G. Keith

3.5k citations
62 papers · 2.8k indexed · h-index 28
  • Virology top 0.5%
    • HIV Research and Treatment 4
    • RNA and protein synthesis mechanisms 39
    • RNA modifications and cancer 33
    • RNA Research and Splicing 13
    • Genomics and Phylogenetic Studies 6
    • Glycosylation and Glycoproteins Research 2
    • Peptidase Inhibition and Analysis 3
    • Plant Disease Resistance and Genetics 4

G. Keith

62 papers receiving 2.7k citations

Peers

G. Keith
Comparison fields: 5 of 87
  • Virology 793
  • Molecular Biology 2.2k
  • Infectious Diseases 525
  • Microbiology 136
  • Oncology 220
Replace Richard B. Ciccarelli with:
Richard B. Ciccarelli United States
Eugene Valkov United Kingdom
Sundarasamy Mahalingam India
R. Datema Germany
P F Spahr Switzerland
Ian Bathurst United States
Debasish Chattopadhyay United States
A. Renard Belgium
Tran C. Chanh United States
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G. Keith relative to Richard B. Ciccarelli United States Richard B. Ciccarelli's profile →
Citations per field
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Richard B. Ciccarelli · 1×
Citations per year

Countries citing papers authored by G. Keith

Since Specialization
Citations

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

Fields of papers citing papers by G. Keith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200029
2 1998104
3 199828
4 199523
5 1995130
6 199433
7 19938
8 199322
9 19927
10 19923
11 19912
12 199035
13 19909
14 19905
15
Linkage heterogeneity between X-linked retinitis pigmentosa and a map of 10 RFLP loci.
198927
16 19887
17 19887
18 197724
19 197145
20 19694

About G. Keith

G. Keith is a scholar working on Virology, Molecular Biology and Biotechnology, having authored 62 papers that have together received 2.8k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (39 papers), RNA modifications and cancer (33 papers), RNA Research and Splicing (13 papers), Genomics and Phylogenetic Studies (6 papers), HIV Research and Treatment (4 papers), Plant Disease Resistance and Genetics (4 papers), Peptidase Inhibition and Analysis (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Virology (793 citations), Molecular Biology (2.2k citations) and Infectious Diseases (525 citations). G. Keith has collaborated with scholars based in France, United States and Poland. Frequent co-authors include G. Dirheimer, J L Darlix, Olivier Poch, Henri Grosjean, Noël Tordo, François Rougeon, Alain Ermine, Jean Gangloff, Bernard Ehresmann and Manuel A. S. Santos. Their work appears in journals such as Nucleic Acids Research, FEBS Letters, Biochimie, The EMBO Journal and Biochemical and Biophysical Research Communications.

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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