Sima Rahimian

675 citations
10 papers · 561 · h-index 9

Impact in

Papers in

    • RNA Interference and Gene Delivery 4
    • Advanced biosensing and bioanalysis techniques 1
    • Protein purification and stability 1
    • Immunotherapy and Immune Responses 4

Sima Rahimian

10 papers receiving 556 citations

Peers

Sima Rahimian
Comparison fields: 5 of 82
  • Pharmaceutical Science 102
  • Biomaterials 163
  • Immunology 180
  • Molecular Medicine 30
  • Automotive Engineering 68
Replace Gordon M. Xiong with:
Gordon M. Xiong Singapore
Morteza Sarmadi United States
A.L. Torres Portugal
Dieudonné R. Baganizi United States
Elisabeth Vey Switzerland
Filipa Lebre Portugal
Fumiaki Shima Japan
Yandong Mu China
Stefania Mazzitelli Italy
Sahar Awwad United Kingdom
Sima Rahimian relative to Gordon M. Xiong Singapore Gordon M. Xiong's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sima Rahimian

Since Specialization
Citations

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

Fields of papers citing papers by Sima Rahimian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2014118
2 201393
3 201590
4 201586
5 201461
6 202144
7 201430
8 201518
9 202016
10 20125

About Sima Rahimian

Sima Rahimian is a scholar working on Molecular Biology, Immunology, Pharmaceutical Science, Biomaterials and Oncology, having authored 10 papers that have together received 561 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), RNA Interference and Gene Delivery (4 papers), Advanced Drug Delivery Systems (3 papers), biodegradable polymer synthesis and properties (2 papers), 3D Printing in Biomedical Research (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Neuroscience and Neural Engineering (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Pharmaceutical Science (102 citations), Biomaterials (163 citations), Immunology (180 citations), Molecular Medicine (30 citations) and Automotive Engineering (68 citations). Sima Rahimian has collaborated with scholars based in Netherlands, Iran and Switzerland. Frequent co-authors include Wim E. Hennink, Maryam Amidi, Jan Willem Kleinovink, Marieke F. Fransen, Ferry Ossendorp, Mies J. van Steenbergen, Tina Vermonden, Cornelus F. van Nostrum, Kristel W. M. Boere and Debby Gawlitta. Their work appears in journals such as Biomaterials, Journal of Controlled Release, Pharmaceutical Research, Acta Biomaterialia and International Journal of Pharmaceutics.

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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