This map shows the geographic impact of J Jassem'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 J Jassem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Jassem more than expected).
This network shows the impact of papers produced by J Jassem. 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 J Jassem. The network helps show where J Jassem may publish in the future.
Co-authorship network of co-authors of J Jassem
This figure shows the co-authorship network connecting the top 25 collaborators of J Jassem.
A scholar is included among the top collaborators of J Jassem 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 J Jassem. J Jassem is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zandwijk, Nico van, Paul Roepman, Sjaak A. Burgers, et al.. (2009). Expression of thymidylate synthase (TYMS) and Insulin growth factor 1 (IGF1) in completely-resected NSCLC patients: associations with histological subtype and prognosis. Pure Amsterdam UMC. 4(9).1 indexed citations
4.
Jassem, J, Johan Vansteenkiste, M. Zieliński, et al.. (2008). GENE EXPRESSION SIGNATURE IS A POTENTIAL PREDICTIVE FACTOR FOR EFFICACY OF MAGE-A3 ANTIGEN-SPECIFIC CANCER IMMUNOTHERAPEUTIC (ASCI) AS ADJUVANT THERAPY IN RESECTED STAGE IB/II NON-SMALL CELL LUNG CANCER (NSCLC). Annals of Oncology. 19. 61–61.2 indexed citations
Jassem, J, Maciej Bobowicz, Jan Marek Słomiński, & Ewa Jassem. (2007). The incidence of chronic obstructive pulmonary disease in advanced non-small cell lung cancer patients. 6(3). 99–102.5 indexed citations
7.
Chodorowski, Z, Jacek Sein Anand, J Jassem, et al.. (2007). [Late recurrence of malignant tumours 20 years after diagnosis and treatment].. PubMed. 64(4-5). 372–3.2 indexed citations
Wełnicka-Jaśkiewicz, Marzena, et al.. (1999). The occurrence of cerebellar hemangioblastoma in numerous first degree relatives with von Hippel-Lindau disease.. PubMed. 37(3). 175–8.4 indexed citations
14.
Wójcik, Janusz, et al.. (1998). [Platinum-based chemotherapy in renal transplant recipients with malignancies: a case report and review of literature].. PubMed. 5(27). 145–6.1 indexed citations
15.
Jassem, Ewa, R. Rosell, J Jassem, et al.. (1998). [Evaluation of the prognostic significance of P53 mutation in patients with non-small cell lung cancer].. PubMed. 66(5-6). 290–6.1 indexed citations
16.
Jassem, J, et al.. (1996). Sarcoma of the uterus. Archives of Gynecology and Obstetrics. 258(4). 171–180.14 indexed citations
17.
Senkus, Elżbieta, J Jassem, H Karnicka-Młodkowska, et al.. (1994). [Analysis of prognostic factors for long term survival in patients with small cell lung cancer].. PubMed. 62(5-6). 233–8.2 indexed citations
18.
Eckhardt, S., Krsto Kolarić, J Jassem, et al.. (1990). Phase II study of 4'-epi-doxorubicin in patients with untreated, extensive small cell lung cancer. South-East European Oncology Group (SEEOG).. PubMed. 7(1). 19–23.7 indexed citations
19.
Jassem, J & Krystyna Serkies. (1980). Skin reactivity to dinitrochlorobenzene in cancer patients.. PubMed. 27(5). 589–93.
20.
Jassem, J, et al.. (1980). [Autoantibodies in patients with malignant tumors].. PubMed. 29(4). 253–7.2 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.