L. Bernad

1.2k citations
14 papers · 858 · 1 hit paper · h-index 8

Impact in

Papers in

    • Plant Virus Research Studies 12
    • Phytoplasmas and Hemiptera pathogens 4
    • Plant Pathogenic Bacteria Studies 3
    • Chromosomal and Genetic Variations 2
    • Plant Reproductive Biology 2

L. Bernad

14 papers receiving 847 citations

L. Bernad's Hit Papers

Genome-Wide Analysis Uncovers Regulation of Long Intergenic Noncoding RNAs in Arabidopsis 2012 · 560 citations
5600+4+9Years since publication100200300400500

Peers

L. Bernad
Comparison fields: 5 of 47
  • Endocrinology 340
  • Horticulture 26
  • Plant Science 656
  • Cancer Research 244
  • Molecular Biology 426
Replace Bu‐Jun Shi with:
Bu‐Jun Shi Australia
Sizolwenkosi Mlotshwa United States
Benedict Arnold United Kingdom
Thierry Pélissier France
Shengben Li United States
Gunjune Kim United States
David Windels Switzerland
Angela Peragine United States
Stacey A. Simon United States
Stephen E. Schauer United States
L. Bernad relative to Bu‐Jun Shi Australia Bu‐Jun Shi's profile →
Citations per field
00.5×1.5×2.3×
Bu‐Jun Shi · 1×
Citations per year

Countries citing papers authored by L. Bernad

Since Specialization
Citations

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

Fields of papers citing papers by L. Bernad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
Genome-Wide Analysis Uncovers Regulation of Long Intergenic Noncoding RNAs in Arabidopsis
Hit paper breakdown →
2012560
2 2009109
3 200671
4 200532
5 200928
6 200719
7 200913
8 201012
9 20114
10 20053
11 20052
12 20102
13 20052
14 20251

About L. Bernad

L. Bernad is a scholar working on Plant Science, Molecular Biology, Endocrinology, Insect Science and Horticulture, having authored 14 papers that have together received 858 indexed citations. Recurring topics across this work include Plant Virus Research Studies (12 papers), Plant and Fungal Interactions Research (5 papers), Phytoplasmas and Hemiptera pathogens (4 papers), Plant Pathogenic Bacteria Studies (3 papers), Insect-Plant Interactions and Control (3 papers), Plant Reproductive Biology (2 papers), Chromosomal and Genetic Variations (2 papers) and Plant Pathogens and Fungal Diseases (1 paper). The work is most often cited by research in Endocrinology (340 citations), Horticulture (26 citations), Plant Science (656 citations), Cancer Research (244 citations) and Molecular Biology (426 citations). L. Bernad has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Shulin Deng, Jun S. Liu, Nam‐Hai Chua, Catalina Arenas‐Huertero, Jun Xu, Choonkyun Jung, Huan Wang, N. Durán-Vila, Héctor Botella and Carlos Lloréns. Their work appears in journals such as Biology Direct, Journal of General Virology, Phytopathology, Molecular Plant Pathology and The Plant Cell.

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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