Wojciech Bal

9.6k total citations · 1 hit paper
207 papers, 8.1k citations indexed

About

Wojciech Bal is a scholar working on Molecular Biology, Oncology and Nutrition and Dietetics. According to data from OpenAlex, Wojciech Bal has authored 207 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Molecular Biology, 89 papers in Oncology and 75 papers in Nutrition and Dietetics. Recurrent topics in Wojciech Bal's work include Trace Elements in Health (74 papers), Drug Transport and Resistance Mechanisms (56 papers) and Metal complexes synthesis and properties (46 papers). Wojciech Bal is often cited by papers focused on Trace Elements in Health (74 papers), Drug Transport and Resistance Mechanisms (56 papers) and Metal complexes synthesis and properties (46 papers). Wojciech Bal collaborates with scholars based in Poland, United States and United Kingdom. Wojciech Bal's co-authors include Artur Krężel, Kazimierz S. Kasprzak, Henryk Kozłowski, Magdalena Sokołowska, Peter Faller, Małgorzata Rózga, Małgorzata Jeżowska‐Bojczuk, Marcin Dyba, Ewa Kurowska and Teresa Kowalik‐Jankowska and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Wojciech Bal

206 papers receiving 8.0k citations

Hit Papers

Binding of transition met... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wojciech Bal Poland 49 3.8k 2.3k 2.2k 1.2k 1.2k 207 8.1k
Carol A. Fierke United States 60 8.8k 2.3× 1.5k 0.6× 1.5k 0.7× 618 0.5× 975 0.8× 240 12.2k
Artur Krężel Poland 40 2.1k 0.6× 1.1k 0.5× 2.8k 1.3× 419 0.3× 661 0.5× 120 6.1k
Katherine J. Franz United States 41 1.5k 0.4× 1.3k 0.6× 1.1k 0.5× 560 0.5× 1.1k 0.9× 103 5.6k
Paul S. Donnelly Australia 49 1.8k 0.5× 2.7k 1.2× 1.2k 0.5× 1.1k 0.9× 506 0.4× 216 7.9k
Henryk Kozłowski Poland 50 5.4k 1.4× 3.7k 1.6× 2.5k 1.1× 1.5k 1.2× 2.9k 2.3× 450 13.1k
William E. Antholine United States 49 3.6k 0.9× 1.8k 0.8× 1.3k 0.6× 684 0.6× 289 0.2× 162 7.3k
J. Peisach United States 59 7.1k 1.9× 2.7k 1.2× 1.7k 0.8× 1.1k 0.9× 1.3k 1.1× 258 13.8k
Imre Sóvágó Hungary 38 2.2k 0.6× 1.5k 0.7× 852 0.4× 677 0.5× 1.1k 0.9× 156 4.6k
Milan Vašák Switzerland 51 2.2k 0.6× 1.6k 0.7× 5.6k 2.6× 797 0.6× 588 0.5× 141 8.7k
Lucia Banci Italy 74 9.9k 2.6× 2.8k 1.2× 6.0k 2.7× 1.3k 1.1× 1.9k 1.5× 430 19.9k

Countries citing papers authored by Wojciech Bal

Since Specialization
Citations

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

Fields of papers citing papers by Wojciech Bal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wojciech Bal

This figure shows the co-authorship network connecting the top 25 collaborators of Wojciech Bal. A scholar is included among the top collaborators of Wojciech Bal 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 Wojciech Bal. Wojciech Bal 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
2.
Ciosek, Patrycja, et al.. (2022). Dual mode of voltammetric studies on Cu(ii) complexes of His2 peptides: phosphate and peptide sequence recognition. Dalton Transactions. 51(47). 18143–18151. 4 indexed citations
3.
Peris‐Díaz, Manuel David, et al.. (2022). An Overlooked Hepcidin–Cadmium Connection. International Journal of Molecular Sciences. 23(24). 15483–15483. 1 indexed citations
4.
Stokowa‐Sołtys, Kamila, et al.. (2022). Interactions of neurokinin B with copper(ii) ions and their potential biological consequences. Dalton Transactions. 51(37). 14267–14276. 7 indexed citations
5.
Borsari, Chiara, Erhan Keleş, Jacob A. McPhail, et al.. (2022). Covalent Proximity Scanning of a Distal Cysteine to Target PI3Kα. Journal of the American Chemical Society. 144(14). 6326–6342. 40 indexed citations
6.
Bal, Wojciech, et al.. (2021). Electrospray-Induced Mass Spectrometry Is Not Suitable for Determination of Peptidic Cu(II) Complexes. Journal of the American Society for Mass Spectrometry. 32(12). 2766–2776. 14 indexed citations
7.
Poznański, Jarosław, Bożena Czarkowska‐Pączek, Arkadiusz Bonna, et al.. (2021). Cirrhotic Liver of Liver Transplant Recipients Accumulate Silver and Co-Accumulate Copper. International Journal of Molecular Sciences. 22(4). 1782–1782. 16 indexed citations
8.
Wezynfeld, Nina E., et al.. (2021). Tuning Receptor Properties of Metal–Amyloid Beta Complexes. Studies on the Interaction between Ni(II)–Aβ5–9 and Phosphates/Nucleotides. Inorganic Chemistry. 60(24). 19448–19456. 3 indexed citations
9.
Bossak‐Ahmad, Karolina, et al.. (2020). Ternary Cu(II) Complex with GHK Peptide and Cis-Urocanic Acid as a Potential Physiologically Functional Copper Chelate. International Journal of Molecular Sciences. 21(17). 6190–6190. 20 indexed citations
10.
Teng, Xiangyu, et al.. (2020). Hierarchical binding of copperII to N-truncated Aβ4–16 peptide. Metallomics. 12(4). 470–473. 16 indexed citations
11.
Strampraad, Marc J. F., et al.. (2020). Key Intermediate Species Reveal the Copper(II)‐Exchange Pathway in Biorelevant ATCUN/NTS Complexes. Angewandte Chemie International Edition. 59(28). 11234–11239. 42 indexed citations
12.
González, Paulina, Karolina Bossak‐Ahmad, Bertrand Vileno, et al.. (2019). Triggering Cu-coordination change in Cu(ii)-Ala-His-His by external ligands. Chemical Communications. 55(56). 8110–8113. 17 indexed citations
13.
Bal, Wojciech, et al.. (2019). Ternary Zn(II) Complexes of Fluorescent Zinc Probes Zinpyr-1 and Zinbo-5 with the Low Molecular Weight Component of Exchangeable Cellular Zinc Pool. Inorganic Chemistry. 58(21). 14741–14751. 11 indexed citations
14.
Frączyk, Tomasz, Arkadiusz Bonna, Ewelina Stefaniak, Nina E. Wezynfeld, & Wojciech Bal. (2019). Peptide Bond Cleavage by Ni(II) Ions within the Nuclear Localization Signal Sequence. Chemistry & Biodiversity. 17(2). e1900652–e1900652. 5 indexed citations
15.
Bal, Wojciech, et al.. (2018). Ternary Zn(II) Complexes of FluoZin-3 and the Low Molecular Weight Component of the Exchangeable Cellular Zinc Pool. Inorganic Chemistry. 57(16). 9826–9838. 25 indexed citations
16.
Santoro, Alice, Nina E. Wezynfeld, Ewelina Stefaniak, et al.. (2018). Cu transfer from amyloid-β4–16 to metallothionein-3: the role of the neurotransmitter glutamate and metallothionein-3 Zn(ii)-load states. Chemical Communications. 54(89). 12634–12637. 22 indexed citations
17.
Frączyk, Tomasz, et al.. (2018). Gly-His-Thr-Asp-Amide, an Insulin-Activating Peptide from the Human Pancreas Is a Strong Cu(II) but a Weak Zn(II) Chelator. Inorganic Chemistry. 57(24). 15507–15516. 14 indexed citations
18.
Stefaniak, Ewelina, Simon C. Drew, Karolina Bossak‐Ahmad, et al.. (2018). The N-terminal 14-mer model peptide of human Ctr1 can collect Cu(ii) from albumin. Implications for copper uptake by Ctr1. Metallomics. 10(12). 1723–1727. 47 indexed citations
20.
Wszelaka‐Rylik, Małgorzata, et al.. (2007). Ap4A is not an efficient Zn(II) binding agent. A concerted potentiometric, calorimetric and NMR study. Journal of Inorganic Biochemistry. 101(5). 758–763. 5 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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