Igor Cima

1.4k total citations
22 papers, 740 citations indexed

About

Igor Cima is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Igor Cima has authored 22 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Immunology and 7 papers in Cancer Research. Recurrent topics in Igor Cima's work include Immune Cell Function and Interaction (4 papers), Cancer Genomics and Diagnostics (4 papers) and Hormonal Regulation and Hypertension (4 papers). Igor Cima is often cited by papers focused on Immune Cell Function and Interaction (4 papers), Cancer Genomics and Diagnostics (4 papers) and Hormonal Regulation and Hypertension (4 papers). Igor Cima collaborates with scholars based in Switzerland, Singapore and Germany. Igor Cima's co-authors include Thomas Brunner, Andrea Fuhrer, Sabine Jakob, Nadia Corazza, Kristina Schoonjans, Christoph Mueller, Bernhard Dick, Florina Silvia Iliescu, Wai Min Phyo and Ciprian Iliescu and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Annals of Surgery.

In The Last Decade

Igor Cima

22 papers receiving 731 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Igor Cima Switzerland 14 222 209 146 142 126 22 740
Mat Rousch Netherlands 15 372 1.7× 137 0.7× 309 2.1× 109 0.8× 40 0.3× 23 922
Rick Kamps Netherlands 16 495 2.2× 94 0.4× 218 1.5× 199 1.4× 71 0.6× 26 1.1k
Stewart G. Neill United States 16 417 1.9× 98 0.5× 70 0.5× 126 0.9× 69 0.5× 57 978
Lyudmila Velikokhatnaya United States 10 295 1.3× 315 1.5× 265 1.8× 107 0.8× 46 0.4× 10 782
Hanna Pinças United States 16 567 2.6× 207 1.0× 108 0.7× 237 1.7× 27 0.2× 36 1.0k
Elizabeth V. Nguyen United States 16 303 1.4× 109 0.5× 54 0.4× 115 0.8× 39 0.3× 27 635
Valeria Giandomenico Sweden 23 578 2.6× 724 3.5× 229 1.6× 141 1.0× 70 0.6× 40 1.4k
Darshini Kuruppu United States 16 287 1.3× 185 0.9× 43 0.3× 64 0.5× 51 0.4× 29 750
Laudine Communal Canada 17 286 1.3× 216 1.0× 161 1.1× 113 0.8× 37 0.3× 24 712
Hila Barash Israel 17 356 1.6× 95 0.5× 113 0.8× 57 0.4× 55 0.4× 25 880

Countries citing papers authored by Igor Cima

Since Specialization
Citations

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

Fields of papers citing papers by Igor Cima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor Cima

This figure shows the co-authorship network connecting the top 25 collaborators of Igor Cima. A scholar is included among the top collaborators of Igor Cima 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 Igor Cima. Igor Cima 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.
Baginska, Anna, Igor Cima, Sied Kebir, et al.. (2023). KDM5B predicts temozolomide-resistant subclones in glioblastoma. iScience. 27(1). 108596–108596. 2 indexed citations
2.
Lu, I‐Na, Laurèl Rauschenbach, Sarah Teuber‐Hanselmann, et al.. (2021). Tumor-associated hematopoietic stem and progenitor cells positively linked to glioblastoma progression. Nature Communications. 12(1). 3895–3895. 35 indexed citations
3.
Metzenmacher, Martin, Renáta Váraljai, Balázs Hegedűs, et al.. (2020). Plasma Next Generation Sequencing and Droplet Digital-qPCR-Based Quantification of Circulating Cell-Free RNA for Noninvasive Early Detection of Cancer. Cancers. 12(2). 353–353. 29 indexed citations
4.
5.
Iliescu, Florina Silvia, Daniel Puiu Poenar, Yu Fang, et al.. (2019). Recent advances in microfluidic methods in cancer liquid biopsy. Biomicrofluidics. 13(4). 41503–41503. 38 indexed citations
6.
Kong, Say Li, Xingliang Liu, Min Hu, et al.. (2017). Molecular characterization of circulating colorectal tumor cells defines genetic signatures for individualized cancer care. Oncotarget. 8(40). 68026–68037. 15 indexed citations
7.
Tan, Wai Jin, Igor Cima, Yukti Choudhury, et al.. (2016). A five-gene reverse transcription-PCR assay for pre-operative classification of breast fibroepithelial lesions. Breast Cancer Research. 18(1). 31–31. 19 indexed citations
8.
Phyo, Wai Min, Igor Cima, Wei Lin Goh, et al.. (2015). Non‐invasive sensitive detection of KRAS and BRAF mutation in circulating tumor cells of colorectal cancer patients. Molecular Oncology. 9(4). 850–860. 48 indexed citations
9.
Cima, Igor, Florina Silvia Iliescu, Wai Min Phyo, et al.. (2013). Label-free isolation of circulating tumor cells in microfluidic devices: Current research and perspectives. Biomicrofluidics. 7(1). 11810–11810. 90 indexed citations
10.
Boysen, Gunther, Damaris Bausch‐Fluck, Claudio R. Thoma, et al.. (2012). Identification and Functional Characterization of pVHL-Dependent Cell Surface Proteins in Renal Cell Carcinoma. Neoplasia. 14(6). 535–IN17. 39 indexed citations
11.
Cima, Igor, Ralph Schiess, Niklaus Fankhauser, et al.. (2011). Novel Prognostic Markers in the Serum of Patients With Castration-Resistant Prostate Cancer Derived From Quantitative Analysis of the Pten Conditional Knockout Mouse Proteome. European Urology. 60(6). 1235–1243. 42 indexed citations
12.
Coppieters, Frauke, Elise Héon, Igor Cima, et al.. (2009). Exploring the Role of Genes of the Retinal Transcription Network in Retinal Degeneration. Investigative Ophthalmology & Visual Science. 50(13). 3745–3745. 1 indexed citations
13.
Müeller, Matthias, et al.. (2007). Differential regulation of glucocorticoid synthesis in murine intestinal epithelial versus adrenocortical cell lines. 148(3). 1445–1453. 1 indexed citations
14.
Cima, Igor, Andrea Fuhrer, & Thomas Brunner. (2006). Antagonistic and synergistic effects of glucocorticoids and IL-7 on CD4+ T cell activation. Immunology Letters. 106(1). 99–102. 4 indexed citations
15.
Mueller, Matthias, Igor Cima, Mario Noti, et al.. (2006). The nuclear receptor LRH-1 critically regulates extra-adrenal glucocorticoid synthesis in the intestine. The Journal of Experimental Medicine. 203(9). 2057–2062. 105 indexed citations
16.
Köninger, Jörg, Peter Baláž, Markus Wagner, et al.. (2005). Phosphatidylserine Receptor in Chronic Pancreatitis. Annals of Surgery. 241(1). 144–151. 16 indexed citations
17.
Cima, Igor, Nadia Corazza, Bernhard Dick, et al.. (2004). Intestinal Epithelial Cells Synthesize Glucocorticoids and Regulate T Cell Activation. The Journal of Experimental Medicine. 200(12). 1635–1646. 155 indexed citations
18.
Corazza, Nadia, et al.. (2004). TRAIL and immunity: more than a license to kill tumor cells. Cell Death and Differentiation. 11(S2). S122–S125. 11 indexed citations
19.
Juillard, Pierre, Pierre Graber, Igor Cima, et al.. (2002). IL‐18‐independent cytotoxic T lymphocyte activation and IFN‐γ production during experimental acute graft‐versus‐host disease. International Immunology. 14(5). 503–511. 13 indexed citations
20.
Krmek, Silvana Jukić, et al.. (1999). Morphology of gonads in pure XY gonadal dysgenesis.. PubMed. 23(1). 203–11. 12 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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