E Nečas

2.5k citations
129 papers · 2.1k · h-index 22

Impact in

  • Hematology top 1%
    • Iron Metabolism and Disorders
    • Hematopoietic Stem Cell Transplantation
    • Erythropoietin and Anemia Treatment
  • Genetics top 1%
    • Hemoglobinopathies and Related Disorders

Papers in

    • Hematopoietic Stem Cell Transplantation 28
    • Erythropoietin and Anemia Treatment 15
    • Iron Metabolism and Disorders 15
    • Hemoglobinopathies and Related Disorders 22
    • Mesenchymal stem cell research 15

E Nečas

129 papers receiving 2.0k citations

Peers

E Nečas
Comparison fields: 5 of 120
  • Hematology 871
  • Genetics 614
  • Nutrition and Dietetics 277
  • Emergency Medicine 149
  • Cancer Research 225
Replace M. H. Freedman with:
M. H. Freedman Canada
Roberto Passetto Falcão Brazil
J P Kushner United States
Michael Scully United Kingdom
S Paul Bajaj United States
C. G. Cochrane United States
AF LoBuglio United States
William P. Sheffield Canada
Anneke Geurts‐Moespot Netherlands
Rob Wagenvoord Netherlands
E Nečas relative to M. H. Freedman Canada M. H. Freedman's profile →
Citations per field
00.5×4.2×
M. H. Freedman · 1×
Citations per year

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-authors

The 25 scholars most cited alongside E Nečas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E Nečas Line = papers co-authored together E Nečas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006222
2 1979175
3 2011121
4 2009116
5 2006108
6 200294
7 201181
8 198074
9 200458
10 200044
11 200342
12 200442
13 201236
14 200335
15 199330
16 197230
17 201129
18 201425
19 197624
20 201124

About E Nečas

E Nečas is a scholar working on Hematology, Genetics, Molecular Biology, Immunology and Oncology, having authored 129 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (28 papers), Hemoglobinopathies and Related Disorders (22 papers), Erythropoietin and Anemia Treatment (15 papers), Iron Metabolism and Disorders (15 papers), Mesenchymal stem cell research (15 papers), Erythrocyte Function and Pathophysiology (14 papers), Trace Elements in Health (9 papers) and Cancer Cells and Metastasis (8 papers). The work is most often cited by research in Hematology (871 citations), Genetics (614 citations), Nutrition and Dietetics (277 citations), Emergency Medicine (149 citations) and Cancer Research (225 citations). E Nečas has collaborated with scholars based in Czechia, United States and Taiwan. Frequent co-authors include J Neuwirt, Jan Krijt, Martin Vokurka, Luděk Šefc, Přemysl Poňka, V. Znojil, Ota Fuchs, Tomáš Stopka, J Živný and J Borová. Their work appears in journals such as Cell Proliferation, Blood, Blood Cells Molecules and Diseases, Stem Cells and Physiological Research.

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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