H. Machlab
Impact in
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- Wheat and Barley Genetics and Pathology
- Genetics and Plant Breeding
- Sunflower and Safflower Cultivation
- Plant Genetic and Mutation Studies
- Flowering Plant Growth and Cultivation
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- Crop Yield and Soil Fertility
Papers in
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- Wheat and Barley Genetics and Pathology 3
- Genetics and Plant Breeding 3
- Sunflower and Safflower Cultivation 2
- Flowering Plant Growth and Cultivation 2
- Seed Germination and Physiology 1
- Light effects on plants 1
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- Plant tissue culture and regeneration 2
- Co-authors
- Stefan Barth (3 shared papers)Heide Schnabl (2 shared papers)Ruth Wingender (3 shared papers)Rim Mzid (2 shared papers)Lamis Chalak (2 shared papers)Joëlle Breidy (1 shared paper)Marco Maccaferri (1 shared paper)J. Bort (1 shared paper)
- Journals
- Plant Cell Reports (2 papers)Annals of Agricultural Sciences (1 paper)Plant Genetic Resources (1 paper)Journal of Genetics (1 paper)Biotechnology & Biotechnological Equipment (1 paper)
In The Last Decade
H. Machlab
6 papers receiving 98 citations
Peers
Comparison fields: 5 of 21
- Plant Science 97
- Agronomy and Crop Science 15
- Genetics 33
- Biochemistry 3
- Molecular Biology 31
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 24 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 | 2006 | 47 | |
| 2 | 1996 | 22 | |
| 3 | 2015 | 15 | |
| 4 | 2016 | 10 | |
| 5 | 1996 | 8 | |
| 6 | 1993 | 2 |
About H. Machlab
H. Machlab is a scholar working on Plant Science, Molecular Biology, Genetics, Agronomy and Crop Science and Infectious Diseases, having authored 6 papers that have together received 104 indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (3 papers), Genetics and Plant Breeding (3 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Sunflower and Safflower Cultivation (2 papers), Plant tissue culture and regeneration (2 papers), Flowering Plant Growth and Cultivation (2 papers), Seed Germination and Physiology (1 paper) and Light effects on plants (1 paper). The work is most often cited by research in Plant Science (97 citations), Agronomy and Crop Science (15 citations), Genetics (33 citations), Biochemistry (3 citations) and Molecular Biology (31 citations). H. Machlab has collaborated with scholars based in Lebanon, Tunisia and Germany. Frequent co-authors include Stefan Barth, Heide Schnabl, Ruth Wingender, Rim Mzid, Lamis Chalak, Joëlle Breidy, Marco Maccaferri, J. Bort, M. M. Nachit and Andrea De Montis. Their work appears in journals such as Plant Cell Reports, Annals of Agricultural Sciences, Plant Genetic Resources, Journal of Genetics 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.