Eva Doleželová

585 citations
25 papers · 492 · h-index 16

Impact in

Papers in

    • Drug Transport and Resistance Mechanisms 9
    • Liver Disease Diagnosis and Treatment 3

Eva Doleželová

24 papers receiving 488 citations

Peers

Eva Doleželová
Comparison fields: 5 of 73
  • Obstetrics and Gynecology 58
  • Oncology 129
  • Pharmacology 41
  • Biochemistry 32
  • Cardiology and Cardiovascular Medicine 70
Replace Gerardo Blanco‐Fernández with:
Gerardo Blanco‐Fernández Spain
Bedia Ağaçhan Türkiye
Stewart L. MacLeod United States
Masayuki Ohbayashi Japan
Buket Kın Tekçe Türkiye
Takashi Etoh Japan
C. Aros Chile
Hequn Zou China
Olle Vikrot Sweden
Eva Doleželová relative to Gerardo Blanco‐Fernández Spain Gerardo Blanco‐Fernández's profile →
Citations per field
00.5×4.5×
Gerardo Blanco‐Fernández · 1×
Citations per year

Countries citing papers authored by Eva Doleželová

Since Specialization
Citations

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

Fields of papers citing papers by Eva Doleželová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eva Doleželová, 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 Eva Doleželová Line = papers co-authored together Eva Doleželová links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201355
2 201248
3 201735
4 201234
5 201831
6 201226
7 201526
8 201224
9 201922
10 201621
11 201721
12 201421
13 201519
14 201917
15 201717
16 201715
17 201613
18 202012
19 201910
20 20149

About Eva Doleželová

Eva Doleželová is a scholar working on Oncology, Epidemiology, Pharmacology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 25 papers that have together received 492 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (9 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Cholesterol and Lipid Metabolism (3 papers), Trace Elements in Health (3 papers), Hormonal Regulation and Hypertension (3 papers), Iron Metabolism and Disorders (3 papers) and Pregnancy and Medication Impact (2 papers). The work is most often cited by research in Obstetrics and Gynecology (58 citations), Oncology (129 citations), Pharmacology (41 citations), Biochemistry (32 citations) and Cardiology and Cardiovascular Medicine (70 citations). Eva Doleželová has collaborated with scholars based in Czechia, Spain and United States. Frequent co-authors include Stanislav Mičuda, Petr Nachtigal, M Hroch, Jolana Cermanová, František Štaud, Carmelo Bernabéu, Lukáš Červený, Martina Čečková, Ivana Němečková and Jana Rathouska. Their work appears in journals such as Atherosclerosis, Physiological Research, Life Sciences, Scientific Reports and The FASEB Journal.

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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