Klára Sochorová

478 total citations
8 papers, 331 citations indexed

About

Klára Sochorová is a scholar working on Immunology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Klára Sochorová has authored 8 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 2 papers in Oncology and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Klára Sochorová's work include Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (4 papers) and T-cell and B-cell Immunology (3 papers). Klára Sochorová is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (4 papers) and T-cell and B-cell Immunology (3 papers). Klára Sochorová collaborates with scholars based in Czechia, France and Sweden. Klára Sochorová's co-authors include Jiřina Bartůňková, Radek Špíšek, Daniela Rožková, Rudolf Horváth, Jitka Fučíková, Zuzana Tobiásová, Anna Šedivá, Jiří Litzman, S Sulková and Zdeňka Gašová and has published in prestigious journals such as Blood, Methods in enzymology on CD-ROM/Methods in enzymology and Oncotarget.

In The Last Decade

Klára Sochorová

8 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Klára Sochorová Czechia 6 255 134 63 54 40 8 331
Ichwaku Rastogi United States 6 153 0.6× 121 0.9× 126 2.0× 57 1.1× 23 0.6× 13 337
Maider Garnica Spain 11 229 0.9× 299 2.2× 70 1.1× 54 1.0× 25 0.6× 20 423
Jianquan Hou China 7 175 0.7× 124 0.9× 67 1.1× 35 0.6× 16 0.4× 15 311
Jichang Han China 6 178 0.7× 167 1.2× 60 1.0× 37 0.7× 18 0.5× 13 299
Vanesa de Luque Spain 3 158 0.6× 255 1.9× 69 1.1× 38 0.7× 22 0.6× 3 336
Chun‐Jung Chang Taiwan 11 151 0.6× 134 1.0× 65 1.0× 105 1.9× 27 0.7× 15 347
Serena M. Lugli Switzerland 8 275 1.1× 94 0.7× 55 0.9× 26 0.5× 25 0.6× 9 393
Katharina H. Susek Sweden 7 149 0.6× 146 1.1× 59 0.9× 33 0.6× 11 0.3× 10 291
Stefanie Bugl Germany 8 164 0.6× 66 0.5× 85 1.3× 23 0.4× 21 0.5× 14 291
Lisa Boselli France 10 154 0.6× 281 2.1× 72 1.1× 83 1.5× 16 0.4× 13 383

Countries citing papers authored by Klára Sochorová

Since Specialization
Citations

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

Fields of papers citing papers by Klára Sochorová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Klára Sochorová

This figure shows the co-authorship network connecting the top 25 collaborators of Klára Sochorová. A scholar is included among the top collaborators of Klára Sochorová 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 Klára Sochorová. Klára Sochorová is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Sochorová, Klára, et al.. (2022). Detection, examination and therapy of sexual dysfunctions in patients with diabetes. Vnitřní lékařství. 68(3). E18–E21. 1 indexed citations
2.
Rožková, Daniela, Klára Sochorová, Lenka Palová-Jelínková, et al.. (2019). Methods to assess DC-dependent priming of T cell responses by dying cells. Methods in enzymology on CD-ROM/Methods in enzymology. 632. 55–65. 1 indexed citations
3.
Fučíková, Jitka, L. Jarolím, Michal Hensler, et al.. (2017). Phase I/II trial of dendritic cell-based active cellular immunotherapy with DCVAC/PCa in patients with rising PSA after primary prostatectomy or salvage radiotherapy for the treatment of prostate cancer. Cancer Immunology Immunotherapy. 67(1). 89–100. 35 indexed citations
4.
Horváth, Rudolf, Étienne Becht, Daniela Rožková, et al.. (2015). Phase I/II clinical trial of dendritic-cell based immunotherapy (DCVAC/PCa) combined with chemotherapy in patients with metastatic, castration-resistant prostate cancer. Oncotarget. 6(20). 18192–18205. 109 indexed citations
5.
Fučíková, Jitka, Daniela Rožková, Klára Sochorová, et al.. (2011). Poly I: C-activated dendritic cells that were generated in CellGro for use in cancer immunotherapy trials. Journal of Translational Medicine. 9(1). 223–223. 35 indexed citations
6.
Sochorová, Klára, Daniela Rožková, Zuzana Tobiásová, et al.. (2009). Paricalcitol (19-nor-1,25-dihydroxyvitamin D2) and calcitriol (1,25-dihydroxyvitamin D3) exert potent immunomodulatory effects on dendritic cells and inhibit induction of antigen-specific T cells. Clinical Immunology. 133(1). 69–77. 65 indexed citations
7.
Sochorová, Klára, Rudolf Horváth, Daniela Rožková, et al.. (2006). Impaired Toll-like receptor 8–mediated IL-6 and TNF-α production in antigen-presenting cells from patients with X-linked agammaglobulinemia. Blood. 109(6). 2553–2556. 70 indexed citations
8.
Tobiásová, Zuzana, Dagmar Pospı́šilová, Ashley M. Miller, et al.. (2006). In vitro assessment of dendritic cells pulsed with apoptotic tumor cells as a vaccine for ovarian cancer patients. Clinical Immunology. 122(1). 18–27. 15 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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