H. Machlab
Impact in
- Plant Science top 5%
- Wheat and Barley Genetics and Pathology
- Genetics and Plant Breeding
- Rice Cultivation and Yield Improvement
- Plant nutrient uptake and metabolism
- Plant Genetic and Mutation Studies
- Agronomy and Crop Science top 10%
- Crop Yield and Soil Fertility
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
- Genetics 3
- Genetic Mapping and Diversity in Plants and Animals 3
- Co-authors
- Fouad Maalouf (2 shared papers)Roberto Tuberosa (2 shared papers)J. L. Araus Ortega (2 shared papers)M. M. Nachit (2 shared papers)H. Ouabbou (2 shared papers)Moncef Ben Salem (2 shared papers)C. Royo (2 shared papers)Marco Maccaferri (2 shared papers)
- Journals
- Plant Cell Reports (2 papers)Annals of Agricultural Sciences (1 paper)Genetics (1 paper)Plant Genetic Resources (1 paper)Journal of Genetics (1 paper)
In The Last Decade
H. Machlab
7 papers receiving 420 citations
Peers
Comparison fields: 5 of 33
- Plant Science 416
- Agronomy and Crop Science 82
- Genetics 217
- Biotechnology 7
- Molecular Biology 54
Countries citing papers authored by H. Machlab
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 320 | |
| 2 | 2006 | 56 | |
| 3 | 1996 | 27 | |
| 4 | 2015 | 16 | |
| 5 | 2016 | 11 | |
| 6 | 1996 | 8 | |
| 7 | 1993 | 2 |
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 440 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 (416 citations), Agronomy and Crop Science (82 citations), Genetics (217 citations), Biotechnology (7 citations) and Molecular Biology (54 citations). H. Machlab has collaborated with scholars based in Lebanon, Tunisia and Italy. Frequent co-authors include Fouad Maalouf, Roberto Tuberosa, J. L. Araus Ortega, M. M. Nachit, H. Ouabbou, Moncef Ben Salem, C. Royo, Marco Maccaferri, A. El-Ahmed and N. Nserallah. Their work appears in journals such as Plant Cell Reports, Annals of Agricultural Sciences, Genetics, Plant Genetic Resources and Journal of Genetics.
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.