Maha Saad

28 papers receiving 1.4k citations

Peers

Maha Saad
Comparison fields: 5 of 102
  • Biomaterials 600
  • Pharmaceutical Science 95
  • Molecular Biology 758
  • Biomedical Engineering 323
  • Oncology 178
Replace Vitaly P. Pozharov with:
Vitaly P. Pozharov United States
Sushilkumar Patil India
Michael Dunne Canada
Ninh M. La‐Beck United States
Dawn Waterhouse Canada
Masazumi Eriguchi Japan
In‐Hyun Lee South Korea
Arehalli S. Manjappa India
Lijuan Wen China
Malathi Anantha Canada
Maha Saad relative to Vitaly P. Pozharov United States Vitaly P. Pozharov's profile →
Citations per field
00.5×1.5×
Vitaly P. Pozharov · 1×
Citations per year

Countries citing papers authored by Maha Saad

Since Specialization
Citations

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

Fields of papers citing papers by Maha Saad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maha Saad, 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 Maha Saad Line = papers co-authored together Maha Saad 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 2008325
2 2008198
3 2010160
4 2008140
5 2006112
6 200684
7 200578
8 200774
9 200761
10 200848
11 201040
12 201732
13 201927
14 201214
15 201312
16 200812
17 20199
18 20108
19 20135
20 20135

About Maha Saad

Maha Saad is a scholar working on Molecular Biology, Biomaterials, Surgery, Pulmonary and Respiratory Medicine and Oncology, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (7 papers), RNA Interference and Gene Delivery (7 papers), Advanced biosensing and bioanalysis techniques (3 papers), Nanoplatforms for cancer theranostics (3 papers), Dendrimers and Hyperbranched Polymers (2 papers), Palliative Care and End-of-Life Issues (2 papers), Electroconvulsive Therapy Studies (2 papers) and Case Reports on Hematomas (1 paper). The work is most often cited by research in Biomaterials (600 citations), Pharmaceutical Science (95 citations), Molecular Biology (758 citations), Biomedical Engineering (323 citations) and Oncology (178 citations). Maha Saad has collaborated with scholars based in United States, Taiwan and Egypt. Frequent co-authors include Tamara Minko, Olga B. Garbuzenko, Jayant Khandare, Vitaly P. Pozharov, Pooja Chandna, Refika I. Pakunlu, Alexandre A. Vetcher, Viatcheslav A. Soldatenkov, Kenneth R. Reuhl and Gediminas Mainelis. Their work appears in journals such as Journal of Controlled Release, American Journal of Health-System Pharmacy, Palliative & Supportive Care, Anti-Cancer Agents in Medicinal Chemistry and Clinical Cancer Research.

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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