Z. Čekan

1.4k citations
56 papers · 1.1k · h-index 17

Impact in

Papers in

Z. Čekan

55 papers receiving 987 citations

Peers

Z. Čekan
Comparison fields: 5 of 97
  • Reproductive Medicine 403
  • Endocrinology, Diabetes and Metabolism 374
  • Behavioral Neuroscience 56
  • Genetics 205
  • Immunology 114
Replace Paige K. Besch with:
Paige K. Besch United States
Fred A. Kincl United States
A. E. Kellie United Kingdom
Leonard R. Axelrod United States
G. O. Potts United States
I.F. Sommerville United Kingdom
P.F. Brenner United States
K.R. Laumas India
S. L. Steelman United States
Jerry R. Reel United States
Z. Čekan relative to Paige K. Besch United States Paige K. Besch's profile →
Citations per field
00.5×1.5×
Paige K. Besch · 1×
Citations per year

Countries citing papers authored by Z. Čekan

Since Specialization
Citations

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

Fields of papers citing papers by Z. Čekan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1973174
2 1976106
3 197586
4 197581
5 197579
6 197655
7 197549
8 197644
9 197542
10 197636
11 197632
12 197630
13
Studies on the pattern of circulating steroids in the normal menstrual cycle. 2. Levels of 20alpha-dihydroprogesterone, 17-hydroxy-progesterone and 17-hydroxypregnenolone and the assessment of their value for ovulation prediction.
197623
14 196121
15 195918
16 197617
17 196117
18 197615
19 196315
20 196311

About Z. Čekan

Z. Čekan is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Organic Chemistry and Genetics, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (11 papers), Estrogen and related hormone effects (7 papers), Steroid Chemistry and Biochemistry (7 papers), Chemical synthesis and alkaloids (6 papers), Plant-based Medicinal Research (4 papers), Phytochemistry and Bioactive Compounds (4 papers), Natural product bioactivities and synthesis (4 papers) and Plant biochemistry and biosynthesis (4 papers). The work is most often cited by research in Reproductive Medicine (403 citations), Endocrinology, Diabetes and Metabolism (374 citations), Behavioral Neuroscience (56 citations), Genetics (205 citations) and Immunology (114 citations). Z. Čekan has collaborated with scholars based in Sweden, Czechia and United States. Frequent co-authors include E. Diczfalusy, R. Guerrero, P.F. Brenner, K. Purvis, Britt-Marie Landgren, B.-M. Landgren, T. Aso, Takeshi Asô, J. Trojánek and V. Herout. Their work appears in journals such as Steroids, Clinical Endocrinology, European Journal of Endocrinology, Tetrahedron Letters and Planta Medica.

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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