K. Gaede

425 citations
21 papers · 261 · h-index 10

Impact in

    • Vector-borne infectious diseases
    • Insect and Pesticide Research
    • Insect-Plant Interactions and Control

Papers in

K. Gaede

20 papers receiving 237 citations

Peers

K. Gaede
Comparison fields: 5 of 60
  • Parasitology 74
  • Insect Science 91
  • Ecology, Evolution, Behavior and Systematics 62
  • Infectious Diseases 28
  • Biotechnology 12
Replace Eleanor Johnson Tobie with:
Eleanor Johnson Tobie United States
K.A. Osinga Netherlands
Joris Van Roy Belgium
Steve D. Pratt United States
A. M. Clark Australia
Enrique E. Montamat Argentina
Angélica Silva-Olivares Mexico
C. C. Wang United States
Raja C. Mugasimangalam India
Ana J. Cáceres Venezuela
K. Gaede relative to Eleanor Johnson Tobie United States Eleanor Johnson Tobie's profile →
Citations per field
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Eleanor Johnson Tobie · 1×
Citations per year

Countries citing papers authored by K. Gaede

Since Specialization
Citations

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

Fields of papers citing papers by K. Gaede

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside K. Gaede, 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 K. Gaede Line = papers co-authored together K. Gaede links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199768
2 199246
3 195930
4 198713
5
[Paper electrophoresis of albuminous bodies by higher voltage].
195213
6 197412
7 196711
8 197311
9 197210
10 19529
11 19597
12 19765
13 19715
14 19764
15 19703
16 19683
17
Glycerol-3-phosphate dehydrogenase. I. Fluorescence behaviour of the p-CMB inactivated enzyme.
19693
18 20003
19 19762
20 19622

About K. Gaede

K. Gaede is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Insect Science, Clinical Biochemistry and Pediatrics, Perinatology and Child Health, having authored 21 papers that have together received 261 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (3 papers), Study of Mite Species (3 papers), Insect and Pesticide Research (2 papers), Neonatal Health and Biochemistry (2 papers), Enzyme function and inhibition (2 papers), Biochemical and Molecular Research (2 papers), Enzyme Production and Characterization (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Parasitology (74 citations), Insect Science (91 citations), Ecology, Evolution, Behavior and Systematics (62 citations), Infectious Diseases (28 citations) and Biotechnology (12 citations). K. Gaede has collaborated with scholars based in Venezuela, Germany and United States. Frequent co-authors include W. Knülle, W. G. Jaffé, Klaus Brendel, Máximo Giménez, J. Herbert Taylor, B.L. Horecker, William J. Whelan, Walter Runge, Luis M. Carbonell and Rafael Apitz‐Castro. Their work appears in journals such as FEBS Letters, Nature, Experimental and Applied Acarology, BioScience and Cell and Tissue Research.

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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