K.A.F. Gration

1.2k citations
24 papers · 879 · h-index 15

Impact in

Papers in

K.A.F. Gration

24 papers receiving 816 citations

Peers

K.A.F. Gration
Comparison fields: 5 of 74
  • Small Animals 210
  • Cellular and Molecular Neuroscience 423
  • Insect Science 189
  • Aging 25
  • Parasitology 92
Replace Adrian T. Rogers with:
Adrian T. Rogers United Kingdom
Rodney A. Webb Canada
Jon H. Hayashi United States
Philip S. Paress United States
C.A. Winterrowd United States
Ralph A. Pax United States
Sean G. Forrester Canada
Adrian Etter Switzerland
Debra J. Woods United States
Valérie Raymond France
K.A.F. Gration relative to Adrian T. Rogers United Kingdom Adrian T. Rogers's profile →
Citations per field
00.5×3.9×
Adrian T. Rogers · 1×
Citations per year

Countries citing papers authored by K.A.F. Gration

Since Specialization
Citations

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

Fields of papers citing papers by K.A.F. Gration

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979144
2 1993124
3 1985110
4 200084
5 198264
6 198144
7 197943
8 198236
9 198131
10 197929
11 200028
12 198124
13 199216
14 198016
15 199115
16 197914
17 198812
18 200310
19 19799
20 19798

About K.A.F. Gration

K.A.F. Gration is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Insect Science, Small Animals and Plant Science, having authored 24 papers that have together received 879 indexed citations. Recurring topics across this work include Ion channel regulation and function (11 papers), Neuroscience and Neural Engineering (7 papers), Insect and Pesticide Research (6 papers), Helminth infection and control (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Insect and Arachnid Ecology and Behavior (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Insect Pest Control Strategies (3 papers). The work is most often cited by research in Small Animals (210 citations), Cellular and Molecular Neuroscience (423 citations), Insect Science (189 citations), Aging (25 citations) and Parasitology (92 citations). K.A.F. Gration has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include P.N.R. Usherwood, Ian Harrow, Joseph B. Patlak, Jeremy J. Lambert, N. A. Evans, A. C. Goudie, R.P. Rand, MICHAEL S. PACEY, David A. Perry and Andrea Herbert. Their work appears in journals such as Veterinary Parasitology, Brain Research, Nature, The Journal of Physiology and Neuropharmacology.

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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