Eva Cecrdlova

574 total citations · 1 hit paper
9 papers, 371 citations indexed

About

Eva Cecrdlova is a scholar working on Transplantation, Immunology and Surgery. According to data from OpenAlex, Eva Cecrdlova has authored 9 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Transplantation, 6 papers in Immunology and 2 papers in Surgery. Recurrent topics in Eva Cecrdlova's work include Renal Transplantation Outcomes and Treatments (6 papers), Reproductive System and Pregnancy (2 papers) and Complement system in diseases (2 papers). Eva Cecrdlova is often cited by papers focused on Renal Transplantation Outcomes and Treatments (6 papers), Reproductive System and Pregnancy (2 papers) and Complement system in diseases (2 papers). Eva Cecrdlova collaborates with scholars based in Czechia and United Kingdom. Eva Cecrdlova's co-authors include Ilja Střı́ž, Robin Bartolini, René Novysedlák, Iva Benešová, Zuzana Střížová, Lily Koumbas Foley, Ondřej Viklický, Alena Sekerková, Petra Hrubá and Eva Honsová and has published in prestigious journals such as Clinical Science, Cytokine and Immunology Letters.

In The Last Decade

Eva Cecrdlova

9 papers receiving 368 citations

Hit Papers

M1/M2 macrophages and their overlaps – myth or reality? 2023 2026 2024 2025 2023 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Cecrdlova Czechia 6 173 88 42 41 37 9 371
Karin Koekkoek Netherlands 8 291 1.7× 99 1.1× 33 0.8× 17 0.4× 36 1.0× 12 424
Chenming Sun China 9 216 1.2× 73 0.8× 27 0.6× 20 0.5× 40 1.1× 13 349
René Novysedlák Czechia 5 144 0.8× 81 0.9× 44 1.0× 10 0.2× 38 1.0× 13 341
Shunsuke Ohori United States 10 150 0.9× 80 0.9× 72 1.7× 46 1.1× 50 1.4× 16 313
Jinzhen Cai China 13 125 0.7× 140 1.6× 96 2.3× 30 0.7× 48 1.3× 38 412
Songjie Cai Japan 13 211 1.2× 150 1.7× 159 3.8× 45 1.1× 44 1.2× 30 518
Maja Buszko United States 10 178 1.0× 140 1.6× 38 0.9× 8 0.2× 41 1.1× 14 443
Wen Shi China 13 189 1.1× 95 1.1× 42 1.0× 7 0.2× 52 1.4× 21 387
Erica G. Schmitt United States 8 546 3.2× 94 1.1× 31 0.7× 12 0.3× 88 2.4× 12 666
Kishore R. Anekalla United States 10 147 0.8× 187 2.1× 74 1.8× 12 0.3× 27 0.7× 14 433

Countries citing papers authored by Eva Cecrdlova

Since Specialization
Citations

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

Fields of papers citing papers by Eva Cecrdlova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Cecrdlova

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

All Works

9 of 9 papers shown
1.
Cecrdlova, Eva, et al.. (2024). Insights into IL-1 family cytokines in kidney allograft transplantation: IL-18BP and free IL-18 as emerging biomarkers. Cytokine. 180. 156660–156660. 1 indexed citations
2.
Střížová, Zuzana, Iva Benešová, Robin Bartolini, et al.. (2023). M1/M2 macrophages and their overlaps – myth or reality?. Clinical Science. 137(15). 1067–1093. 299 indexed citations breakdown →
3.
Cecrdlova, Eva, et al.. (2021). Chemokine Profiles Are Affected in Serum of Patients with Acute Rejection of Kidney Allograft. Mediators of Inflammation. 2021(1). 5513690–5513690. 9 indexed citations
4.
Cecrdlova, Eva, et al.. (2021). Changes in Phenotypic Patterns of Blood Monocytes After Kidney Transplantation and During Acute Rejection. Physiological Research. 709–721. 5 indexed citations
5.
Cecrdlova, Eva, et al.. (2021). Changes in phenotypic patterns of blood monocytes after kidney transplantation and during acute rejection.. PubMed. 70(5). 709–721. 6 indexed citations
6.
Cecrdlova, Eva, et al.. (2020). Up-Regulation of CD163 Expression in Subpopulations of Blood Monocytes After Kidney Allograft Transplantation. Physiological Research. 69(5). 885–896. 4 indexed citations
7.
Sekerková, Alena, Petra Hrubá, Eva Cecrdlova, et al.. (2016). Dynamic changes of B-cell compartments in kidney transplantation: lack of transitional B cells is associated with allograft rejection. Transplant International. 29(5). 540–548. 37 indexed citations
8.
Cecrdlova, Eva, Kateřina Petřı́čková, Libor Kolesár, et al.. (2015). Manumycin A downregulates release of proinflammatory cytokines from TNF alpha stimulated human monocytes. Immunology Letters. 169. 8–14. 6 indexed citations
9.
Sekerková, Alena, et al.. (2015). High Prevalence of Neutrophil Cytoplasmic Autoantibodies in Infants with Food Protein-Induced Proctitis/Proctocolitis: Autoimmunity Involvement?. Journal of Immunology Research. 2015. 1–8. 4 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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