Jindra Windrichová

461 total citations
26 papers, 288 citations indexed

About

Jindra Windrichová is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Jindra Windrichová has authored 26 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 7 papers in Cancer Research. Recurrent topics in Jindra Windrichová's work include Radiopharmaceutical Chemistry and Applications (3 papers), MicroRNA in disease regulation (3 papers) and Vitamin C and Antioxidants Research (3 papers). Jindra Windrichová is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (3 papers), MicroRNA in disease regulation (3 papers) and Vitamin C and Antioxidants Research (3 papers). Jindra Windrichová collaborates with scholars based in Czechia, Netherlands and Finland. Jindra Windrichová's co-authors include Ondřej Topolčan, Radek Kučera, Otto Mayer, Jan Filipovský, Peter Wohlfahrt, Renata Cífková, Jitka Seidlerová, Jiří Vaněk, Nadja E.A. Drummen and Jindřich Fínek and has published in prestigious journals such as PLoS ONE, Clinica Chimica Acta and Cancers.

In The Last Decade

Jindra Windrichová

24 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jindra Windrichová Czechia 11 65 61 59 57 40 26 288
Han-Seong Kim South Korea 9 17 0.3× 63 1.0× 111 1.9× 44 0.8× 62 1.6× 13 330
Shenglei Zhang China 12 40 0.6× 33 0.5× 161 2.7× 18 0.3× 67 1.7× 43 348
Chihiro Horimai Japan 7 25 0.4× 23 0.4× 155 2.6× 56 1.0× 38 0.9× 9 378
Trude Skogstrand Norway 12 20 0.3× 41 0.7× 123 2.1× 37 0.6× 56 1.4× 25 318
Johannes Nordlohne Germany 11 15 0.2× 57 0.9× 97 1.6× 23 0.4× 52 1.3× 14 364
Takeo Sakuta Japan 8 22 0.3× 44 0.7× 58 1.0× 65 1.1× 44 1.1× 15 410
Bjoern Mayer Germany 7 25 0.4× 34 0.6× 64 1.1× 38 0.7× 24 0.6× 8 382
Carmen Cristóbal Spain 12 27 0.4× 62 1.0× 83 1.4× 25 0.4× 47 1.2× 44 438
Taihei Yanagida Japan 9 30 0.5× 19 0.3× 91 1.5× 43 0.8× 45 1.1× 14 269
András Mogyorósi United States 8 41 0.6× 17 0.3× 126 2.1× 25 0.4× 47 1.2× 12 299

Countries citing papers authored by Jindra Windrichová

Since Specialization
Citations

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

Fields of papers citing papers by Jindra Windrichová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jindra Windrichová

This figure shows the co-authorship network connecting the top 25 collaborators of Jindra Windrichová. A scholar is included among the top collaborators of Jindra Windrichová 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 Jindra Windrichová. Jindra Windrichová 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.
2.
Pešta, Martin, Vlastimil Kulda, Pavel Ostašov, et al.. (2024). Prognostic Value of Tumor Tissue Up-regulated microRNAs in Clear Cell Renal Cell Carcinoma (ccRCC). In Vivo. 38(4). 1799–1805. 1 indexed citations
3.
Polívka, Jiří, Mohamed A. Gouda, Martin Pešta, et al.. (2024). Predictive Significance of Combined Plasmatic Detection of BRAF Mutations and S100B Tumor Marker in Early‐Stage Malignant Melanoma. Cancer Medicine. 13(19). e70313–e70313. 3 indexed citations
4.
Kalfeřt, David, Marie Ludvíková, Martin Pešta, et al.. (2024). BRAF mutation, selected miRNAs and genes expression in primary papillary thyroid carcinomas and local lymph node metastases. Pathology - Research and Practice. 258. 155319–155319. 1 indexed citations
5.
Kulda, Vlastimil, Jiří Polívka, Martin Svatoň, et al.. (2023). Next Generation Sequencing Analysis and its Benefit for Targeted Therapy of Lung Adenocarcinoma. Cancer Genomics & Proteomics. 20(4). 404–411. 3 indexed citations
6.
7.
Slouka, David, et al.. (2021). The Potential of Mir-499 Plasmatic Level As A Biomarker Of Obstructive Sleep Apnea Syndrome. Biomarkers in Medicine. 15(12). 1011–1019. 9 indexed citations
8.
Pešta, Martin, Vlastimil Kulda, Jindra Windrichová, et al.. (2021). BAI1 as a Prognostic Marker of Clear Cell Renal Cell Carcinoma (ccRCC). Anticancer Research. 41(9). 4463–4470.
9.
Windrichová, Jindra, Pavel Brož, Ondřej Topolčan, et al.. (2020). Comparison of four routinely used vitamin D automated immunoassays. Journal of Medical Biochemistry. 40(3). 277–285. 3 indexed citations
10.
Polívka, Jiří, Jindra Windrichová, Martin Pešta, et al.. (2020). The Level of Preoperative Plasma KRAS Mutations and CEA Predict Survival of Patients Undergoing Surgery for Colorectal Cancer Liver Metastases. Cancers. 12(9). 2434–2434. 21 indexed citations
11.
Horakova, Olga, Kristina Bardová, Blanka Holendová, et al.. (2020). Chronic n-3 fatty acid intake enhances insulin response to oral glucose and elevates GLP-1 in high-fat diet-fed obese mice. Food & Function. 11(11). 9764–9775. 13 indexed citations
12.
Windrichová, Jindra, et al.. (2018). An Assessment of Novel Biomarkers in Bone Metastatic Disease Using Multiplex Measurement and Multivariate Analysis. Technology in Cancer Research & Treatment. 17. 1077075114–1077075114. 2 indexed citations
13.
Topolčan, Ondřej, et al.. (2018). OPG, OPN, EGF and VEGF Levels at Individual Breslow Score Stages in Malignant Melanoma. Anticancer Research. 38(8). 4907–4911. 8 indexed citations
14.
Windrichová, Jindra, et al.. (2017). MIC1/GDF15 as a Bone Metastatic Disease Biomarker. Anticancer Research. 37(3). 1501–1506. 27 indexed citations
15.
Kalfeřt, David, Marie Ludvíková, Ondřej Topolčan, et al.. (2017). Serum Levels of IGF-1 and IGFBP-3 in Relation to Clinical and Pathobiological Aspects of Head and Neck Squamous Cell Carcinomas. Anticancer Research. 37(6). 3281–3286. 6 indexed citations
16.
Topolčan, Ondřej, et al.. (2015). PHI in the Early Detection of Prostate Cancer.. PubMed. 35(9). 4855–7. 9 indexed citations
17.
Kučera, Radek, Ondřej Topolčan, Ladislav Pecen, et al.. (2015). Reference values of IGF1, IGFBP3 and IGF1/IGFBP3 ratio in adult population in the Czech Republic. Clinica Chimica Acta. 444. 271–277. 16 indexed citations
18.
Mayer, Otto, Jitka Seidlerová, Peter Wohlfahrt, et al.. (2015). Desphospho-uncarboxylated matrix Gla protein is associated with increased aortic stiffness in a general population. Journal of Human Hypertension. 30(7). 418–423. 50 indexed citations
19.
Mayer, Otto, Jitka Seidlerová, Jiří Vaněk, et al.. (2015). The abnormal status of uncarboxylated matrix Gla protein species represents an additional mortality risk in heart failure patients with vascular disease. International Journal of Cardiology. 203. 916–922. 21 indexed citations
20.
Mayer, Otto, Jitka Seidlerová, Jan Bruthans, et al.. (2014). The predictive potential of asymptomatic mild elevation of cardiac troponin I on mortality risk of stable patients with vascular disease. Clinical Biochemistry. 48(4-5). 353–357. 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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