Joanna Moes-Sosnowska

1.7k total citations
17 papers, 355 citations indexed

About

Joanna Moes-Sosnowska is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Joanna Moes-Sosnowska has authored 17 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Pulmonary and Respiratory Medicine and 4 papers in Cancer Research. Recurrent topics in Joanna Moes-Sosnowska's work include Lung Cancer Treatments and Mutations (6 papers), RNA modifications and cancer (5 papers) and DNA Repair Mechanisms (4 papers). Joanna Moes-Sosnowska is often cited by papers focused on Lung Cancer Treatments and Mutations (6 papers), RNA modifications and cancer (5 papers) and DNA Repair Mechanisms (4 papers). Joanna Moes-Sosnowska collaborates with scholars based in Poland, Georgia and United States. Joanna Moes-Sosnowska's co-authors include Jolanta Kupryjańczyk, Agnieszka Dansonka‐Mieszkowska, Alina Rembiszewska, Joanna Chorostowska‐Wynimko, Lukasz M. Szafron, Dorota Nowakowska, Iwona K. Rzepecka, Anna Niwińska, Anna Kluska and Krzysztof Cendrowski and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Neuroscience.

In The Last Decade

Joanna Moes-Sosnowska

17 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joanna Moes-Sosnowska Poland 9 245 130 90 82 76 17 355
Katarzyna Klonowska Poland 12 258 1.1× 64 0.5× 134 1.5× 102 1.2× 122 1.6× 20 452
Anjila Koul Sweden 6 249 1.0× 102 0.8× 97 1.1× 156 1.9× 91 1.2× 7 421
Alexandra E. Gylfe Finland 10 201 0.8× 148 1.1× 67 0.7× 111 1.4× 104 1.4× 14 334
Ilya V. Bizin Russia 12 140 0.6× 81 0.6× 130 1.4× 83 1.0× 89 1.2× 30 311
Sharmini Alagaratnam Norway 10 271 1.1× 46 0.4× 57 0.6× 74 0.9× 80 1.1× 14 408
Annemieke H. van der Hout Netherlands 8 227 0.9× 33 0.3× 223 2.5× 59 0.7× 88 1.2× 13 451
Paul R. Duncan United States 6 100 0.4× 128 1.0× 160 1.8× 107 1.3× 49 0.6× 11 357
Corinne Serruya Canada 5 218 0.9× 94 0.7× 310 3.4× 93 1.1× 172 2.3× 6 520
Elizabeth L. Schubert United States 8 241 1.0× 85 0.7× 251 2.8× 125 1.5× 171 2.3× 9 466
Chi Wai Wong Hong Kong 7 303 1.2× 96 0.7× 44 0.5× 130 1.6× 57 0.8× 12 447

Countries citing papers authored by Joanna Moes-Sosnowska

Since Specialization
Citations

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

Fields of papers citing papers by Joanna Moes-Sosnowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joanna Moes-Sosnowska. 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 Joanna Moes-Sosnowska. The network helps show where Joanna Moes-Sosnowska may publish in the future.

Co-authorship network of co-authors of Joanna Moes-Sosnowska

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

All Works

17 of 17 papers shown
1.
Szpechciński, Adam, Joanna Moes-Sosnowska, Urszula Lechowicz, et al.. (2024). The Advantage of Targeted Next-Generation Sequencing over qPCR in Testing for Druggable EGFR Variants in Non-Small-Cell Lung Cancer. International Journal of Molecular Sciences. 25(14). 7908–7908. 3 indexed citations
2.
Moes-Sosnowska, Joanna, Adam Szpechciński, & Joanna Chorostowska‐Wynimko. (2023). Clinical significance of TP53 alterations in advanced NSCLC patients treated with EGFR, ALK and ROS1 tyrosine kinase inhibitors: An update. Tumor Biology. 46(s1). S309–S325. 12 indexed citations
3.
Dansonka‐Mieszkowska, Agnieszka, Anna Stachurska, Piotr Sobiczewski, et al.. (2022). PROM1, CXCL8, RUNX1, NAV1 and TP73 genes as independent markers predictive of prognosis or response to treatment in two cohorts of high-grade serous ovarian cancer patients. PLoS ONE. 17(7). e0271539–e0271539. 7 indexed citations
4.
Moes-Sosnowska, Joanna & Joanna Chorostowska‐Wynimko. (2022). Fibroblast Growth Factor Receptor 1-4 Genetic Aberrations as Clinically Relevant Biomarkers in Squamous Cell Lung Cancer. Frontiers in Oncology. 12. 780650–780650. 16 indexed citations
5.
Moes-Sosnowska, Joanna, Urszula Lechowicz, Renata Langfort, et al.. (2022). FGFR1–4 RNA-Based Gene Alteration and Expression Analysis in Squamous Non-Small Cell Lung Cancer. International Journal of Molecular Sciences. 23(18). 10506–10506. 7 indexed citations
6.
Szpechciński, Adam, Maciej Bryl, Grzegorz Czyżewicz, et al.. (2021). Detection of EGFR mutations in liquid biopsy samples using allele-specific quantitative PCR: A comparative real-world evaluation of two popular diagnostic systems. Advances in Medical Sciences. 66(2). 336–342. 10 indexed citations
7.
Moes-Sosnowska, Joanna, et al.. (2020). 1409P Comparing different methods of FGFR1 aberrations analysis in squamous cell lung cancer (SqCLC) targeted therapy. Annals of Oncology. 31. S891–S891. 1 indexed citations
8.
Moes-Sosnowska, Joanna, et al.. (2019). FGFR1-4 and MET expression analysis and evaluation of reliable reference genes in Sq-NSCLC. Lung Cancer. PA3665–PA3665. 1 indexed citations
9.
Moes-Sosnowska, Joanna, Iwona K. Rzepecka, Agnieszka Dansonka‐Mieszkowska, et al.. (2019). Clinical importance of FANCD2, BRIP1, BRCA1, BRCA2 and FANCF expression in ovarian carcinomas. Cancer Biology & Therapy. 20(6). 843–854. 21 indexed citations
10.
Szpechciński, Adam, Joanna Moes-Sosnowska, Urszula Lechowicz, et al.. (2019). The EGFR mutation detection in NSCLC by Next Generation Sequencing (NGS): cons and pros. PA4059–PA4059. 2 indexed citations
11.
Dansonka‐Mieszkowska, Agnieszka, Lukasz M. Szafron, Joanna Moes-Sosnowska, et al.. (2018). Clinical importance of the EMSY gene expression and polymorphisms in ovarian cancer. Oncotarget. 9(25). 17735–17755. 4 indexed citations
12.
Moes-Sosnowska, Joanna, Lukasz M. Szafron, Dorota Nowakowska, et al.. (2015). Germline SMARCA4 mutations in patients with ovarian small cell carcinoma of hypercalcemic type. Orphanet Journal of Rare Diseases. 10(1). 32–32. 20 indexed citations
13.
Moes-Sosnowska, Joanna, Agnieszka Budziłowska, & Jolanta Kupryjańczyk. (2015). Analiza mutacji i polimorfizmów w genie FANCD2 u pacjentek chorych na raka jajnika z populacji polskiej. Nowotwory Journal of Oncology. 65(1). 7–13. 1 indexed citations
14.
Kupryjańczyk, Jolanta, Agnieszka Dansonka‐Mieszkowska, Joanna Moes-Sosnowska, et al.. (2013). Ovarian small cell carcinoma of hypercalcemic type – evidence of germline origin and smarca4 gene inactivation. a pilot study. Polish Journal of Pathology. 4(4). 238–246. 80 indexed citations
15.
Jeong, Younhee, et al.. (2012). The posterior hypothalamus exerts opposing effects on nociception via the A7 catecholamine cell group in rats. Neuroscience. 227. 144–153. 11 indexed citations
16.
Dansonka‐Mieszkowska, Agnieszka, Anna Kluska, Joanna Moes-Sosnowska, et al.. (2010). A novel germline PALB2 deletion in Polish breast and ovarian cancer patients. BMC Medical Genetics. 11(1). 20–20. 89 indexed citations
17.
Rembiszewska, Alina, Magdalena Murawska, Joanna Moes-Sosnowska, et al.. (2009). PIK3CA amplification associates with resistance to chemotherapy in ovarian cancer patients. Cancer Biology & Therapy. 8(1). 21–26. 70 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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