Witold Rzyman

3.4k total citations
110 papers, 1.8k citations indexed

About

Witold Rzyman is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Witold Rzyman has authored 110 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Pulmonary and Respiratory Medicine, 26 papers in Oncology and 22 papers in Molecular Biology. Recurrent topics in Witold Rzyman's work include Lung Cancer Diagnosis and Treatment (49 papers), Lung Cancer Treatments and Mutations (37 papers) and Lung Cancer Research Studies (12 papers). Witold Rzyman is often cited by papers focused on Lung Cancer Diagnosis and Treatment (49 papers), Lung Cancer Treatments and Mutations (37 papers) and Lung Cancer Research Studies (12 papers). Witold Rzyman collaborates with scholars based in Poland, United States and Spain. Witold Rzyman's co-authors include Jacek Jassem, Rafał Dziadziuszko, Tomasz Marjański, Ewa Jassem, Amelia Szymanowska, Robert Dziedzic, Marcin Skrzypski, Joanna Polańska, Grażyna Kobierska‐Gulida and Barbara Szostakiewicz and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.

In The Last Decade

Witold Rzyman

104 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Witold Rzyman Poland 25 1.0k 629 595 436 251 110 1.8k
Gavin Marx Australia 24 735 0.7× 466 0.7× 662 1.1× 471 1.1× 211 0.8× 100 1.8k
Edwin Herrmann Germany 21 653 0.6× 674 1.1× 396 0.7× 506 1.2× 297 1.2× 47 1.5k
Philipp Nuhn Germany 21 978 1.0× 656 1.0× 433 0.7× 427 1.0× 367 1.5× 104 1.8k
Jie Jin China 24 849 0.8× 676 1.1× 375 0.6× 310 0.7× 296 1.2× 103 1.7k
Sylvie Zanetta France 20 598 0.6× 529 0.8× 808 1.4× 251 0.6× 248 1.0× 63 1.5k
Yousheng Mao China 23 983 1.0× 662 1.1× 572 1.0× 406 0.9× 622 2.5× 163 2.1k
Chiara Ciccarese Italy 23 1.1k 1.1× 863 1.4× 803 1.3× 681 1.6× 421 1.7× 116 2.1k
Magdolna Dank Hungary 19 499 0.5× 419 0.7× 730 1.2× 394 0.9× 242 1.0× 120 1.5k
Jesco Pfitzenmaier Germany 21 753 0.7× 541 0.9× 390 0.7× 277 0.6× 265 1.1× 58 1.6k

Countries citing papers authored by Witold Rzyman

Since Specialization
Citations

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

Fields of papers citing papers by Witold Rzyman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Witold Rzyman

This figure shows the co-authorship network connecting the top 25 collaborators of Witold Rzyman. A scholar is included among the top collaborators of Witold Rzyman 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 Witold Rzyman. Witold Rzyman 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.
Rzyman, Witold, et al.. (2023). Trimodality Treatment of Superior Sulcus Non-Small Cell Lung Cancer: An Institutional Series of 47 Consecutive Patients. Current Oncology. 30(5). 4551–4562. 3 indexed citations
2.
Urban‐Wójciuk, Zuzanna, et al.. (2022). What Inhibits Natural Killers’ Performance in Tumour. International Journal of Molecular Sciences. 23(13). 7030–7030. 7 indexed citations
3.
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5.
Urban‐Wójciuk, Zuzanna, Małgorzata Kurkowiak, Jacek Kowalski, et al.. (2020). Adoptive Cell Therapy—Harnessing Antigen-Specific T Cells to Target Solid Tumours. Cancers. 12(3). 683–683. 36 indexed citations
6.
Krzakowski, Maciej, Piotr Rutkowski, Jacek Jassem, et al.. (2015). Recommendations on the application of positron emission tomography in oncology. Oncology in Clinical Practice. 11(4). 155–172. 1 indexed citations
7.
Rzyman, Witold, et al.. (2015). Results of an open-access lung cancer screening program with low-dose computed tomography: the Gdańsk experience. Polskie Archiwum Medycyny Wewnętrznej. 125(4). 232–239. 14 indexed citations
8.
Marjański, Tomasz, et al.. (2015). Result of the 6-Minute Walk Test is an Independent Prognostic Factor of Surgically Treated Non-Small Cell Lung Cancer. Annals of Oncology. 26. i18–i18. 2 indexed citations
9.
Jassem, Jacek, Wojciech Biernat, Maciej Bryl, et al.. (2014). The role of systemic therapies of non-small cell lung cancer and malignant pleural mesothelioma: updated expert recommendations. Oncology in Clinical Practice. 10(1). 1–15. 1 indexed citations
10.
Skrzypski, Marcin, Rafał Dziadziuszko, Ewa Jassem, et al.. (2013). Main Histologic Types of Non–Small-Cell Lung Cancer Differ in Expression of Prognosis-related Genes. Clinical Lung Cancer. 14(6). 666–673.e2. 32 indexed citations
11.
Dziedzic, Robert, et al.. (2012). Bronchial sleeve resection with complete pulmonary preservation. 9(2). 210–215.
12.
Glubb, Dylan M., Elisa Cerri, Wei Zhang, et al.. (2011). Novel Functional Germline Variants in the VEGF Receptor 2 Gene and Their Effect on Gene Expression and Microvessel Density in Lung Cancer. Clinical Cancer Research. 17(16). 5257–5267. 65 indexed citations
13.
Skrzypski, Marcin, Rafał Dziadziuszko, Amelia Szymanowska, et al.. (2011). The risk of distant metastases and prognosis prediction in early stage squamous cell lung cancer (SqCLC) by means of 3 microRNAs expression assessment. European Respiratory Journal. 38(Suppl 55). p1953–p1953. 1 indexed citations
14.
Jassem, Jacek, Wojciech Biernat, Rafał Dziadziuszko, et al.. (2010). Uaktualnione zalecenia dotyczące systemowego leczenia niedrobnokomórkowego raka płuca i złośliwego międzybłoniaka opłucnej. Nowotwory Journal of Oncology. 4(3). 139–153. 1 indexed citations
15.
Badzio, A., Murry W. Wynes, Rafał Dziadziuszko, et al.. (2010). Increased Insulin-Like Growth Factor 1 Receptor Protein Expression and Gene Copy Number in Small Cell Lung Cancer. Journal of Thoracic Oncology. 5(12). 1905–1911. 47 indexed citations
16.
Skrzypski, Marcin, Ewa Jassem, Miquel Tarón, et al.. (2008). Three-Gene Expression Signature Predicts Survival in Early-Stage Squamous Cell Carcinoma of the Lung. Clinical Cancer Research. 14(15). 4794–4799. 84 indexed citations
17.
Roepman, Paul, Jacek Jassem, Egbert F. Smit, et al.. (2008). An Immune Response Enriched 72-Gene Prognostic Profile for Early-Stage Non–Small-Cell Lung Cancer. Clinical Cancer Research. 15(1). 284–290. 114 indexed citations
18.
Dziadziuszko, Rafał, Anna Siemiątkowska, Janusz Limon, et al.. (2007). Unusual Chemosensitivity of Advanced Bronchioalveolar Carcinoma after Gefitinib Response and Progression: A Case Report. Journal of Thoracic Oncology. 2(1). 91–92. 3 indexed citations
19.
Dziadziuszko, Rafał, Daniel T. Merrick, Barbara Szostakiewicz, et al.. (2007). P2-073: High insulin-like growth factor 1 receptor (IGF1R) expression is associated with poor survival in surgically treated patients with non-small cell lung cancer (NSCLC). Journal of Thoracic Oncology. 2(8). S519–S519. 3 indexed citations
20.
Rzyman, Witold, et al.. (2006). Operacje bronchoplastyczne u chorych na rakowiaka oskrzela. 36(1). 175–181.

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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