Mohammad Krayem

1.1k citations
27 papers · 865 · h-index 16

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
  • Oncology top 10%
    • Cancer-related Molecular Pathways
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Cancer Immunotherapy and Biomarkers 2
    • Cancer Cells and Metastasis 2
    • Cancer-related Molecular Pathways 2
    • PARP inhibition in cancer therapy 1
    • Melanoma and MAPK Pathways 11
    • RNA modifications and cancer 1

Mohammad Krayem

27 papers receiving 850 citations

Peers

Mohammad Krayem
Comparison fields: 5 of 52
  • Genetics 101
  • Oncology 140
  • Molecular Biology 223
  • Otorhinolaryngology 20
  • Cancer Research 27
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Li Pan China
Adam M. Sheehy United States
Midori Hayashida Japan
Janghee Woo United States
Haibin Wu China
Benoît Thibault France
Rachel Abbotts United States
Anika M. Weber United Kingdom
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Citations per year

Countries citing papers authored by Mohammad Krayem

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Krayem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017108
2 201787
3 202178
4 201876
5 202168
6 201648
7 202247
8 201746
9 202136
10 201831
11 201729
12 202224
13 201422
14 201622
15 201921
16 202016
17 202016
18 202315
19 201912
20 202212

About Mohammad Krayem

Mohammad Krayem is a scholar working on Oncology, Molecular Biology, Genetics, Immunology and Nuclear Energy and Engineering, having authored 27 papers that have together received 865 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (11 papers), Mesenchymal stem cell research (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer Cells and Metastasis (2 papers), Cancer-related Molecular Pathways (2 papers), T-cell and B-cell Immunology (1 paper), PARP inhibition in cancer therapy (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Genetics (101 citations), Oncology (140 citations), Molecular Biology (223 citations), Otorhinolaryngology (20 citations) and Cancer Research (27 citations). Mohammad Krayem has collaborated with scholars based in Belgium, France and Canada. Frequent co-authors include Ghanem Ghanem, Ahmad Hussein Awada, Ahmad Najem, Fabrice Journé, Laurence Lagneaux, Nathalie Meuleman, Mehdi Najar, Sven Saussez, Dirk Van Gestel and Anne Perdrix. Their work appears in journals such as Cancers, Frontiers in Oncology, Cells, European Journal of Cancer and BMC Cancer.

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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