Piotr Dzięgiel

8.4k total citations
424 papers, 6.2k citations indexed

About

Piotr Dzięgiel is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Piotr Dzięgiel has authored 424 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 152 papers in Molecular Biology, 116 papers in Oncology and 63 papers in Cancer Research. Recurrent topics in Piotr Dzięgiel's work include Trace Elements in Health (46 papers), Cancer Cells and Metastasis (29 papers) and Lymphatic System and Diseases (23 papers). Piotr Dzięgiel is often cited by papers focused on Trace Elements in Health (46 papers), Cancer Cells and Metastasis (29 papers) and Lymphatic System and Diseases (23 papers). Piotr Dzięgiel collaborates with scholars based in Poland, United States and Iran. Piotr Dzięgiel's co-authors include Marzenna Podhorska‐Okołów, Aleksandra Piotrowska, M. Zabel, Bartosz Puła, Jędrzej Grzegrzółka, Agnieszka Gomułkiewicz, Mateusz Olbromski, Andrzej Wojnar, Maciej Ugorski and Karolina Jabłońska and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Piotr Dzięgiel

405 papers receiving 6.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Piotr Dzięgiel Poland 36 2.6k 1.8k 1.1k 937 644 424 6.2k
M. Zabel Poland 40 2.9k 1.1× 1.8k 1.0× 1.1k 1.0× 558 0.6× 516 0.8× 427 6.7k
Takashi Kojima Japan 50 4.1k 1.6× 1.0k 0.6× 1.0k 0.9× 672 0.7× 889 1.4× 235 8.8k
Chunying Li China 47 3.6k 1.4× 1.2k 0.7× 907 0.8× 1.1k 1.2× 1.9k 2.9× 301 8.2k
Hui Dong China 42 2.3k 0.9× 876 0.5× 1.0k 0.9× 626 0.7× 405 0.6× 225 5.6k
Futoshi Okada Japan 45 2.9k 1.1× 1.2k 0.7× 1.3k 1.2× 697 0.7× 722 1.1× 174 5.9k
Bing Yu China 40 2.2k 0.8× 1.1k 0.6× 454 0.4× 829 0.9× 565 0.9× 209 5.3k
Peter J. Leedman Australia 50 3.8k 1.5× 812 0.5× 2.0k 1.8× 519 0.6× 687 1.1× 128 7.5k
Yutaka Kohgo Japan 44 2.9k 1.1× 1.4k 0.8× 1.0k 0.9× 572 0.6× 575 0.9× 243 7.4k
Hua Yang China 37 1.9k 0.7× 734 0.4× 685 0.6× 509 0.5× 597 0.9× 179 4.1k
Tao Zhang China 38 2.8k 1.1× 1.2k 0.7× 1.5k 1.3× 1.2k 1.2× 441 0.7× 382 5.5k

Countries citing papers authored by Piotr Dzięgiel

Since Specialization
Citations

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

Fields of papers citing papers by Piotr Dzięgiel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piotr Dzięgiel

This figure shows the co-authorship network connecting the top 25 collaborators of Piotr Dzięgiel. A scholar is included among the top collaborators of Piotr Dzięgiel 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 Piotr Dzięgiel. Piotr Dzięgiel 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
1.
Kulus, Magdalena, Maryam Farzaneh, Farhoodeh Ghaedrahmati, et al.. (2025). Exosomes and non-coding RNAs: Exploring their roles in human myocardial dysfunction. Biomedicine & Pharmacotherapy. 183. 117853–117853. 4 indexed citations
2.
Peris‐Díaz, Manuel David, et al.. (2024). Prolonged cold-preservation of domestic cat ovarian tissue is improved by extracellular solution but impaired by the fragmentation of ovary. Animal Reproduction Science. 263. 107431–107431.
3.
Azizidoost, Shirin, Małgorzata Józkowiak, Piotr Dzięgiel, et al.. (2024). LncRNA-mediated regulation of cisplatin response in breast cancer. Pathology - Research and Practice. 264. 155716–155716.
4.
Stefańska, Katarzyna, Ana Angelova Volponi, Magdalena Kulus, et al.. (2024). Dental pulp stem cells – A basic research and future application in regenerative medicine. Biomedicine & Pharmacotherapy. 178. 116990–116990. 11 indexed citations
5.
6.
Sauer, Natalia, et al.. (2024). Pilot Study on High-Intensity Focused Ultrasound (HIFU) for Basal Cell Carcinoma: Effectiveness and Safety. Journal of Clinical Medicine. 13(11). 3277–3277. 6 indexed citations
7.
Chmielewski, Piotr Paweł, et al.. (2024). Human Aging and Age-Related Diseases: From Underlying Mechanisms to Pro-Longevity Interventions. Aging and Disease. 16(4). 1853–1853. 4 indexed citations
8.
Dzięgiel, Piotr, et al.. (2024). The Role of FNDC5/Irisin in Cardiovascular Disease. Cells. 13(3). 277–277. 12 indexed citations
9.
Ciaputa, R., Paola Crepaldi, Stanisław Dzimira, et al.. (2023). Canine urothelial carcinoma: expression of Periostin in spontaneous canine urothelial carcinoma and its correlation with histological features. Frontiers in Veterinary Science. 10. 1258247–1258247. 1 indexed citations
10.
Piotrowska, Aleksandra, Beata Smolarz, Hanna Romanowicz, et al.. (2023). The Immunohistochemical Expression of Epithelial–Mesenchymal Transition Markers in Precancerous Lesions and Cervical Cancer. International Journal of Molecular Sciences. 24(9). 8063–8063. 4 indexed citations
11.
Dzięgiel, Piotr, et al.. (2017). Clinical Phenotype of Depression Affects Interleukin-6 Synthesis. Journal of Interferon & Cytokine Research. 37(6). 231–245. 13 indexed citations
12.
Puła, Bartosz, Andrzej Bieniek, Jacek C. Szepietowski, et al.. (2014). Metallothionein 3 Expression in Normal Skin and Malignant Skin Lesions. Pathology & Oncology Research. 21(1). 187–193. 13 indexed citations
13.
Grzegrzółka, Jędrzej, Bartosz Puła, Mateusz Olbromski, et al.. (2013). ACE and ACE2 expression in normal and malignant skin lesions. Folia Histochemica et Cytobiologica. 51(3). 232–238. 17 indexed citations
14.
Puła, Bartosz, Mateusz Olbromski, Andrzej Wojnar, et al.. (2013). Impact of SOX18 expression in cancer cells and vessels on the outcome of invasive ductal breast carcinoma. Cellular Oncology. 36(6). 469–483. 37 indexed citations
15.
Turno‐Kręcicka, Anna, et al.. (2013). The Role of Inflammation in the Progression of Ocular Surface Damage in Children Following Allogeneic Haematopoietic Cell Transplantation. Folia Biologica. 59(4). 139–145. 1 indexed citations
16.
Grzegrzółka, Jędrzej, Bartosz Puła, Christopher Kobierzycki, et al.. (2012). Hsp-27 Expression in Invasive Ductal Breast Carcinoma. Folia Histochemica et Cytobiologica. 50(4). 527–533. 13 indexed citations
17.
Wojnar, Andrzej, et al.. (2010). Correlation between metallothionein (MT) expression and selected prognostic factors in ductal breast cancers.. SHILAP Revista de lepidopterología. 4 indexed citations
18.
Nowak, Marcin, et al.. (2009). Inflammatory form of histiocytoma with a malignant course in a dog. A case report.. Bulletin of the Veterinary Institute in Pulawy. 53(1). 153–157. 1 indexed citations
19.
Nowak, Marcin, J.A. Madej, & Piotr Dzięgiel. (2008). CORRELATION BETWEEN THE EXPRESSION OF MCM-3 PROTEIN AND Ki-67 ANTIGEN IN MAMMARY ADENOCARCINOMAS OF DOGS (SHORT COMMUNICATION). Bulletin of the Veterinary Institute in Pulawy. 52(4). 1 indexed citations
20.
Dzięgiel, Piotr, Paweł Surowiak, & M. Zabel. (2001). Expression of metallothionein [MT] in synovial sarcoma cells. Cellular & Molecular Biology Letters. 6. 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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