Malak Abedalthagafi

5.7k citations
92 papers · 2.3k · 1 hit paper · h-index 26

Impact in

Papers in

    • Glioma Diagnosis and Treatment 26
    • BRCA gene mutations in cancer 5
    • Meningioma and schwannoma management 20

Malak Abedalthagafi

86 papers receiving 2.3k citations

Malak Abedalthagafi's Hit Papers

Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment 2024 · 114 citations
1140+1Years since publication255075100

Peers

Malak Abedalthagafi
Comparison fields: 5 of 110
  • Genetics 570
  • Endocrinology, Diabetes and Metabolism 408
  • Neurology 341
  • Epidemiology 662
  • Health Informatics 23
Replace Shanop Shuangshoti with:
Shanop Shuangshoti Thailand
Eline T. Luning Prak United States
Susan E. Prockop United States
Denise Frosina United States
Melissa E. Elder United States
Korinna Jöhrens Germany
Hidefumi Hiramatsu Japan
Meora Feinmesser Israel
László Krenács Hungary
Faith Young United States
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Citations per field
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Citations per year

Countries citing papers authored by Malak Abedalthagafi

Since Specialization
Citations

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

Fields of papers citing papers by Malak Abedalthagafi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020255
2 2015182
3 2014126
4 2017120
5
Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment
Hit paper breakdown →
2024114
6 201693
7 201685
8 201484
9 201381
10 201564
11 201557
12 201055
13 201853
14 201451
15 201447
16 201847
17 201744
18 202040
19 201435
20 201733

About Malak Abedalthagafi

Malak Abedalthagafi is a scholar working on Genetics, Epidemiology, Molecular Biology, Neurology and Pulmonary and Respiratory Medicine, having authored 92 papers that have together received 2.3k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (26 papers), Meningioma and schwannoma management (20 papers), Cancer Genomics and Diagnostics (9 papers), Genetic factors in colorectal cancer (8 papers), Neurofibromatosis and Schwannoma Cases (7 papers), Pituitary Gland Disorders and Treatments (7 papers), Brain Metastases and Treatment (6 papers) and BRCA gene mutations in cancer (5 papers). The work is most often cited by research in Genetics (570 citations), Endocrinology, Diabetes and Metabolism (408 citations), Neurology (341 citations), Epidemiology (662 citations) and Health Informatics (23 citations). Malak Abedalthagafi has collaborated with scholars based in United States, Saudi Arabia and United Kingdom. Frequent co-authors include Sandro Santagata, Ian F. Dunn, Wenya Linda Bi, Rameen Beroukhim, Brian M. Alexander, Ayal A. Aizer, Priscilla K. Brastianos, Keith L. Ligon, Kara M. Foshay and May Alrashed. Their work appears in journals such as Oncotarget, Neuro-Oncology, PLoS ONE, npj Precision Oncology and Modern Pathology.

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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