H. Machlab

521 citations
7 papers · 394 · h-index 6

Impact in

    • Wheat and Barley Genetics and Pathology
    • Genetics and Plant Breeding
    • Rice Cultivation and Yield Improvement
    • Plant nutrient uptake and metabolism
    • Plant Disease Resistance and Genetics
  • Genetics top 10%
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

    • Wheat and Barley Genetics and Pathology 4
    • Genetics and Plant Breeding 4
    • Sunflower and Safflower Cultivation 2
    • Flowering Plant Growth and Cultivation 2
    • Seed Germination and Physiology 1
    • Genetic Mapping and Diversity in Plants and Animals 3

H. Machlab

7 papers receiving 380 citations

Peers

H. Machlab
Comparison fields: 5 of 32
  • Plant Science 372
  • Genetics 200
  • Agronomy and Crop Science 75
  • Molecular Biology 46
  • Gastroenterology 3
Replace Moncef Ben Salem with:
Moncef Ben Salem Tunisia
N. Nserallah Italy
Choosak Jompuk Thailand
Simona Corneti Italy
Elena Chiapparino Italy
G. Melz Germany
Dongfa Sun China
Eric Storlie United States
A. Demontis Italy
Sara J. Larsson United States
H. Machlab relative to Moncef Ben Salem Tunisia Moncef Ben Salem's profile →
Citations per field
00.5×1.5×2.1×
Moncef Ben Salem · 1×
Citations per year

Countries citing papers authored by H. Machlab

Since Specialization
Citations

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

Fields of papers citing papers by H. Machlab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2008289
2 200648
3 199622
4 201515
5 201610
6 19968
7 19932

About H. Machlab

H. Machlab is a scholar working on Plant Science, Genetics, Molecular Biology, Agronomy and Crop Science and Infectious Diseases, having authored 7 papers that have together received 394 indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (4 papers), Genetics and Plant Breeding (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Sunflower and Safflower Cultivation (2 papers), Flowering Plant Growth and Cultivation (2 papers), Plant tissue culture and regeneration (2 papers), Crop Yield and Soil Fertility (1 paper) and Seed Germination and Physiology (1 paper). The work is most often cited by research in Plant Science (372 citations), Genetics (200 citations), Agronomy and Crop Science (75 citations), Molecular Biology (46 citations) and Gastroenterology (3 citations). H. Machlab has collaborated with scholars based in Lebanon, Tunisia and Italy. Frequent co-authors include A. El-Ahmed, Fouad Maalouf, Maria Corinna Sanguineti, J. Bort, Marco Maccaferri, N. Nserallah, J. L. Araus Ortega, Roberto Tuberosa, C. Royo and H. Ouabbou. Their work appears in journals such as Plant Cell Reports, Genetics, Annals of Agricultural Sciences, Plant Genetic Resources and Biotechnology & Biotechnological Equipment.

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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