Jerzy Klag

38 papers receiving 475 citations

Peers

Jerzy Klag
Comparison fields: 5 of 60
  • Physiology 41
  • Ecology, Evolution, Behavior and Systematics 172
  • Reproductive Medicine 65
  • Aging 12
  • Genetics 181
Replace Janusz Kubrakiewicz with:
Janusz Kubrakiewicz Poland
María Monclús Argentina
Romain Savary Switzerland
Angélique Vétillard France
Angela V. Klaus United States
Tadashi Nomura Japan
Hisaaki Iwasawa Japan
Anna Pecio Poland
William J. Biggers United States
O. Lusis United Kingdom
Jerzy Klag relative to Janusz Kubrakiewicz Poland Janusz Kubrakiewicz's profile →
Citations per field
00.5×3.6×
Janusz Kubrakiewicz · 1×
Citations per year

Countries citing papers authored by Jerzy Klag

Since Specialization
Citations

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

Fields of papers citing papers by Jerzy Klag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 21 scholars most cited alongside Jerzy Klag, 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 Jerzy Klag Line = papers co-authored together Jerzy Klag links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201531
2 20116
3 201129
4 201017
5 200957
6 200732
7 200719
8 20077
9
Ovary cord structure in Hirudo medicinalis [Hirudinea, Hirudinidae] ovary
20063
10 200612
11
Ovary structure in an earthworm Dendrobaena veneta (Rosa)
20002
12
Predetermination of cytokinesis and transition from holoblastic to partial superficial cleavage in early embryonic development of Tetrodontophora bielanensis (Collembola).
20001
13 199710
14 199513
15 199315
16 199151
17
Ovaries of protura are meroistic: ultrastructural studies
19842
18
The ultrastructure of the midgut in Xenylla Grisea (Collembola)
19818
19 19786
20 197715

About Jerzy Klag

Jerzy Klag is a scholar working on Ecology, Evolution, Behavior and Systematics, Physiology, Genetics, Reproductive Medicine and Oceanography, having authored 39 papers that have together received 516 indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (14 papers), Collembola Taxonomy and Ecology Studies (8 papers), Hemiptera Insect Studies (7 papers), Insect Resistance and Genetics (5 papers), Leech Biology and Applications (4 papers), Neurobiology and Insect Physiology Research (4 papers), Protist diversity and phylogeny (3 papers) and Sperm and Testicular Function (3 papers). The work is most often cited by research in Physiology (41 citations), Ecology, Evolution, Behavior and Systematics (172 citations), Reproductive Medicine (65 citations), Aging (12 citations) and Genetics (181 citations). Jerzy Klag has collaborated with scholars based in Poland, Czechia and Russia. Frequent co-authors include Piotr Świątek, Szczepan M. Biliński, Janusz Kubrakiewicz, Magdalena Rost–Roszkowska, Józefa Styrna, Kenta Moriwaki, Aleksander Bielecki, Izabela Poprawa, Weronika Rupik and W.J. Przybyłowicz. Their work appears in journals such as Journal of Morphology, Annals of the Entomological Society of America, Cell and Tissue Research, Development Genes and Evolution and Tissue and Cell.

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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