D.H. Háyes

1.5k citations
57 papers · 1.3k indexed · h-index 21
Topics
RNA and protein synthesis mechanisms (33 papers)RNA modifications and cancer (23 papers)Bacteriophages and microbial interactions (15 papers)

In The Last Decade

D.H. Háyes

57 papers receiving 1.1k citations

Peers

D.H. Háyes
Comparison fields: 5 of 84
  • Molecular Biology 1.1k
  • Genetics 221
  • Ecology 196
  • Oncology 99
  • Spectroscopy 97
Replace Lawrence Kahan with:
Lawrence Kahan United States
Harold G. Martinson United States
Alap R. Subramanian Germany
Eric Terzaghi New Zealand
Ernest Jay Canada
Annika C. Arnberg Netherlands
Eiko Otaka Japan
Ranajit Roychoudhury United States
Lawrence I. Slobin United States
I.C. Gillam Canada
D.H. Háyes relative to Lawrence Kahan United States Lawrence Kahan's profile →
Citations per field
00.5×
Lawrence Kahan · 1×
Citations per year

Countries citing papers authored by D.H. Háyes

Since Specialization
Citations

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

Fields of papers citing papers by D.H. Háyes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.H. Háyes. 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 D.H. Háyes. The network helps show where D.H. Háyes may publish in the future.

Co-authorship network of co-authors of D.H. Háyes

This figure shows the co-authorship network connecting the top 25 collaborators of D.H. Háyes. A scholar is included among the top collaborators of D.H. Háyes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D.H. Háyes. D.H. Háyes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 34
2 5
3 4
4 4
5 3
6 8
7 2
8 24
9 7
10 12
11 17
12 4
13 29
14
[Detection of N-epsilon, N-epsilon, N-epsilon-trimethyllysine in ribosomal protein L 11 by methylation of E. coli ribosomes synthesized in the presence of ethionine].
2
15 6
16 5
17 4
18 18
19 13
20 138

About D.H. Háyes

D.H. Háyes is a scholar working on Molecular Biology, Ecology and Oncology, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (33 papers), RNA modifications and cancer (23 papers) and Bacteriophages and microbial interactions (15 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Genetics (221 citations) and Ecology (196 citations). D.H. Háyes has collaborated with scholars based in France, Portugal and United States. Frequent co-authors include Alain Expert-Bezancon, F. Newton Hayes, Marie‐France Guérin, Jean‐Hervé Alix, Marie-Christine Guérin, Denis Barritault, Denis Barritault, M. Milet, Claudina Rodrigues‐Pousada and François Gros. Their work appears in journals such as Nucleic Acids Research, The EMBO Journal and Journal of Molecular Biology.

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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