Janusz Ryś

5.8k total citations · 1 hit paper
170 papers, 4.0k citations indexed

About

Janusz Ryś is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Janusz Ryś has authored 170 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Oncology, 59 papers in Pulmonary and Respiratory Medicine and 43 papers in Cancer Research. Recurrent topics in Janusz Ryś's work include Sarcoma Diagnosis and Treatment (33 papers), Breast Cancer Treatment Studies (23 papers) and Breast Lesions and Carcinomas (21 papers). Janusz Ryś is often cited by papers focused on Sarcoma Diagnosis and Treatment (33 papers), Breast Cancer Treatment Studies (23 papers) and Breast Lesions and Carcinomas (21 papers). Janusz Ryś collaborates with scholars based in Poland, United States and Germany. Janusz Ryś's co-authors include Jerzy Lasota, Markku Miettinen, Jerzy Mituś, Maarit Sarlomo‐Rikala, Marian Reinfuss, Wojciech Biernat, Zengfeng Wang, Peter A. McCue, K Smolak and K Duda and has published in prestigious journals such as PLoS ONE, Cancer and Cancer Research.

In The Last Decade

Janusz Ryś

163 papers receiving 3.9k citations

Hit Papers

GATA3 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janusz Ryś Poland 30 1.5k 1.3k 1.0k 855 835 170 4.0k
Luigi Insabato Italy 43 1.1k 0.7× 996 0.8× 1.5k 1.5× 665 0.8× 946 1.1× 222 5.6k
Shigeki Sekine Japan 47 1.8k 1.2× 2.3k 1.7× 2.0k 2.0× 1.1k 1.3× 2.1k 2.5× 188 6.2k
Takahiro Hasebe Japan 40 944 0.6× 2.5k 1.8× 1.4k 1.4× 1.0k 1.2× 1.1k 1.3× 173 4.8k
Toshitaka Nagao Japan 39 1.3k 0.8× 2.5k 1.9× 1.0k 1.0× 850 1.0× 2.7k 3.2× 244 5.6k
Yoshiaki Inayama Japan 35 1.5k 1.0× 1.2k 0.9× 1.2k 1.2× 440 0.5× 1.0k 1.2× 194 3.9k
Manuel Rodriguez‐Justo United Kingdom 45 1.2k 0.8× 1.9k 1.5× 1.4k 1.4× 794 0.9× 2.5k 3.0× 174 6.4k
Mercè Jordà United States 33 1.3k 0.9× 1.0k 0.8× 855 0.9× 264 0.3× 977 1.2× 157 3.2k
Xavier Sagaert Belgium 35 996 0.7× 2.2k 1.6× 1.4k 1.4× 1.4k 1.6× 929 1.1× 118 4.9k
Hyojin Kim South Korea 33 1.6k 1.1× 2.2k 1.6× 1.1k 1.1× 395 0.5× 731 0.9× 178 4.3k
Teiichi Motoyama Japan 40 935 0.6× 1.1k 0.8× 3.1k 3.1× 782 0.9× 1.3k 1.5× 185 5.8k

Countries citing papers authored by Janusz Ryś

Since Specialization
Citations

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

Fields of papers citing papers by Janusz Ryś

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janusz Ryś

This figure shows the co-authorship network connecting the top 25 collaborators of Janusz Ryś. A scholar is included among the top collaborators of Janusz Ryś 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 Janusz Ryś. Janusz Ryś 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.
Sznurkowski, Jacek Jan, Janusz Ryś, Artur Kowalik, et al.. (2023). The Polish Society of Gynecological Oncology Guidelines for the Diagnosis and Treatment of Endometrial Carcinoma (2023). Journal of Clinical Medicine. 12(4). 1480–1480. 5 indexed citations
2.
Brożyna, Anna A., et al.. (2023). Vemurafenib and Dabrafenib Downregulates RIPK4 Level. Cancers. 15(3). 918–918. 10 indexed citations
3.
Kłęk, Stanisław, et al.. (2023). Cancer Care to Ukrainian War Refugees in Poland. JAMA Network Open. 6(7). e2321967–e2321967. 2 indexed citations
4.
Biesaga, Beata, Ryszard Smolarczyk, Anna Mucha-Małecka, et al.. (2022). Prognostic Significance of STING Immunoexpression in Relation to HPV16 Infection in Patients with Squamous Cell Carcinomas of Oral Cavity and Oropharynx. Biomedicines. 10(10). 2538–2538. 6 indexed citations
5.
Ryś, Janusz, et al.. (2022). MCPIP1 regulates focal adhesion kinase and Rho GTPase-dependent migration in clear cell renal cell carcinoma. European Journal of Pharmacology. 922. 174804–174804. 3 indexed citations
6.
Wróblewska, Joanna, Dora Dias‐Santagata, Masakazu Fujimoto, et al.. (2021). Prognostic Roles of BRAF, KIT, NRAS, IGF2R and SF3B1 Mutations in Mucosal Melanomas. Cells. 10(9). 2216–2216. 13 indexed citations
8.
Donizy, Piotr, Joanna Wróblewska, Dora Dias‐Santagata, et al.. (2021). Merkel Cell Carcinoma of Unknown Primary: Immunohistochemical and Molecular Analyses Reveal Distinct UV-Signature/MCPyV-Negative and High Immunogenicity/MCPyV-Positive Profiles. Cancers. 13(7). 1621–1621. 12 indexed citations
9.
Ratajska, Magdalena, George A. R. Wiggins, Bożena Cybulska-Stopa, et al.. (2021). Differential Expression of BARD1 Isoforms in Melanoma. Genes. 12(2). 320–320. 4 indexed citations
10.
Ryś, Janusz, et al.. (2017). MCPIP1 Downregulation in Clear Cell Renal Cell Carcinoma Promotes Vascularization and Metastatic Progression. Cancer Research. 77(18). 4905–4920. 67 indexed citations
11.
Niemiec, Joanna, Agnieszka Adamczyk, Aleksandra Ambicka, et al.. (2017). Prognostic role of lymphatic vessel density and lymphovascular invasion in chemotherapy-naive and chemotherapy-treated patients with invasive breast cancer.. PubMed Central. 9(3). 1435–1447. 11 indexed citations
12.
Lipert, Barbara, Katarzyna Miękus, Janusz Jaszczyński, et al.. (2017). MCPIP1 contributes to clear cell renal cell carcinomas development. Angiogenesis. 20(3). 325–340. 56 indexed citations
13.
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
14.
Niemiec, Joanna, Agnieszka Adamczyk, Krzysztof Małecki, Aleksandra Ambicka, & Janusz Ryś. (2013). Tumor Grade and Matrix Metalloproteinase 2 Expression in Stromal Fibroblasts Help to Stratify the High-Risk Group of Patients With Early Breast Cancer Identified on the Basis of St Gallen Recommendations. Clinical Breast Cancer. 13(2). 119–128. 16 indexed citations
15.
Niemiec, Joanna, Agnieszka Adamczyk, Aleksandra Ambicka, et al.. (2013). Triple-negative, Basal Marker-expressing, and High-grade Breast Carcinomas are Characterized by High Lymphatic Vessel Density and the Expression of Podoplanin in Stromal Fibroblasts. Applied immunohistochemistry & molecular morphology. 22(1). 10–16. 13 indexed citations
16.
Marczyk, Elżbieta, Anna Kruczak, Aleksandra Ambicka, et al.. (2011). The routine immunohistochemical evaluation in Paget disease of the nipple.. PubMed. 62(4). 229–35. 8 indexed citations
17.
Olszewski, Wojciech, Ewa Chmielik, & Janusz Ryś. (2011). [Pathomorphologic patient selection for systemic therapy].. PubMed. 62(4 Suppl 4). s28–33. 1 indexed citations
18.
Ruka, W., Piotr Rutkowski, Maciej Krzakowski, et al.. (2009). Soft tissue sarcoma - diagnosis and treatment. Oncology in Clinical Practice. 5(5). 198–210. 6 indexed citations
19.
Jakubowicz, Jerzy, et al.. (2009). Uterine sarcomas - an evaluation of treatment results and prognostic factors. Archives of Medical Science. 5(2). 215–221. 1 indexed citations
20.
Skotnicki, Piotr, Janusz Ryś, Jerzy Jakubowicz, & Paweł Blecharz. (2008). Czy odmiana mikroskopowa inwazyjnego zrazikowego raka piersi ma znaczenie prognostyczne. 2(2). 17–21.

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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