Kai Graszynski

471 citations
23 papers · 390 · h-index 12

Impact in

    • Aquaculture Nutrition and Growth
  • Ecology top 5%
    • Physiological and biochemical adaptations
    • Crustacean biology and ecology
    • Avian ecology and behavior

Papers in

    • Physiological and biochemical adaptations 9
    • Crustacean biology and ecology 7
    • Avian ecology and behavior 2
    • Enzyme function and inhibition 4

Kai Graszynski

23 papers receiving 357 citations

Peers

Kai Graszynski
Comparison fields: 5 of 56
  • Aquatic Science 101
  • Ecology 323
  • Nature and Landscape Conservation 59
  • Cellular and Molecular Neuroscience 87
  • Ecological Modeling 13
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Citations per year

Countries citing papers authored by Kai Graszynski

Since Specialization
Citations

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

Fields of papers citing papers by Kai Graszynski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Kai Graszynski, 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 Kai Graszynski Line = papers co-authored together Kai Graszynski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199155
2 198740
3 199238
4 198935
5 198932
6 201732
7 199523
8 199520
9 198918
10 200816
11 196814
12 198812
13
The Situation of the Lesser Spotted Eagle Aquila pomarina in Germany: The need for an Action Plan and active Conservation
20049
14 19707
15 19707
16 19926
17 19756
18 19586
19 19854
20 19684

About Kai Graszynski

Kai Graszynski is a scholar working on Ecology, Molecular Biology, Nature and Landscape Conservation, Cellular and Molecular Neuroscience and Aquatic Science, having authored 23 papers that have together received 390 indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (9 papers), Crustacean biology and ecology (7 papers), Neurobiology and Insect Physiology Research (5 papers), Enzyme function and inhibition (4 papers), Aquaculture Nutrition and Growth (4 papers), Fish biology, ecology, and behavior (2 papers), Animal Behavior and Reproduction (2 papers) and Avian ecology and behavior (2 papers). The work is most often cited by research in Aquatic Science (101 citations), Ecology (323 citations), Nature and Landscape Conservation (59 citations), Cellular and Molecular Neuroscience (87 citations) and Ecological Modeling (13 citations). Kai Graszynski has collaborated with scholars based in Germany, Latvia and Russia. Frequent co-authors include Horst Onken, Wolfgang Zeiske, Gisela Drews, Bernd‐Ulrich Meyburg, Peter Krippeit‐Drews, Christiane Meyburg, Wouter M. G. Vansteelant, Annsofi Johannsen, S. Riestenpatt and W. Zeiske. Their work appears in journals such as Journal of Comparative Physiology A, Journal of Comparative Physiology B, Helgoland Marine Research, Biochimica et Biophysica Acta (BBA) - Biomembranes and Journal of Experimental Biology.

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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