J. Lida

727 citations
15 papers · 632 · h-index 10

Impact in

  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders
    • Animal Genetics and Reproduction
  • Microbiology top 10%

Papers in

    • CRISPR and Genetic Engineering 4
    • RNA and protein synthesis mechanisms 3
    • Microbial infections and disease research 5
    • Actinomycetales infections and treatment 2

J. Lida

15 papers receiving 605 citations

Peers

J. Lida
Comparison fields: 5 of 68
  • Genetics 119
  • Microbiology 43
  • Molecular Biology 409
  • Genetics 148
  • Immunology 106
Replace Mayumi I. Nonaka with:
Mayumi I. Nonaka Japan
Theologia Sarafidou Greece
Minji Byun United States
Nuno Palha France
Karsten Skjoedt Denmark
Petr Pajer Czechia
C. Davidson United States
B. H. van Leeuwen Australia
Ayuko Kimura Japan
Laurent Boucontet France
J. Lida relative to Mayumi I. Nonaka Japan Mayumi I. Nonaka's profile →
Citations per field
00.5×3.6×
Mayumi I. Nonaka · 1×
Citations per year

Countries citing papers authored by J. Lida

Since Specialization
Citations

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

Fields of papers citing papers by J. Lida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1990296
2 199070
3 199260
4 199254
5 199148
6 199026
7 199115
8 198713
9 199013
10 199413
11 19909
12 19905
13 19875
14 19924
15 19881

About J. Lida

J. Lida is a scholar working on Molecular Biology, Microbiology, Immunology, Ecology and Genetics, having authored 15 papers that have together received 632 indexed citations. Recurring topics across this work include Microbial infections and disease research (5 papers), CRISPR and Genetic Engineering (4 papers), interferon and immune responses (3 papers), RNA and protein synthesis mechanisms (3 papers), Animal Genetics and Reproduction (3 papers), Actinomycetales infections and treatment (2 papers), Bacteriophages and microbial interactions (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Genetics (119 citations), Microbiology (43 citations), Molecular Biology (409 citations), Genetics (148 citations) and Immunology (106 citations). J. Lida has collaborated with scholars based in United Kingdom, Mexico and Switzerland. Frequent co-authors include J A Sharpe, Douglas R. Higgs, W. G. Wood, Helena Ayyub, Andrew P. Jarman, Kin‐Chow Chang, Geoffrey Goldspink, Issar Smith, Andrew Scutt and G F Gerlach. Their work appears in journals such as Research in Veterinary Science, Archives of Virology, Molecular and Cellular Biology, Genes & Development and The EMBO Journal.

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.

Explore authors with similar magnitude of impact