Mohamed Hammad

562 citations
29 papers · 426 · h-index 13

Impact in

    • Virus-based gene therapy research
    • Mesenchymal stem cell research
    • MicroRNA in disease regulation

Papers in

    • RNA Interference and Gene Delivery 4
    • Virus-based gene therapy research 5
    • Mesenchymal stem cell research 2

Mohamed Hammad

28 papers receiving 421 citations

Peers

Mohamed Hammad
Comparison fields: 5 of 78
  • Genetics 51
  • Cancer Research 71
  • Oncology 92
  • Molecular Biology 210
  • Developmental Neuroscience 12
Replace Shuguang Wu with:
Shuguang Wu China
Pei‐Fen Su Taiwan
Rozália Laczkó United States
Huei-Mei Huang Taiwan
Yantang Wang China
Cheng Ni China
Sybilla Matuszczak Poland
Joel P. Joseph India
Tianli Yue China
Ali Kuraishy United States
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Citations per field
00.5×4.2×
Shuguang Wu · 1×
Citations per year

Countries citing papers authored by Mohamed Hammad

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Hammad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202164
2 201853
3 201838
4 201935
5 202125
6 202021
7 201121
8 201119
9 201219
10 201117
11 202316
12 201414
13 201713
14 201110
15 202010
16 201010
17 201810
18 20217
19 20216
20 20204

About Mohamed Hammad

Mohamed Hammad is a scholar working on Molecular Biology, Genetics, Animal Science and Zoology, Hematology and Immunology, having authored 29 papers that have together received 426 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Animal Virus Infections Studies (4 papers), RNA Interference and Gene Delivery (4 papers), Mesenchymal stem cell research (2 papers), Cancer Research and Treatments (2 papers), Liver physiology and pathology (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Genetics (51 citations), Cancer Research (71 citations), Oncology (92 citations), Molecular Biology (210 citations) and Developmental Neuroscience (12 citations). Mohamed Hammad has collaborated with scholars based in United States, Egypt and Saudi Arabia. Frequent co-authors include Karen S. Aboody, Larry Walker, Mohamed S. Abdel‐Bakky, Rachael Mooney, Mohammad Ashfaq, Marcin Kortylewski, Elaine Kang, Thanh H. Dellinger, Abdullah Alawad and Khaled M. Darwish. Their work appears in journals such as Molecular Therapy — Oncolytics, Archives of Toxicology, Molecular Therapy — Nucleic Acids, Stem Cell Research & Therapy and Natural Product Communications.

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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