Dawid Walerych

1.6k total citations
20 papers, 1.3k citations indexed

About

Dawid Walerych is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Dawid Walerych has authored 20 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Dawid Walerych's work include Cancer-related Molecular Pathways (10 papers), Heat shock proteins research (6 papers) and Ubiquitin and proteasome pathways (5 papers). Dawid Walerych is often cited by papers focused on Cancer-related Molecular Pathways (10 papers), Heat shock proteins research (6 papers) and Ubiquitin and proteasome pathways (5 papers). Dawid Walerych collaborates with scholars based in Poland, Italy and Germany. Dawid Walerych's co-authors include Giannino Del Sal, Maciej Żylicz, Kamil Lisek, Marco Napoli, Licio Collavin, L. Müller, Małgorzata Gutkowska, Yari Ciani, Jurre Hageman and Harm H. Kampinga and has published in prestigious journals such as Journal of Biological Chemistry, Nature Cell Biology and Oncogene.

In The Last Decade

Dawid Walerych

20 papers receiving 1.3k citations

Peers

Dawid Walerych

ONCOL

IMMUN

Liling Wan United States

Caroline B. Ho United States

Krista K. Bowman United States

Xuecui Guo Canada

Patrick L. Garcia United States

Craig D. Simpson Canada

Gaichao Zhao China

Vladimir Khazak United States

Daniel Y.L. Mao Canada

Sandra Muñoz-Galván Spain

Liling Wan United States

Dawid Walerych

1.1k ×1.1

533 ×1.1

ONCOL

323 ×1.1

75 ×0.4

141 ×1.7

IMMUN

Citations per year, relative to Dawid Walerych Dawid Walerych (= 1×) peers Liling Wan

Countries citing papers authored by Dawid Walerych

Since Specialization

Citations

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

Fields of papers citing papers by Dawid Walerych

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dawid Walerych

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

All Works

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20 of 20 papers shown

Kaźmierczak, Wojciech, et al.. (2024). A common druggable signature of oncogenic c-Myc, mutant KRAS and mutant p53 reveals functional redundancy and competition among oncogenes in cancer. Cell Death and Disease. 15(8). 638–638. 7 indexed citations

Jastrzębski, Kamil, Wojciech Kaźmierczak, Tomasz Olesiński, et al.. (2022). The molecular network of the proteasome machinery inhibition response is orchestrated by HSP70, revealing vulnerabilities in cancer cells. Cell Reports. 40(13). 111428–111428. 15 indexed citations

Gawęda-Walerych, Katarzyna, Dawid Walerych, Mariusz Berdyński, Emanuele Buratti, & Cezary Żekanowski. (2021). Parkin Levels Decrease in Fibroblasts With Progranulin (PGRN) Pathogenic Variants and in a Cellular Model of PGRN Deficiency. Frontiers in Molecular Neuroscience. 14. 676478–676478. 13 indexed citations

Walerych, Dawid, et al.. (2020). A Driver Never Works Alone—Interplay Networks of Mutant p53, MYC, RAS, and Other Universal Oncogenic Drivers in Human Cancer. Cancers. 12(6). 1532–1532. 12 indexed citations

Walerych, Dawid, et al.. (2018). Wild-type p53 oligomerizes more efficiently than p53 hot-spot mutants and overcomes mutant p53 gain-of-function via a “dominant-positive” mechanism. Oncotarget. 9(62). 32063–32080. 13 indexed citations

Lisek, Kamil, et al.. (2018). Mutant p53 tunes the NRF2-dependent antioxidant response to support survival of cancer cells. Oncotarget. 9(29). 20508–20523. 97 indexed citations

Garibaldi, Francesca, Daniela Trisciuoglio, Teresa Colombo, et al.. (2016). Mutant p53 inhibits miRNA biogenesis by interfering with the microprocessor complex. Oncogene. 35(29). 3760–3770. 44 indexed citations

Walerych, Dawid, Kamil Lisek, Roberta Sommaggio, et al.. (2016). Proteasome machinery is instrumental in a common gain-of-function program of the p53 missense mutants in cancer. Nature Cell Biology. 18(8). 897–909. 185 indexed citations

Lisek, Kamil, Dawid Walerych, & Giannino Del Sal. (2016). Mutant p53–Nrf2 axis regulates the proteasome machinery in cancer. Molecular & Cellular Oncology. 4(1). e1217967–e1217967. 15 indexed citations

10.

Mantovani, Fiamma, Dawid Walerych, & Giannino Del Sal. (2016). Targeting mutant p53 in cancer: a long road to precision therapy. FEBS Journal. 284(6). 837–850. 53 indexed citations

11.

Walerych, Dawid, Kamil Lisek, & Giannino Del Sal. (2015). Mutant p53: One, No One, and One Hundred Thousand. Frontiers in Oncology. 5. 289–289. 72 indexed citations

12.

Girardini, Javier E., Dawid Walerych, & Giannino Del Sal. (2014). Cooperation of p53 Mutations with Other Oncogenic Alterations in Cancer. Sub-cellular biochemistry. 85. 41–70. 7 indexed citations

13.

Walerych, Dawid, Marco Napoli, Licio Collavin, & Giannino Del Sal. (2012). The rebel angel: mutant p53 as the driving oncogene in breast cancer. Carcinogenesis. 33(11). 2007–2017. 227 indexed citations

14.

Hageman, Jurre, Maria A.W.H. van Waarde, Maciej Żylicz, Dawid Walerych, & Harm H. Kampinga. (2011). The diverse members of the mammalian HSP70 machine show distinct chaperone-like activities. Biochemical Journal. 435(1). 127–142. 141 indexed citations

15.

Walerych, Dawid, et al.. (2010). ATP Binding to Hsp90 Is Sufficient for Effective Chaperoning of p53 Protein. Journal of Biological Chemistry. 285(42). 32020–32028. 34 indexed citations

16.

Hrstka, Roman, Dawid Walerych, Petr Müller, et al.. (2010). The new platinum(IV) derivative LA-12 shows stronger inhibitory effect on Hsp90 function compared to cisplatin. Molecular Cancer. 9(1). 147–147. 26 indexed citations

17.

Walerych, Dawid, Maciej B. Olszewski, Małgorzata Gutkowska, Aleksandra Helwak, & Maciej Żylicz. (2009). Hsp70 molecular chaperones are required to support p53 tumor suppressor activity under stress conditions. Oncogene. 28(48). 4284–4294. 65 indexed citations

18.

Walerych, Dawid, et al.. (2005). Psc3 cohesin of Schizosaccharomyces pombe : cell cycle analysis and identification of three distinct isoforms. Biological Chemistry. 386(7). 613–621. 1 indexed citations

19.

Müller, L., Andreas Schaupp, Dawid Walerych, Harald Wegele, & Johannes Büchner. (2004). Hsp90 Regulates the Activity of Wild Type p53 under Physiological and Elevated Temperatures. Journal of Biological Chemistry. 279(47). 48846–48854. 124 indexed citations

20.

Walerych, Dawid, Grzegorz Kudla, Małgorzata Gutkowska, et al.. (2004). Hsp90 Chaperones Wild-type p53 Tumor Suppressor Protein. Journal of Biological Chemistry. 279(47). 48836–48845. 130 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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