Iva Truxová

1.7k total citations
24 papers, 1.2k citations indexed

About

Iva Truxová is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Iva Truxová has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 12 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Iva Truxová's work include Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (10 papers) and Cancer Immunotherapy and Biomarkers (9 papers). Iva Truxová is often cited by papers focused on Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (10 papers) and Cancer Immunotherapy and Biomarkers (9 papers). Iva Truxová collaborates with scholars based in Czechia, France and United States. Iva Truxová's co-authors include Radek Špíšek, Jitka Fučíková, Lorenzo Galluzzi, Lenka Kašíková, Simona Partlová, Anna Fialová, Michal Hensler, Irena Moserová, Lukáš Rob and Aleš Ryška and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Iva Truxová

23 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iva Truxová Czechia 16 729 648 299 104 94 24 1.2k
Toshiaki Yoshikawa Japan 21 752 1.0× 676 1.0× 564 1.9× 89 0.9× 117 1.2× 54 1.4k
Michael Campoli United States 20 817 1.1× 620 1.0× 383 1.3× 97 0.9× 78 0.8× 24 1.3k
Munehide Nakatsugawa Japan 21 683 0.9× 783 1.2× 672 2.2× 128 1.2× 193 2.1× 79 1.4k
Łukasz Magiera United Kingdom 7 610 0.8× 922 1.4× 455 1.5× 94 0.9× 251 2.7× 10 1.4k
Erik Bennink Netherlands 9 734 1.0× 560 0.9× 319 1.1× 113 1.1× 38 0.4× 9 1.2k
Stéphanie Corgnac France 16 938 1.3× 748 1.2× 339 1.1× 108 1.0× 104 1.1× 28 1.3k
Raquel Gomez-Eerland Netherlands 10 907 1.2× 913 1.4× 426 1.4× 72 0.7× 67 0.7× 14 1.4k
Chang Gon Kim South Korea 11 364 0.5× 470 0.7× 282 0.9× 130 1.3× 99 1.1× 15 893
Natalie B. Collins United States 10 826 1.1× 963 1.5× 775 2.6× 162 1.6× 189 2.0× 21 1.7k
Briana G. Nixon United States 15 563 0.8× 520 0.8× 502 1.7× 210 2.0× 204 2.2× 18 1.3k

Countries citing papers authored by Iva Truxová

Since Specialization
Citations

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

Fields of papers citing papers by Iva Truxová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iva Truxová

This figure shows the co-authorship network connecting the top 25 collaborators of Iva Truxová. A scholar is included among the top collaborators of Iva Truxová 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 Iva Truxová. Iva Truxová 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.
Truxová, Iva, Jana Raková, Cyril Šálek, et al.. (2023). Type I interferon signaling in malignant blasts contributes to treatment efficacy in AML patients. Cell Death and Disease. 14(3). 209–209. 15 indexed citations
2.
Truxová, Iva, David Cibula, Radek Špíšek, & Jitka Fučíková. (2023). Targeting tumor-associated macrophages for successful immunotherapy of ovarian carcinoma. Journal for ImmunoTherapy of Cancer. 11(2). e005968–e005968. 43 indexed citations
3.
Guilbaud, Emma, Vanessa Klapp, Iva Truxová, et al.. (2023). Type I interferon and cancer. Immunological Reviews. 321(1). 115–127. 55 indexed citations
4.
5.
Kašíková, Lenka, Michal Hensler, Iva Truxová, et al.. (2019). Calreticulin exposure correlates with robust adaptive antitumor immunity and favorable prognosis in ovarian carcinoma patients. Journal for ImmunoTherapy of Cancer. 7(1). 312–312. 60 indexed citations
6.
Kašíková, Lenka, Iva Truxová, Isabelle Cremer, et al.. (2019). Side-by-side comparison of flow cytometry and immunohistochemistry for detection of calreticulin exposure in the course of immunogenic cell death. Methods in enzymology on CD-ROM/Methods in enzymology. 632. 15–25. 3 indexed citations
7.
D’Amico, Lucia, Ulrike Menzel, Michael Prummer, et al.. (2019). A novel anti-HER2 anthracycline-based antibody-drug conjugate induces adaptive anti-tumor immunity and potentiates PD-1 blockade in breast cancer. Journal for ImmunoTherapy of Cancer. 7(1). 16–16. 89 indexed citations
8.
Truxová, Iva, Lenka Kašíková, Cyril Šálek, et al.. (2019). Calreticulin exposure on malignant blasts correlates with improved natural killer cell-mediated cytotoxicity in acute myeloid leukemia patients. Haematologica. 105(7). 1868–1878. 43 indexed citations
9.
Truxová, Iva, Lenka Kašíková, Cyril Šálek, et al.. (2019). Assessment of NK cell-mediated cytotoxicity by flow cytometry after rapid, high-yield isolation from peripheral blood. Methods in enzymology on CD-ROM/Methods in enzymology. 631. 277–287. 1 indexed citations
10.
Truxová, Iva, Lenka Kašíková, Michal Hensler, et al.. (2018). Mature dendritic cells correlate with favorable immune infiltrate and improved prognosis in ovarian carcinoma patients. Journal for ImmunoTherapy of Cancer. 6(1). 139–139. 144 indexed citations
11.
Ligtenberg, Maarten A., Yago Pico de Coaña, Yuya Yoshimoto, et al.. (2018). Self-Delivering RNAi Targeting PD-1 Improves Tumor-Specific T Cell Functionality for Adoptive Cell Therapy of Malignant Melanoma. Molecular Therapy. 26(6). 1482–1493. 39 indexed citations
12.
Fučíková, Jitka, Lenka Kašíková, Iva Truxová, et al.. (2017). Relevance of the chaperone-like protein calreticulin for the biological behavior and clinical outcome of cancer. Immunology Letters. 193. 25–34. 40 indexed citations
13.
Lövgren, Tanja, Dhifaf Sarhan, Iva Truxová, et al.. (2017). Enhanced stimulation of human tumor-specific T cells by dendritic cells matured in the presence of interferon-γ and multiple toll-like receptor agonists. Cancer Immunology Immunotherapy. 66(10). 1333–1344. 30 indexed citations
14.
Truxová, Iva, Michal Hensler, Petr Škapa, et al.. (2016). Rationale for the Combination of Dendritic Cell-Based Vaccination Approaches With Chemotherapy Agents. International review of cell and molecular biology. 330. 115–156. 25 indexed citations
15.
Fučíková, Jitka, Iva Truxová, Michal Hensler, et al.. (2016). Calreticulin exposure by malignant blasts correlates with robust anticancer immunity and improved clinical outcome in AML patients. Blood. 128(26). 3113–3124. 114 indexed citations
16.
17.
Fučíková, Jitka, Irena Moserová, Iva Truxová, et al.. (2014). High hydrostatic pressure induces immunogenic cell death in human tumor cells. International Journal of Cancer. 135(5). 1165–1177. 139 indexed citations
18.
19.
Partlová, Simona, J Bouček, Eva Lukešová, et al.. (2014). Distinct patterns of intratumoral immune cell infiltrates in patients with HPV-associated compared to non-virally induced head and neck squamous cell carcinoma. OncoImmunology. 4(1). e965570–e965570. 194 indexed citations
20.
Fučíková, Jitka, Irena Moserová, Iva Truxová, et al.. (2014). Article title: High hydrostatic pressure induces immunogenic cell death in human tumor cells.. 1 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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