J. Jizba

654 citations
47 papers · 475 · h-index 13

Impact in

Papers in

J. Jizba

46 papers receiving 428 citations

Peers

J. Jizba
Comparison fields: 5 of 62
  • Pharmacology 114
  • Insect Science 59
  • Ecology, Evolution, Behavior and Systematics 81
  • Biotechnology 33
  • Molecular Biology 240
Replace N.J. McCorkindale with:
N.J. McCorkindale United Kingdom
Nobutaka Takahashi Japan
W. Adolf Germany
Shigeo MURAKOSHI Japan
Koshi Arai Japan
Yasuharu SEKIZAWA Japan
G.A. White United States
Iraj Ganjian United States
Hans‐Peter Hanssen Germany
Claude C. J. Culvenor Australia
J. Jizba relative to N.J. McCorkindale United Kingdom N.J. McCorkindale's profile →
Citations per field
00.5×3.5×
N.J. McCorkindale · 1×
Citations per year

Countries citing papers authored by J. Jizba

Since Specialization
Citations

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

Fields of papers citing papers by J. Jizba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196765
2 196745
3 196335
4 199131
5 197130
6 196726
7 196220
8 197918
9 199214
10 199414
11
Ultrastructural effects of macrotetrolides of Streptomyces griseus LKS-1 in tissues of Culex pipiens larvae.
198914
12 198013
13 197812
14 19718
15 19748
16 19858
17 19937
18 19797
19 19886
20 19816

About J. Jizba

J. Jizba is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Organic Chemistry, Pharmacology and Plant Science, having authored 47 papers that have together received 475 indexed citations. Recurring topics across this work include Plant Toxicity and Pharmacological Properties (8 papers), Microbial Natural Products and Biosynthesis (6 papers), Carbohydrate Chemistry and Synthesis (5 papers), Botanical Research and Chemistry (5 papers), Sesquiterpenes and Asteraceae Studies (4 papers), Synthesis of Organic Compounds (4 papers), Fungal Biology and Applications (4 papers) and Plant Pathogens and Resistance (4 papers). The work is most often cited by research in Pharmacology (114 citations), Insect Science (59 citations), Ecology, Evolution, Behavior and Systematics (81 citations), Biotechnology (33 citations) and Molecular Biology (240 citations). J. Jizba has collaborated with scholars based in Czechia, Belarus and Russia. Frequent co-authors include V. Herout, F. Šorm, Petr Sedmera, З. Ванек, L. Dolejš, Ladislav Novotný, Věra Přikrylová, M. Beran, М. Блумауерова and Ladislav Novotný. Their work appears in journals such as Journal of Chromatography A, Biotechnology Letters, Tetrahedron Letters, The Journal of Antibiotics and Tetrahedron.

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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