Saed Abbasi

424 citations
15 papers · 298 · h-index 9

Impact in

Papers in

    • RNA Interference and Gene Delivery 4
    • Advanced biosensing and bioanalysis techniques 1
    • Reproductive System and Pregnancy 2
    • Immunotherapy and Immune Responses 2

Saed Abbasi

14 papers receiving 293 citations

Peers

Saed Abbasi
Comparison fields: 5 of 56
  • Biomaterials 52
  • Pharmaceutical Science 20
  • Immunology 64
  • Molecular Biology 198
  • Genetics 47
Replace Itziar Gómez-Aguado with:
Itziar Gómez-Aguado Spain
Nanhui Liu China
Tam Nguyen United States
James Trevor Oswald Canada
Julen Rodríguez-Castejón Spain
Nicholas Flynn United States
Pratikkumar Patel United States
Farzaneh Fayazpour Belgium
Ditlev Birch Denmark
Rohan Palanki United States
Saed Abbasi relative to Itziar Gómez-Aguado Spain Itziar Gómez-Aguado's profile →
Citations per field
00.5×
Itziar Gómez-Aguado · 1×
Citations per year

Countries citing papers authored by Saed Abbasi

Since Specialization
Citations

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

Fields of papers citing papers by Saed Abbasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 202184
2 202061
3 202337
4 202427
5 202120
6 202417
7 202413
8 20169
9 20208
10 20217
11 20226
12 20184
13 20234
14 20251
15 20260

About Saed Abbasi

Saed Abbasi is a scholar working on Molecular Biology, Immunology, Pharmaceutical Science, Biomaterials and Polymers and Plastics, having authored 15 papers that have together received 298 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (4 papers), Nanoparticle-Based Drug Delivery (2 papers), Dendrimers and Hyperbranched Polymers (2 papers), Reproductive System and Pregnancy (2 papers), Immunotherapy and Immune Responses (2 papers), Advancements in Transdermal Drug Delivery (2 papers), Drug Solubulity and Delivery Systems (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Biomaterials (52 citations), Pharmaceutical Science (20 citations), Immunology (64 citations), Molecular Biology (198 citations) and Genetics (47 citations). Saed Abbasi has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Satoshi Uchida, Theofilus A. Tockary, Kazunori Kataoka, Shigeto Fukushima, Kazuko Toh, Anjaneyulu Dirisala, Kotaro Hayashi, Yuki Mochida, Hideyoshi Harashima and Junjie Li. Their work appears in journals such as Molecular Pharmaceutics, Journal of Controlled Release, Nature Biomedical Engineering, Molecular Therapy and Small.

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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