W. Kleinow

528 citations
36 papers · 344 · h-index 12

Impact in

Papers in

    • Genomics and Phylogenetic Studies 6
    • RNA and protein synthesis mechanisms 6
    • Machine Learning in Bioinformatics 4
    • Aquatic Ecosystems and Phytoplankton Dynamics 8

W. Kleinow

32 papers receiving 325 citations

Peers

W. Kleinow
Comparison fields: 5 of 66
  • Environmental Chemistry 101
  • Aquatic Science 37
  • Health, Toxicology and Mutagenesis 55
  • Oceanography 44
  • Physiology 16
Replace Patrick D.L. Gibbs with:
Patrick D.L. Gibbs United States
Fumio MATSUURA Japan
Lucrèce Mathéron France
Aritsune Uchida Japan
Alexander Vershinin Russia
Daniel S. Grosch United States
Thomas M. Barry United States
Bernhard Surholt Germany
Nikki Adams United States
K. Adachi Japan
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Citations per field
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Patrick D.L. Gibbs · 1×
Citations per year

Countries citing papers authored by W. Kleinow

Since Specialization
Citations

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

Fields of papers citing papers by W. Kleinow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside W. Kleinow, 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 W. Kleinow Line = papers co-authored together W. Kleinow links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197229
2 199028
3 196624
4 198523
5 199022
6 198822
7 199118
8 199316
9 198413
10 198913
11 197111
12 197011
13 197110
14 197310
15 197410
16 19909
17 19748
18 19967
19 20007
20 19956

About W. Kleinow

W. Kleinow is a scholar working on Molecular Biology, Environmental Chemistry, Renewable Energy, Sustainability and the Environment, Aquatic Science and Health, Toxicology and Mutagenesis, having authored 36 papers that have together received 344 indexed citations. Recurring topics across this work include Aquatic Ecosystems and Phytoplankton Dynamics (8 papers), Genomics and Phylogenetic Studies (6 papers), RNA and protein synthesis mechanisms (6 papers), Algal biology and biofuel production (6 papers), Machine Learning in Bioinformatics (4 papers), Environmental Toxicology and Ecotoxicology (4 papers), Aquaculture Nutrition and Growth (3 papers) and Biocrusts and Microbial Ecology (2 papers). The work is most often cited by research in Environmental Chemistry (101 citations), Aquatic Science (37 citations), Health, Toxicology and Mutagenesis (55 citations), Oceanography (44 citations) and Physiology (16 citations). W. Kleinow has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Walter Neupert, Birgit Lorenz, Hanns Weiss, Werner Peters, Walter Sebald, Th. Bücher, F. Miller, Alap R. Subramanian, Tomas Pieler and A. J. Schwab. Their work appears in journals such as Hydrobiologia, FEBS Letters, Zoomorphology, The Journal of Cell Biology and Naunyn-Schmiedeberg s Archives of 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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