Anna Krześlak

1.8k total citations
71 papers, 1.5k citations indexed

About

Anna Krześlak is a scholar working on Molecular Biology, Organic Chemistry and Immunology. According to data from OpenAlex, Anna Krześlak has authored 71 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 13 papers in Organic Chemistry and 13 papers in Immunology. Recurrent topics in Anna Krześlak's work include Glycosylation and Glycoproteins Research (20 papers), Galectins and Cancer Biology (13 papers) and Carbohydrate Chemistry and Synthesis (10 papers). Anna Krześlak is often cited by papers focused on Glycosylation and Glycoproteins Research (20 papers), Galectins and Cancer Biology (13 papers) and Carbohydrate Chemistry and Synthesis (10 papers). Anna Krześlak collaborates with scholars based in Poland, United States and Germany. Anna Krześlak's co-authors include Magdalena Bryś, Ewa Forma, Anna Lipińska, Paweł Jóźwiak, Hanna Romanowicz, Andrzej Bieńkiewicz, Katarzyna Wójcik‐Krowiranda, Waldemar Różański, Katarzyna Starska and Chithra Keembiyehetty and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Anna Krześlak

70 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Krześlak Poland 22 1.0k 450 336 235 189 71 1.5k
Pankaj Chaudhary United States 21 950 0.9× 210 0.5× 353 1.1× 72 0.3× 227 1.2× 45 1.4k
Marina Orman United States 8 863 0.9× 209 0.5× 389 1.2× 199 0.8× 118 0.6× 10 1.3k
Keisei Okamoto Japan 21 1.6k 1.6× 158 0.4× 490 1.5× 116 0.5× 262 1.4× 40 2.5k
Medhi Wangpaichitr United States 27 1.1k 1.1× 191 0.4× 717 2.1× 68 0.3× 411 2.2× 69 2.2k
Quintin Pan United States 20 756 0.8× 189 0.4× 370 1.1× 74 0.3× 739 3.9× 40 1.8k
Dongshi Chen United States 19 1.1k 1.0× 226 0.5× 448 1.3× 30 0.1× 333 1.8× 29 1.6k
Deepak Gurbani United States 20 1.2k 1.2× 143 0.3× 287 0.9× 159 0.7× 424 2.2× 25 1.8k
Lifeng Feng China 27 1.6k 1.6× 161 0.4× 838 2.5× 50 0.2× 319 1.7× 64 2.3k
Xiangsheng Zuo United States 23 1.3k 1.3× 274 0.6× 602 1.8× 50 0.2× 650 3.4× 41 2.2k
Napoleón Navarro‐Tito Mexico 20 595 0.6× 93 0.2× 432 1.3× 48 0.2× 296 1.6× 53 1.2k

Countries citing papers authored by Anna Krześlak

Since Specialization
Citations

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

Fields of papers citing papers by Anna Krześlak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Krześlak

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Krześlak. A scholar is included among the top collaborators of Anna Krześlak 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 Anna Krześlak. Anna Krześlak 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.
Jóźwiak, Paweł, Joanna Oracz, Angela Dziedzic, et al.. (2024). Increased O-GlcNAcylation by Upregulation of Mitochondrial O-GlcNAc Transferase (mOGT) Inhibits the Activity of Respiratory Chain Complexes and Controls Cellular Bioenergetics. Cancers. 16(5). 1048–1048. 1 indexed citations
2.
Krześlak, Anna, et al.. (2024). BMI-1 in Breast Cancer – Biological Role and Clinical Implications. Cellular Physiology and Biochemistry. 58(5). 584–596.
3.
4.
Krześlak, Anna, et al.. (2024). RING1 Inhibition Has a Cell-Specific Antitumoral Role by Promoting Autophagy in Endometrial Cancer Cells. Cellular Physiology and Biochemistry. 58(1). 1–13. 1 indexed citations
5.
Krześlak, Anna, et al.. (2023). Role of O-GlcNAcylation in Breast Cancer Biology. Cellular Physiology and Biochemistry. 57(3). 183–197. 4 indexed citations
6.
Świątkowski, Marcin, Krzysztof Walczyński, Marta Bauer, et al.. (2022). Synthesis and Biological Evaluation of Thiazole-Based Derivatives with Potential against Breast Cancer and Antimicrobial Agents. International Journal of Molecular Sciences. 23(17). 9844–9844. 8 indexed citations
7.
Starska, Katarzyna, Ewa Forma, Paweł Jóźwiak, et al.. (2016). Gene/protein expression of CAPN1/2-CAST system members is associated with ERK1/2 kinases activity as well as progression and clinical outcome in human laryngeal cancer. Tumor Biology. 37(10). 13185–13203. 10 indexed citations
8.
Jóźwiak, Paweł, et al.. (2015). TET proteins and epigenetic modifications in cancers. SHILAP Revista de lepidopterología. 2 indexed citations
9.
Starska, Katarzyna, Magdalena Bryś, Ewa Forma, et al.. (2015). The effect of metallothionein 2A core promoter region single-nucleotide polymorphism on accumulation of toxic metals in sinonasal inverted papilloma tissues. Toxicology and Applied Pharmacology. 285(3). 187–197. 9 indexed citations
10.
11.
Rogalska, Aneta, et al.. (2014). Effect of metformin on apoptosis induction in ovarian cancer cells. Menopausal Review. 3(3). 155–161. 6 indexed citations
12.
Jóźwiak, Paweł, Anna Krześlak, Magdalena Bryś, & Anna Lipińska. (2014). Glucose-dependent glucose transporter 1 expression and its impact on viability of thyroid cancer cells. Oncology Reports. 33(2). 913–920. 29 indexed citations
13.
Krześlak, Anna, Paweł Jóźwiak, Ewa Forma, et al.. (2012). Diagnostic value of glucose transporter 1 and 3 (GLUT1 and GLUT3) mRNA levelin postmenopausal women with urinary bladder cancer. 11(3). 178–182. 1 indexed citations
14.
Bryś, Magdalena, Agnieszka Morel, Ewa Forma, et al.. (2012). Relationship of urinary isoprostanes to prostate cancer occurence. Molecular and Cellular Biochemistry. 372(1-2). 149–153. 26 indexed citations
15.
Forma, Ewa, Anna Krześlak, Paweł Jóźwiak, et al.. (2012). Metallothionein 2A genetic polymorphisms and risk of prostate cancer in a Polish population. Cancer Genetics. 205(9). 432–435. 25 indexed citations
16.
Krześlak, Anna, Katarzyna Wójcik‐Krowiranda, Ewa Forma, et al.. (2012). Expression of GLUT1 and GLUT3 Glucose Transporters in Endometrial and Breast Cancers. Pathology & Oncology Research. 18(3). 721–728. 216 indexed citations
17.
Krześlak, Anna. (2011). Down-regulation of β-N-acetyl-D-glucosaminidase increases Akt1 activity in thyroid anaplastic cancer cells. Oncology Reports. 26(3). 743–9. 27 indexed citations
18.
Krześlak, Anna, et al.. (2011). Gene expression of O-GlcNAc cycling enzymes in human breast cancers. Clinical and Experimental Medicine. 12(1). 61–65. 89 indexed citations
19.
Krześlak, Anna, Lech Pomorski, & Anna Lipińska. (2011). Expression, Localization, and Phosphorylation of Akt1 in Benign and Malignant Thyroid Lesions. Endocrine Pathology. 22(4). 206–211. 11 indexed citations
20.
Lipińska, Anna, et al.. (1997). Glycoproteins associated with nuclear matrix of higher Eucaryota. Cellular & Molecular Biology Letters. 2(2). 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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