemistry. 15(5). 763–765. 3 indexed citations

10.

Grzelińska, Ewa, A. Bartkowiak, Grzegorz Bartosz, & W. Leyko. (1982). Effect of ^· OH Scavengers on Radiation Damage to the Erythrocyte Membrane. International Journal of Radiation Biology and Related Studies in Physics Chemistry and Medicine. 41(5). 473–481. 21 indexed citations

11.

Barabás, Katalin, L. Szabó, Sz.I. Varga, et al.. (1982). Study of the effects of paraquat on the peroxide metabolism enzymes in guinea-pig. General Pharmacology The Vascular System. 13(2). 133–137. 2 indexed citations

12.

Bartkowiak, A., Ewa Grzelińska, Ilona Sz. Varga, & W. Leyko. (1981). Studies on superoxide dismutase from cod (Gadus morhua) liver. International Journal of Biochemistry. 13(9). 1039–1042. 18 indexed citations

13.

Bartkowiak, A., et al.. (1981). Comparative studies on superoxide dismutase, catalase and peroxidase levels in erythrocytes of different fish species. Comparative Biochemistry and Physiology Part B Comparative Biochemistry. 68(2). 357–358. 26 indexed citations

14.

Bartosz, Grzegorz & A. Bartkowiak. (1981). Aging of the erythrocyte. II. Activities of peroxide-detoxifying enzymes. Cellular and Molecular Life Sciences. 37(7). 722–723. 11 indexed citations

15.

Bartkowiak, A. & Jacek Bartkowiak. (1981). Superoxide dismutase and catalase activities in normal and cancerous tissues. Comparative Biochemistry and Physiology Part B Comparative Biochemistry. 70(4). 819–820. 11 indexed citations

16.

Bartkowiak, A., W. Leyko, & Rainer Fried. (1979). A comparative characterization of cytosolic superoxide dismutase/(SOD) from hog liver and erythrocytes. Comparative Biochemistry and Physiology Part B Comparative Biochemistry. 62(1). 61–66. 3 indexed citations

17.

Bartkowiak, A., et al.. (1958). [Developmental charts of children up to 3 years of age in lower Silesia].. PubMed. 33(4). 473–80. 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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