L.A. Day

432 citations
18 papers · 396 · h-index 12

Impact in

  • Ecology top 10%
    • Bacteriophages and microbial interactions
    • RNA and protein synthesis mechanisms
    • DNA and Nucleic Acid Chemistry
    • Protein Structure and Dynamics
    • Genomics and Phylogenetic Studies
    • Advanced biosensing and bioanalysis techniques

Papers in

    • Bacteriophages and microbial interactions 11
    • RNA and protein synthesis mechanisms 5
    • DNA and Nucleic Acid Chemistry 4
    • Genomics and Phylogenetic Studies 3

L.A. Day

18 papers receiving 320 citations

Peers

L.A. Day
Comparison fields: 5 of 64
  • Ecology 230
  • Molecular Biology 246
  • Genetics 97
  • Endocrinology 16
  • Biophysics 15
Replace Robert L. Wiseman with:
Robert L. Wiseman United States
T.I. Tikchonenko Russia
Dimitrij Lang United States
S. Asakura Japan
Irwin J. Bendet United States
Lizabeth D. Murphy United States
Vishal I. Kottadiel United States
D.A. Marvin United Kingdom
Charles‐Adrien Arnaud France
Diane Bona Canada
L.A. Day relative to Robert L. Wiseman United States Robert L. Wiseman's profile →
Citations per field
00.5×2×3×
Robert L. Wiseman · 1×
Citations per year

Countries citing papers authored by L.A. Day

Since Specialization
Citations

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

Fields of papers citing papers by L.A. Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.A. Day. 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 L.A. Day. The network helps show where L.A. Day may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 198569
2 199358
3 197041
4 198429
5 198026
6 198326
7 198125
8 198024
9 198819
10 198017
11 198214
12 199513
13 200211
14 197210
15 19946
16 19914
17 19832
18 20022

About L.A. Day

L.A. Day is a scholar working on Ecology, Molecular Biology, Spectroscopy, Genetics and Animal Science and Zoology, having authored 18 papers that have together received 396 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (11 papers), RNA and protein synthesis mechanisms (5 papers), DNA and Nucleic Acid Chemistry (4 papers), Genomics and Phylogenetic Studies (3 papers), Bacterial Genetics and Biotechnology (3 papers), Molecular spectroscopy and chirality (2 papers), Plant Virus Research Studies (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Ecology (230 citations), Molecular Biology (246 citations), Genetics (97 citations), Endocrinology (16 citations) and Biophysics (15 citations). L.A. Day has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Hermann Frank, R.N.H. Konings, J.G.G. Schoenmakers, Ruud G. M. Luiten, Steven A. Berkowitz, George J. Thomas, Seung Won Shin, Manfred Renz, José L. Jorcano and G. Meyer. Their work appears in journals such as Biophysical Journal, Proceedings of the National Academy of Sciences, Biochemistry, Journal of Virology and Analytical Biochemistry.

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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