E Nečas

2.5k total citations
129 papers, 2.0k citations indexed

About

E Nečas is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, E Nečas has authored 129 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Hematology, 43 papers in Genetics and 36 papers in Molecular Biology. Recurrent topics in E Nečas's work include Hematopoietic Stem Cell Transplantation (29 papers), Hemoglobinopathies and Related Disorders (24 papers) and Erythropoietin and Anemia Treatment (15 papers). E Nečas is often cited by papers focused on Hematopoietic Stem Cell Transplantation (29 papers), Hemoglobinopathies and Related Disorders (24 papers) and Erythropoietin and Anemia Treatment (15 papers). E Nečas collaborates with scholars based in Czechia, United States and Taiwan. E Nečas's co-authors include J Neuwirt, Jan Krijt, Martin Vokurka, Luděk Šefc, Přemysl Poňka, V. Znojil, Ota Fuchs, Tomáš Stopka, J Živný and J Borová and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Blood.

In The Last Decade

E Nečas

128 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E Nečas Czechia 21 883 702 666 298 284 129 2.0k
Dieter Printz Austria 29 1.1k 1.3× 911 1.3× 290 0.4× 111 0.4× 545 1.9× 62 3.2k
Peter N. Walsh United States 36 2.0k 2.2× 441 0.6× 1.4k 2.1× 316 1.1× 133 0.5× 104 3.5k
A. Victor Hoffbrand United Kingdom 30 1.2k 1.3× 666 0.9× 990 1.5× 147 0.5× 415 1.5× 81 2.5k
Anneke Geurts‐Moespot Netherlands 30 822 0.9× 804 1.1× 595 0.9× 281 0.9× 524 1.8× 75 2.9k
Roberto Passetto Falcão Brazil 26 584 0.7× 958 1.4× 357 0.5× 40 0.1× 371 1.3× 132 2.2k
S Paul Bajaj United States 38 2.4k 2.7× 756 1.1× 1.1k 1.6× 239 0.8× 122 0.4× 95 3.6k
Susan D. Revak United States 23 415 0.5× 414 0.6× 666 1.0× 277 0.9× 75 0.3× 34 2.1k
G Isacchi Italy 20 685 0.8× 440 0.6× 244 0.4× 49 0.2× 241 0.8× 75 1.6k
Yoshihito Yawata Japan 22 662 0.7× 795 1.1× 372 0.6× 127 0.4× 380 1.3× 113 2.3k
Michael Scully United Kingdom 28 948 1.1× 675 1.0× 280 0.4× 66 0.2× 400 1.4× 121 2.8k

Countries citing papers authored by E Nečas

Since Specialization
Citations

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

Fields of papers citing papers by E Nečas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E Nečas

This figure shows the co-authorship network connecting the top 25 collaborators of E Nečas. A scholar is included among the top collaborators of E Nečas 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 E Nečas. E Nečas 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.
Šefc, Luděk, et al.. (2018). Cell cycle and differentiation of Sca-1+ and Sca-1− hematopoietic stem and progenitor cells. Cell Cycle. 17(16). 1979–1991. 6 indexed citations
2.
Krijt, Jan, C Povýšil, Zora Mělková, et al.. (2016). Iron Overload Causes Alterations of E-Cadherin in the Liver. Folia Biologica. 62(3). 95–102. 7 indexed citations
3.
Chen, Chia‐Ling, et al.. (2016). Low c-Kit Expression Level Induced by Stem Cell Factor Does Not Compromise Transplantation of Hematopoietic Stem Cells. Biology of Blood and Marrow Transplantation. 22(7). 1167–1172. 4 indexed citations
4.
Molinský, Jan, Magdalena Klánová, Tomáš Soukup, et al.. (2013). In Vivo Growth of Mantle Cell Lymphoma Xenografts in Immunodeficient Mice Is Positively Regulated by VEGF and Associated with Significant Up-regulation of CD31/PECAM1. Folia Biologica. 59(1). 26–31. 4 indexed citations
5.
Vokurka, Martin, et al.. (2013). Decreased Hemojuvelin Protein Levels in Mask Mice Lacking Matriptase-2-Dependent Proteolytic Activity. Physiological Research. 62(4). 405–411. 7 indexed citations
6.
Molinský, Jan, Magdalena Klánová, Ladislav Anděra, et al.. (2012). Multi-level disruption of the extrinsic apoptotic pathway mediates resistance of leukemia cells to TNF-related apoptosis-inducing ligand (TRAIL). Neoplasma. 60(2). 223–231. 8 indexed citations
7.
Vokurka, Martin, Jan Krijt, J Vávrová, & E Nečas. (2011). Hepcidin Expression in the Liver of Mice with Implanted Tumour Reacts to Iron Deficiency, Inflammation and Erythropoietin Administration. Folia Biologica. 57(6). 248–254. 7 indexed citations
8.
Vokurka, Martin, Z Lacinová, P Kopecký, et al.. (2010). Hepcidin Expression in Adipose Tissue Increases during CardiacSurgery. Physiological Research. 59(3). 393–400. 20 indexed citations
9.
Šefc, Luděk, et al.. (2008). The Late-Stage Foetal Liver Microenvironment Is Essential for Later Sensitivity of B-Lymphopoiesis to Suppression by Oestrogens. Folia Biologica. 54(4). 125–129. 2 indexed citations
10.
Šefc, Luděk, et al.. (2007). Risedronate Has No Adverse Effects on Mouse Haematopoiesis. Folia Biologica. 53(4). 143–145. 2 indexed citations
11.
Klener, Pavel, Ladislav Anděra, E Nečas, & J Živný. (2006). Cell Death Signalling Pathways in the Pathogenesis and Therapy of Haematologic Malignancies: Overview of Apoptotic Pathways. Folia Biologica. 52(1-2). 34–44. 18 indexed citations
12.
Klener, Pavel, Ladislav Anděra, E Nečas, & J Živný. (2006). Cell Death Signalling Pathways in the Pathogenesis and Therapy of Haematologic Malignancies: Overview of Therapeutic Approaches. Folia Biologica. 52(4). 119–136. 11 indexed citations
13.
Šefc, Luděk, et al.. (2006). Protein Kinases, Their Function and Implication in Cancer and Other Diseases. Folia Biologica. 52(3). 81–100. 102 indexed citations
14.
Vokurka, Martin, et al.. (2006). Hepcidin mRNA levels in mouse liver respond to inhibition of erythropoiesis. Physiological Research. 55(6). 667–674. 214 indexed citations
15.
Krijt, Jan, et al.. (2004). Different expression pattern of hepcidin genes in the liver and pancreas of C57BL/6N and DBA/2N mice. Journal of Hepatology. 40(6). 891–896. 40 indexed citations
16.
Šefc, Luděk, et al.. (2003). Response of Hematopoiesis to Cyclophosphamide Follows Highly Specific Patterns in Bone Marrow and Spleen. Journal of Hematotherapy & Stem Cell Research. 12(1). 47–61. 35 indexed citations
17.
Plašilová, Magdalena, J Živný, Jaroslav Jelı́nek, et al.. (2002). TRAIL (Apo2L) suppresses growth of primary human leukemia and myelodysplasia progenitors. Leukemia. 16(1). 67–73. 91 indexed citations
18.
Blackett, N. M. & E Nečas. (1990). On the determination of hemopoietic stem cell proliferation. The International Journal Of Cell Cloning. 8(3). 209–213. 3 indexed citations
19.
Nečas, E, et al.. (1980). Computer model of hemopoietic stem cell population testing a possible role of DNA synthesizing cells in proliferation control. Annals of Hematology. 41(5). 335–346. 5 indexed citations
20.
Nečas, E & J Neuwirt. (1977). Effect of hydroxyurea and vinblastine on the proliferation of the pluripotential stem cells.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 24(1). 29–40. 6 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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