Doaa Hashad

513 citations
33 papers · 393 · h-index 12

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation
    • Ovarian cancer diagnosis and treatment

Papers in

Doaa Hashad

31 papers receiving 382 citations

Peers

Doaa Hashad
Comparison fields: 5 of 70
  • Cancer Research 157
  • Reproductive Medicine 44
  • Molecular Biology 185
  • Hepatology 19
  • Nephrology 16
Replace Melanie von Brandenstein with:
Melanie von Brandenstein Germany
Jia Wu China
Rui-Peng Jia China
Oğuz Bilgi Türkiye
Tomoya Fukawa Japan
Jiangdong Xiang China
Jeffrey Reese United States
Cheung Wong United States
Bülent Karagöz Türkiye
Hayriye Tatlı Doğan Türkiye
Doaa Hashad relative to Melanie von Brandenstein Germany Melanie von Brandenstein's profile →
Citations per field
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Melanie von Brandenstein · 1×
Citations per year

Countries citing papers authored by Doaa Hashad

Since Specialization
Citations

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

Fields of papers citing papers by Doaa Hashad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Doaa Hashad, 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 Doaa Hashad Line = papers co-authored together Doaa Hashad links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201677
2 201250
3 201336
4 201022
5 201721
6 201518
7 201114
8 201214
9 201214
10 201513
11 201112
12 201212
13 201611
14 202310
15 201910
16 20118
17 20168
18 20237
19 20117
20 20166

About Doaa Hashad

Doaa Hashad is a scholar working on Molecular Biology, Epidemiology, Rheumatology, Immunology and Cancer Research, having authored 33 papers that have together received 393 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (3 papers), Hepatitis C virus research (3 papers), Cancer-related molecular mechanisms research (3 papers), Sperm and Testicular Function (3 papers), Dermatology and Skin Diseases (2 papers), HER2/EGFR in Cancer Research (2 papers), Cancer Genomics and Diagnostics (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (157 citations), Reproductive Medicine (44 citations), Molecular Biology (185 citations), Hepatology (19 citations) and Nephrology (16 citations). Doaa Hashad has collaborated with scholars based in Egypt, India and Italy. Frequent co-authors include Iman M. Talaat, Abeer Ghazal, Nermeen El-Beltagy, Neamat Hegazy, Rasha N.M. Saleh, Efstratios Vakirlis, Raffaella Cascella, Giuseppe Novelli, Ariane Chapgier and Claudia Strafella. Their work appears in journals such as Journal of Clinical Laboratory Analysis, Andrologia, Human Genomics, Renal Failure 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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