Khalid Abubaker

1.3k citations
12 papers · 1.1k · h-index 9

Impact in

    • Ovarian cancer diagnosis and treatment
  • Oncology top 5%
    • Cancer Cells and Metastasis
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Ovarian cancer diagnosis and treatment 7
    • Cancer Cells and Metastasis 7
    • Cytokine Signaling Pathways and Interactions 3

Khalid Abubaker

11 papers receiving 1.1k citations

Peers

Khalid Abubaker
Comparison fields: 5 of 67
  • Reproductive Medicine 170
  • Oncology 521
  • Cancer Research 272
  • Neurology 142
  • Molecular Biology 488
Replace Esther S.Y. Wong with:
Esther S.Y. Wong Hong Kong
Michela Lupia Italy
Qingcong Lin United States
Kimberly A. Scata United States
Preeti Shah United States
Masabumi Shibuya Japan
Even Birkeland Norway
Isil Guney United States
Marie-Claire Wagle United States
Seung I. Ha United States
Khalid Abubaker relative to Esther S.Y. Wong Hong Kong Esther S.Y. Wong's profile →
Citations per field
00.5×2×4×6×7.1×
Esther S.Y. Wong · 1×
Citations per year

Countries citing papers authored by Khalid Abubaker

Since Specialization
Citations

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

Fields of papers citing papers by Khalid Abubaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2011216
2 2010211
3 2013182
4 2011129
5 2014110
6 201292
7 201371
8 201468
9 201428
10 20149
11 20157
12 20100

About Khalid Abubaker

Khalid Abubaker is a scholar working on Reproductive Medicine, Oncology, Neurology, Biotechnology and Public Health, Environmental and Occupational Health, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (7 papers), Cancer Cells and Metastasis (7 papers), Cytokine Signaling Pathways and Interactions (3 papers), Reproductive Biology and Fertility (2 papers), Cancer Research and Treatments (2 papers), FOXO transcription factor regulation (2 papers), Reproductive System and Pregnancy (1 paper) and Cerebrospinal fluid and hydrocephalus (1 paper). The work is most often cited by research in Reproductive Medicine (170 citations), Oncology (521 citations), Cancer Research (272 citations), Neurology (142 citations) and Molecular Biology (488 citations). Khalid Abubaker has collaborated with scholars based in Australia, Ireland and Poland. Frequent co-authors include Nuzhat Ahmed, Michael A. Quinn, Jock K. Findlay, Erik W. Thompson, JOHN K. FINDLAY, Ardian Latifi, Rodney Brian Luwor, Hong‐Jian Zhu, Ciarán Bolger and Donncha F. O’Brien. Their work appears in journals such as Journal of Cellular Biochemistry, Current Cancer Drug Targets, Journal of Cerebral Blood Flow & Metabolism, Frontiers in Oncology and Molecular 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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