Klaus Scheller

1.8k citations
61 papers · 1.5k indexed · h-index 24

Klaus Scheller

58 papers receiving 1.5k citations

Peers

Klaus Scheller
Comparison fields: 5 of 88
  • Insect Science 634
  • Cellular and Molecular Neuroscience 607
  • Immunology 375
  • Genetics 432
  • Molecular Biology 689
Replace Jeroen Poels with:
Jeroen Poels Belgium
Jianyong Li China
Susumu Izumi Japan
Joachim Nowock Germany
G Lavorgna Italy
Péter Maróy Hungary
Kwan‐Hee You South Korea
Carl S. Thummel United States
Sourav Roy United States
Michael Jarcho United States
Klaus Scheller relative to Jeroen Poels Belgium Jeroen Poels's profile →
Citations per field
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Citations per year

Countries citing papers authored by Klaus Scheller

Since Specialization
Citations

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

Fields of papers citing papers by Klaus Scheller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Effect of 20-hydroxyecdysone on synthesis and uptake of arylphorin by the larval fat body of Calliphora vicina (Diptera: Calliphoridae)
20131
2
Correlations between ecdysteroid titre and silk gene expression in the last instar larvae of Galleria mellonella (Lepidoptera: Pyralidae)
20130
3 20076
4 200410
5 200384
6 200310
7 200221
8 200218
9 200215
10 200140
11 199978
12 199811
13 199723
14 199718
15 199526
16 199244
17 199135
18
Ecdysteroid induced reabsorption of calliphorin from the hemolymph by fat bodies of calliphora vicina prepupae
19892
19 198629
20 198640

About Klaus Scheller

Klaus Scheller is a scholar working on Insect Science, Cellular and Molecular Neuroscience and Immunology, having authored 61 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (29 papers), Insect Resistance and Genetics (22 papers), Insect Utilization and Effects (19 papers), Insect and Pesticide Research (14 papers), Insect and Arachnid Ecology and Behavior (11 papers), Invertebrate Immune Response Mechanisms (7 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers) and Insect Pest Control Strategies (4 papers). The work is most often cited by research in Insect Science (634 citations), Cellular and Molecular Neuroscience (607 citations) and Immunology (375 citations). Klaus Scheller has collaborated with scholars based in Germany, United States and Greece. Frequent co-authors include Thorsten Burmester, Constantin E. Sekeris, Immo A. Hansen, Constantine E. Sekeris, Mieczysława Irena Boguś, Heide Schenkel, František Sehnal, Bernd Schmaußer, Matthias Eck and Hans Konrad Müller‐Hermelink. Their work appears in journals such as Insect Biochemistry and Molecular Biology, Die Naturwissenschaften, European Journal of Biochemistry, Journal of Insect Physiology and Development Genes and Evolution.

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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