Beata Schlichtholz

1.6k total citations
18 papers, 1.3k citations indexed

About

Beata Schlichtholz is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Beata Schlichtholz has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 9 papers in Molecular Biology and 5 papers in Surgery. Recurrent topics in Beata Schlichtholz's work include Cancer-related Molecular Pathways (8 papers), Cancer Research and Treatments (5 papers) and Bladder and Urothelial Cancer Treatments (5 papers). Beata Schlichtholz is often cited by papers focused on Cancer-related Molecular Pathways (8 papers), Cancer Research and Treatments (5 papers) and Bladder and Urothelial Cancer Treatments (5 papers). Beata Schlichtholz collaborates with scholars based in Poland, France and Tunisia. Beata Schlichtholz's co-authors include Thierry Soussi, Richard Lubin, Yann Legros, Katherine Ory, Jean Trédaniel, Gérard Zalcman, A Hirsch, Daniel Gillet, David P. Lane and M. Marty and has published in prestigious journals such as International Journal of Molecular Sciences, British Journal of Cancer and International Journal of Cancer.

In The Last Decade

Beata Schlichtholz

18 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Beata Schlichtholz 767 549 338 280 235 18 1.3k
Yann Legros 997 1.3× 704 1.3× 280 0.8× 327 1.2× 199 0.8× 14 1.4k
Hiroki Hashida 1.0k 1.4× 768 1.4× 359 1.1× 71 0.3× 404 1.7× 58 1.8k
Jan Žaloudík 523 0.7× 582 1.1× 205 0.6× 82 0.3× 479 2.0× 62 1.2k
C Lu 658 0.9× 1.0k 1.9× 270 0.8× 114 0.4× 197 0.8× 11 1.4k
Kang–Da Liu 302 0.4× 600 1.1× 329 1.0× 74 0.3× 144 0.6× 41 1.2k
Margaret M. Kozak 758 1.0× 627 1.1× 312 0.9× 66 0.2× 68 0.3× 48 1.5k
H Sawada 503 0.7× 669 1.2× 187 0.6× 63 0.2× 99 0.4× 39 1.3k
Jörg Ringel 670 0.9× 541 1.0× 181 0.5× 65 0.2× 223 0.9× 23 1.1k
Pierre Rudolph 607 0.8× 621 1.1× 335 1.0× 51 0.2× 91 0.4× 41 1.5k
Yuji Ichiyoshi 598 0.8× 627 1.1× 277 0.8× 58 0.2× 324 1.4× 57 1.8k

Countries citing papers authored by Beata Schlichtholz

Since Specialization
Citations

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

Fields of papers citing papers by Beata Schlichtholz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beata Schlichtholz

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

All Works

18 of 18 papers shown
1.
Schlichtholz, Beata, et al.. (2024). Post-Acute Sequelae and Mitochondrial Aberration in SARS-CoV-2 Infection. International Journal of Molecular Sciences. 25(16). 9050–9050. 1 indexed citations
2.
Schlichtholz, Beata, et al.. (2019). Tobacco carcinogens and the methionine metabolism in human bladder cancer. Mutation Research/Reviews in Mutation Research. 782. 108281–108281. 9 indexed citations
3.
Schlichtholz, Beata, et al.. (2018). Increased expression of the gene encoding stearoyl-CoA desaturase 1 in human bladder cancer. Molecular and Cellular Biochemistry. 447(1-2). 217–224. 24 indexed citations
4.
Schlichtholz, Beata, et al.. (2018). DNA damage and oxidative stress in long-lived aquatic organisms. DNA repair. 69. 14–23. 18 indexed citations
5.
Matuszewski, Marcin, et al.. (2017). Gene Expression, DNA Methylation and Prognostic Significance of DNA Repair Genes in Human Bladder Cancer. Cellular Physiology and Biochemistry. 42(6). 2404–2417. 10 indexed citations
6.
Turyn, Jacek, Marcin Matuszewski, & Beata Schlichtholz. (2006). Genomic instability analysis of urine sediment versus tumor tissue in transitional cell carcinoma of the urinary bladder. Oncology Reports. 15(1). 259–65. 15 indexed citations
7.
Schlichtholz, Beata, Jacek Turyn, Elżbieta Goyke, et al.. (2005). Enhanced Citrate Synthase Activity in Human Pancreatic Cancer. Pancreas. 30(2). 99–104. 85 indexed citations
8.
Dettlaff‐Pokora, Agnieszka, Marcin Matuszewski, & Beata Schlichtholz. (2004). Telomerase activity in urine sediments as a tool for noninvasive detection of bladder cancer. Cancer Letters. 222(1). 83–88. 13 indexed citations
9.
Schlichtholz, Beata. (2004). Clinical implications of p53 mutation analysis in bladder cancer tissue and urine sediment by functional assay in yeast. Carcinogenesis. 25(12). 2319–2323. 11 indexed citations
10.
Turyn, Jacek, Beata Schlichtholz, Agnieszka Dettlaff‐Pokora, et al.. (2003). Increased Activity of Glycerol 3-phosphate Dehydrogenase and Other Lipogenic Enzymes in Human Bladder Cancer. Hormone and Metabolic Research. 35(10). 565–569. 70 indexed citations
11.
Jassem, Ewa, Jacek Bigda, Rafał Dziadziuszko, et al.. (2001). Serum p53 antibodies in small cell lung cancer: the lack of prognostic relevance. Lung Cancer. 31(1). 17–23. 11 indexed citations
12.
Zalcman, Gérard, Jean Trédaniel, Beata Schlichtholz, et al.. (2000). Prognostic significance of serum p53 antibodies in patients with limited-stage small cell lung cancer. International Journal of Cancer. 89(1). 81–86. 36 indexed citations
13.
Zalcman, Gérard, Beata Schlichtholz, Jean Trédaniel, et al.. (1998). Monitoring of p53 autoantibodies in lung cancer during therapy: relationship to response to treatment.. PubMed. 4(6). 1359–66. 63 indexed citations
14.
Lubin, Richard, et al.. (1995). p53 antibodies in patients with various types of cancer: assay, identification, and characterization.. PubMed. 1(12). 1463–9. 117 indexed citations
15.
Schlichtholz, Beata, Jean Trédaniel, Richard Lubin, et al.. (1994). Analyses of p53 antibodies in sera of patients with lung carcinoma define immunodominant regions in the p53 protein. British Journal of Cancer. 69(5). 809–816. 128 indexed citations
16.
Soussi, Thierry, Yann Legros, Richard Lubin, Katherine Ory, & Beata Schlichtholz. (1994). Multifactorial analysis of p53 alteration in human cancer: A review. International Journal of Cancer. 57(1). 1–9. 312 indexed citations
17.
Lubin, Richard, Beata Schlichtholz, Gérard Zalcman, et al.. (1993). Analysis of p53 antibodies in patients with various cancers define B-cell epitopes of human p53: distribution on primary structure and exposure on protein surface.. PubMed. 53(24). 5872–6. 153 indexed citations
18.
Schlichtholz, Beata, Yann Legros, Daniel Gillet, et al.. (1992). The immune response to p53 in breast cancer patients is directed against immunodominant epitopes unrelated to the mutational hot spot.. PubMed. 52(22). 6380–4. 239 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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