Sonja Iskrić

38 papers receiving 375 citations

Peers

Sonja Iskrić
Comparison fields: 5 of 83
  • Biological Psychiatry 15
  • Cellular and Molecular Neuroscience 88
  • Pharmacology 27
  • Pharmacology 46
  • Organic Chemistry 83
Replace S. Kveder with:
S. Kveder Croatia
Yitzhak Ittah United States
Rudy Susilo Germany
C. C. Porter United States
Norman G. Brink United States
Makoto Muramatsu Japan
G. Gille Germany
James N. Jacob United States
Roger Shaw United States
Judith L. Engel United States
Sonja Iskrić relative to S. Kveder Croatia S. Kveder's profile →
Citations per field
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S. Kveder · 1×
Citations per year

Countries citing papers authored by Sonja Iskrić

Since Specialization
Citations

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

Fields of papers citing papers by Sonja Iskrić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196256
2 199452
3 198827
4 198227
5 198526
6 198325
7 197125
8 196815
9 195913
10 198712
11 198910
12 198410
13 197310
14
Development of sublines of Wistar-derived rats with high or low platelet serotonin levels
19959
15
A non-radioactive, sensitive method for the detection of DNA fragmentation in apoptotic cells (rat pheochromocytoma PC12 and rat cortical cells).
19948
16
Fluctuation of 5-hydroxy-indole compounds in the urine of migrainous patients.
19758
17 19697
18 19656
19
Serotonin transporter : Studies on platelet model in rats and humans
19965
20 19835

About Sonja Iskrić

Sonja Iskrić is a scholar working on Molecular Biology, Organic Chemistry, Cellular and Molecular Neuroscience, Spectroscopy and Plant Science, having authored 39 papers that have together received 408 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (9 papers), Neurotransmitter Receptor Influence on Behavior (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Carbohydrate Chemistry and Synthesis (4 papers), Psychedelics and Drug Studies (3 papers), Plant Parasitism and Resistance (3 papers), Marine Toxins and Detection Methods (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Biological Psychiatry (15 citations), Cellular and Molecular Neuroscience (88 citations), Pharmacology (27 citations), Pharmacology (46 citations) and Organic Chemistry (83 citations). Sonja Iskrić has collaborated with scholars based in Croatia, United States and Germany. Frequent co-authors include S. Kveder, Volker Magnus, D. Keglević, Lipa Čičin‐Šain, Branimir Jernej, Sanja Perović, Wernér E.G. Müller, Goran Laćan, Hiroshi Ushijima and Gabriela Pergande. Their work appears in journals such as PLANT PHYSIOLOGY, Journal of Chromatography A, Analytical Biochemistry, Planta and Journal of Pharmacy and Pharmacology.

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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