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Researcher · Government College University, Faisalabad · Pakistan

Israr Fatima

Israr Fatima publishes mostly in Molecular Biology, Computational Theory and Mathematics and Infectious Diseases, on topics such as vaccines and immunoinformatics approaches, Computational Drug Discovery Methods and Monoclonal and Polyclonal Antibodies Research.

ORCID 0009-0009-3630-8764 OpenAlex
World rank
#2,685,843
of 7,710,434 ranked researchers
Rank in Pakistan
#9,344
of 32,975
Works
33
Citations
678
Citations per work
20.5
h-index
11
i10-index 13Top 71% in Molecular Biology
Israr Fatima

What does Israr Fatima research?

Israr Fatima's work is mostly in Biochemistry, Genetics and Molecular Biology (43%), Medicine (13%), Computer Science (8%).

Life Sciences: 16 works · 48.4% of their workBiochemistry, Genetics and Molecular Biology: 14 works · 42.9% of their workMolecular Biology: 13 works · 38.5% of their workGenetics: 1 works · 4.4% of their workImmunology and Microbiology: 2 works · 5.5% of their workImmunology: 2 works · 5.5% of their workEverything else: 10 works · 30.7% of their workHealth Sciences: 4 works · 13.2% of their workMedicine: 4 works · 13.2% of their workInfectious Diseases: 3 works · 7.7% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 5.5% of their workPhysical Sciences: 3 works · 7.7% of their workComputer Science: 3 works · 7.7% of their workComputational Theory and Mathematics: 3 works · 7.7% of their workTHEIR WORKIsrar Fatima33works
Life Sciences48%Physical Sciences8%Health Sciences13%

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 Biology1442.9%
    2. Immunology and Microbiology25.5%
  2. Everything else1030.7%
    1. Medicine413.2%
    1. Computer Science37.7%
  1. 1Molecular Biology38% of their works
  2. 2Computational Theory and Mathematics8% of their works
  3. 3Infectious Diseases8% of their works
  4. 4Immunology6% of their works
  5. 5Radiology, Nuclear Medicine and Imaging6% of their works
  6. 6Genetics4% of their works

Research topics

Which keywords describe Israr Fatima's research?

The keywords of their largest research topics: Antigen Presentation, Epitope Prediction, Machine Learning, Peptide-MHC Binding, Molecular Docking, Virtual Screening, Immunity and Fc Receptors.

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.

All 19 words, with their numbers
  1. Antigen Presentation132 topics
  2. Epitope Prediction101 topic
  3. Machine Learning102 topics
  4. Peptide-MHC Binding101 topic
  5. Molecular Docking71 topic
  6. Virtual Screening71 topic
  7. Immunity62 topics
  8. Fc Receptors51 topic
  9. Therapeutic Antibodies51 topic
  10. Cancer Immunotherapy31 topic
  11. Coronavirus31 topic
  12. Dendritic Cells31 topic
  13. Gene Set Enrichment Analysis31 topic
  14. Protein31 topic
  15. Protein-Protein Interaction Networks31 topic
  16. SARS-CoV-231 topic
  17. Subcellular Localization31 topic
  18. Genome Engineering21 topic
  19. RNA-Guided21 topic

Where does Israr Fatima work?

Israr Fatima's main affiliation in the publication record is Government College University, Faisalabad, Pakistan.

How many publications and citations does Israr Fatima have?

OpenAlex counts 33 works and 678 citations for Israr Fatima, an h-index of 11, ranking #2,685,843 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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