D. Čechová

1.1k citations
72 papers · 849 · h-index 17

Impact in

Papers in

D. Čechová

68 papers receiving 775 citations

Peers

D. Čechová
Comparison fields: 5 of 78
  • Reproductive Medicine 386
  • Physiology 45
  • Public Health, Environmental and Occupational Health 229
  • Equine 11
  • Agronomy and Crop Science 59
Replace Věra Jonáková with:
Věra Jonáková Czechia
Shashi Anand India
Karen Talmadge United States
Kenneth L. Klotz United States
Margaret Paterson United Kingdom
Ekyune Kim South Korea
Arpi Hagopian United States
Animesh Barua United States
Sergo Kasvandik Estonia
Monna Crone Denmark
D. Čechová relative to Věra Jonáková Czechia Věra Jonáková's profile →
Citations per field
00.5×1.5×
Věra Jonáková · 1×
Citations per year

Countries citing papers authored by D. Čechová

Since Specialization
Citations

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

Fields of papers citing papers by D. Čechová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199855
2 199154
3 198847
4 198135
5 199932
6 197932
7 198831
8 199030
9 198229
10 197128
11 199223
12 197621
13 198321
14 198321
15 199119
16 198817
17
Saccharide-binding properties of boar AQN spermadhesins and DQH sperm surface protein.
199817
18 201916
19 200415
20 200213

About D. Čechová

D. Čechová is a scholar working on Molecular Biology, Immunology, Small Animals, Reproductive Medicine and Genetics, having authored 72 papers that have together received 849 indexed citations. Recurring topics across this work include Sperm and Testicular Function (12 papers), Animal health and immunology (12 papers), Immune Response and Inflammation (10 papers), melanin and skin pigmentation (5 papers), Antimicrobial Peptides and Activities (5 papers), Toxin Mechanisms and Immunotoxins (5 papers), Hormonal and reproductive studies (5 papers) and Animal Nutrition and Physiology (4 papers). The work is most often cited by research in Reproductive Medicine (386 citations), Physiology (45 citations), Public Health, Environmental and Occupational Health (229 citations), Equine (11 citations) and Agronomy and Crop Science (59 citations). D. Čechová has collaborated with scholars based in Czechia, Germany and Switzerland. Frequent co-authors include Věra Jonáková, L Veselský, Edda Töpfer‐Petersen, Petr Štrop, Agnes Henschen, Blanka Železná, Jan Tesařík, B. Meloun, F. Šorm and Michal Kraus. Their work appears in journals such as FEBS Letters, Reproduction, Andrologia, Immunology Letters and Journal of Chromatography A.

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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