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Researcher · Palestine Ahliya University · Palestine

Emma Qumsiyeh

Emma Qumsiyeh publishes mostly in Molecular Biology, Artificial Intelligence and Cancer Research, on topics such as Gene expression and cancer classification, Bioinformatics and Genomic Networks and Machine Learning in Bioinformatics.

ORCID 0000-0002-3797-5851 OpenAlex
World rank
#3,917,186
of 7,710,434 ranked researchers
Rank in Palestine
#572
of 1,137
Works
18
Citations
97
Citations per work
5.4
h-index
4
i10-index 2Top 98% in Molecular Biology
Emma Qumsiyeh

What does Emma Qumsiyeh research?

Emma Qumsiyeh's work is mostly in Biochemistry, Genetics and Molecular Biology (51%), Computer Science (15%), Agricultural and Biological Sciences (4%).

Life Sciences: 10 works · 55.4% of their workBiochemistry, Genetics and Molecular Biology: 9 works · 51.1% of their workMolecular Biology: 8 works · 42.6% of their workCancer Research: 2 works · 8.5% of their workAgricultural and Biological Sciences: 1 works · 4.3% of their workPlant Science: 1 works · 4.3% of their workEverything else: 5 works · 25.4% of their workPhysical Sciences: 3 works · 19.2% of their workComputer Science: 3 works · 14.9% of their workArtificial Intelligence: 2 works · 10.6% of their workComputer Networks and Communications: 1 works · 4.3% of their workEngineering: 1 works · 4.3% of their workElectrical and Electronic Engineering: 1 works · 4.3% of their workTHEIR WORKEmma Qumsiyeh18works
Life Sciences55%Physical Sciences19%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Biochemistry, Genetics and Molecular Biology951.1%
    2. Agricultural and Biological Sciences14.3%
  2. Everything else525.4%
    1. Computer Science314.9%
    2. Engineering14.3%
  1. 1Molecular Biology43% of their works
  2. 2Artificial Intelligence11% of their works
  3. 3Cancer Research8% of their works
  4. 4Plant Science4% of their works
  5. 5Electrical and Electronic Engineering4% of their works
  6. 6Computer Networks and Communications4% of their works

Research topics

Which keywords describe Emma Qumsiyeh's research?

The keywords of their largest research topics: Bioinformatics, Machine Learning, Gene Expression, Data Analysis, Gene Set Enrichment Analysis, Microarray, Protein-Protein Interaction Networks and Cancer.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 20 words, with their numbers
  1. Bioinformatics113 topics
  2. Machine Learning113 topics
  3. Gene Expression82 topics
  4. Data Analysis61 topic
  5. Gene Set Enrichment Analysis61 topic
  6. Microarray61 topic
  7. Protein-Protein Interaction Networks61 topic
  8. Cancer42 topics
  9. Protein31 topic
  10. Subcellular Localization31 topic
  11. Biomedical Ontologies21 topic
  12. Deep Learning21 topic
  13. Education21 topic
  14. Long Noncoding RNAs21 topic
  15. MicroRNA21 topic
  16. Plant Disease Detection21 topic
  17. RNA Regulation21 topic
  18. Regulation21 topic
  19. Text Mining21 topic
  20. Training21 topic

Where does Emma Qumsiyeh work?

Emma Qumsiyeh's main affiliation in the publication record is Palestine Ahliya University, Palestine.

How many publications and citations does Emma Qumsiyeh have?

OpenAlex counts 18 works and 97 citations for Emma Qumsiyeh, an h-index of 4, ranking #3,917,186 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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