Hibah Shaath

1.3k citations
22 papers · 883 · h-index 14

Impact in

Papers in

    • Circular RNAs in diseases 5
    • RNA modifications and cancer 2
    • RNA Research and Splicing 2
    • Cancer-related molecular mechanisms research 10
    • MicroRNA in disease regulation 6

Hibah Shaath

21 papers receiving 879 citations

Peers

Hibah Shaath
Comparison fields: 5 of 75
  • Cancer Research 348
  • Immunology 192
  • Molecular Biology 468
  • Oncology 157
  • Infectious Diseases 106
Replace Kijong Yi with:
Kijong Yi South Korea
Jingmin Zhao China
Sophie M. Poznanski Canada
Timothy J. Zumwalt United States
Michaël Loschi France
Jeanette Schwarz Germany
Keyuan Chen China
Laure Vincent France
Iris Mimpen Netherlands
Hibah Shaath relative to Kijong Yi South Korea Kijong Yi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hibah Shaath

Since Specialization
Citations

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

Fields of papers citing papers by Hibah Shaath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020142
2 2022105
3 2020100
4 201882
5 201967
6 201963
7 202159
8 201856
9 202149
10 201932
11 202023
12 202120
13 202118
14 202316
15 202213
16 202112
17 202010
18 202110
19 20243
20 20232

About Hibah Shaath

Hibah Shaath is a scholar working on Molecular Biology, Cancer Research, Immunology, Infectious Diseases and Oncology, having authored 22 papers that have together received 883 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (5 papers), COVID-19 Clinical Research Studies (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Cancer Research (348 citations), Immunology (192 citations), Molecular Biology (468 citations), Oncology (157 citations) and Infectious Diseases (106 citations). Hibah Shaath has collaborated with scholars based in Qatar, United Kingdom and Saudi Arabia. Frequent co-authors include Nehad M. Alajez, Radhakrishnan Vishnubalaji, Eyad Elkord, Ramesh Elango, Varun Sasidharan Nair, Salman M. Toor, Rowaida Z. Taha, Tanvir Alam, Zeyaul Islam and Shahryar Khattak. Their work appears in journals such as Seminars in Cancer Biology, Cell Death Discovery, Cancer Cell International, Cancers and Clinical Epigenetics.

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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