Hamad Ali

2.0k citations
64 papers · 1.1k · h-index 19

Impact in

  • Genetics top 5%
    • Mesenchymal stem cell research
    • Genetic and Kidney Cyst Diseases
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • Pluripotent Stem Cells Research 7
    • Mesenchymal stem cell research 8
    • Genetic and Kidney Cyst Diseases 7

Hamad Ali

57 papers receiving 1.0k citations

Peers

Hamad Ali
Comparison fields: 5 of 99
  • Genetics 163
  • Infectious Diseases 276
  • Developmental Neuroscience 53
  • Nephrology 43
  • Parasitology 40
Replace Armando Gamboa‐Domínguez with:
Armando Gamboa‐Domínguez Mexico
Eun Youn Roh South Korea
Giusi Prencipe Italy
Randal K. Gregg United States
Beata Berent-Maoz United States
Hidekazu Koyama Japan
W. A. Buurman Netherlands
Suneil Malik Canada
Neil Sweezey Canada
Catriona A. Wagner United States
Hamad Ali relative to Armando Gamboa‐Domínguez Mexico Armando Gamboa‐Domínguez's profile →
Citations per field
00.5×6.6×
Armando Gamboa‐Domínguez · 1×
Citations per year

Countries citing papers authored by Hamad Ali

Since Specialization
Citations

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

Fields of papers citing papers by Hamad Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200871
2 202070
3 201965
4 202161
5 200058
6 201951
7 201549
8 202045
9 202142
10 201037
11 202035
12 201932
13 201731
14 201525
15 202124
16 200923
17 201622
18 202120
19 201219
20 202018

About Hamad Ali

Hamad Ali is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Genetics and Physiology, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (8 papers), Genetic and Kidney Cyst Diseases (7 papers), COVID-19 Clinical Research Studies (7 papers), Pluripotent Stem Cells Research (7 papers), Adipose Tissue and Metabolism (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Tissue Engineering and Regenerative Medicine (4 papers). The work is most often cited by research in Genetics (163 citations), Infectious Diseases (276 citations), Developmental Neuroscience (53 citations), Nephrology (43 citations) and Parasitology (40 citations). Hamad Ali has collaborated with scholars based in Kuwait, United States and United Kingdom. Frequent co-authors include Fahd Al‐Mulla, Mohamed Abu‐Farha, Jehad Abubaker, Ashraf Al Madhoun, Marcin Jurga, Thangavel Alphonse Thanaraj, Colin McGuckin, Preethi Cherian, Irina Al‐Khairi and Hussain Bahbahani. Their work appears in journals such as PLoS ONE, BMC Nephrology, Heliyon, Acta Neurobiologiae Experimentalis and Frontiers in Medicine.

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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