Amal Rayan

583 citations
36 papers · 441 · h-index 14

Impact in

Papers in

    • Inflammatory Biomarkers in Disease Prognosis 4
    • Cancer Immunotherapy and Biomarkers 3
    • Immune cells in cancer 7
    • Immune Cell Function and Interaction 4
    • Galectins and Cancer Biology 2

Amal Rayan

34 papers receiving 436 citations

Peers

Amal Rayan
Comparison fields: 5 of 68
  • Sensory Systems 118
  • Otorhinolaryngology 25
  • Immunology 123
  • Neurology 42
  • Oncology 88
Replace Dong-Il Sun with:
Dong-Il Sun South Korea
Navid Almadani Iran
G Taborelli Italy
Nienke Roescher Netherlands
Г. В. Селедцова Russia
Sunhee Hwang United States
Jia Hui Ng Singapore
Bethany Fixsen United States
M. Schwarz Germany
Masafumi Kanno Japan
Amal Rayan relative to Dong-Il Sun South Korea Dong-Il Sun's profile →
Citations per field
00.5×4.5×
Dong-Il Sun · 1×
Citations per year

Countries citing papers authored by Amal Rayan

Since Specialization
Citations

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

Fields of papers citing papers by Amal Rayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200585
2 200642
3 201034
4 201830
5 202129
6 202421
7 202020
8 202119
9
Frequency and Implications of Natural Killer and Natural Killer T Cells in Hepatocellular Carcinoma.
201817
10 202216
11 202115
12 202015
13 201914
14 201813
15 201911
16 20218
17 20228
18 20237
19 20207
20 20206

About Amal Rayan

Amal Rayan is a scholar working on Oncology, Immunology, Molecular Biology, Surgery and Hematology, having authored 36 papers that have together received 441 indexed citations. Recurring topics across this work include Immune cells in cancer (7 papers), Immune Cell Function and Interaction (4 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Galectins and Cancer Biology (2 papers), Hearing, Cochlea, Tinnitus, Genetics (2 papers), Colorectal and Anal Carcinomas (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Sensory Systems (118 citations), Otorhinolaryngology (25 citations), Immunology (123 citations), Neurology (42 citations) and Oncology (88 citations). Amal Rayan has collaborated with scholars based in Egypt, United States and Saudi Arabia. Frequent co-authors include Asmaa M. Zahran, ‏Helal F. Hetta, Moien Kanaan, Mary‐Claire King, Hashem Shahin, Omnia El‐Badawy, Karen B. Avraham, Tom Walsh, Ming K. Lee and Eric D. Lynch. Their work appears in journals such as Cancer Biomarkers, Scientific Reports, PLoS ONE, Journal of Immunology Research and Cancer Immunology Immunotherapy.

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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