Haifa Shen

16.3k citations
125 papers · 11.6k indexed · 2 hit papers · h-index 46

Impact in

Papers in

    • Nanoparticle-Based Drug Delivery 31
    • RNA Interference and Gene Delivery 36
    • Advanced biosensing and bioanalysis techniques 25

Haifa Shen

123 papers receiving 11.5k citations

Hit Papers

Algorithm for optimized mRNA design improves stability and immunogenicity 2023 · 232 citations
232201520262018202210002.0k3.0k4.0k5.0k

Peers

Haifa Shen
Comparison fields: 5 of 157
  • Biomaterials 4.4k
  • Biomedical Engineering 4.4k
  • Pharmaceutical Science 549
  • Molecular Biology 5.6k
  • Immunology 1.4k
Replace Vladimir R. Muzykantov with:
Vladimir R. Muzykantov United States
Thomas L. Andresen Denmark
Seungpyo Hong United States
Yucai Wang China
Kit S. Lam United States
Horacio Cabral Japan
Yongzhuo Huang China
Weiyue Lu China
Elvin Blanco United States
Arun K. Iyer United States
Haifa Shen relative to Vladimir R. Muzykantov United States Vladimir R. Muzykantov's profile →
Citations per field
00.5×1.5×
Vladimir R. Muzykantov · 1×
Citations per year

Countries citing papers authored by Haifa Shen

Since Specialization
Citations

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

Fields of papers citing papers by Haifa Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202410
2 202412
3 20243
4 20247
5 202236
6 202228
7 20213
8 20215
9 20219
10 202026
11 2020111
12 202012
13 2018123
14 201827
15 2017122
16 20165
17 2016228
18 201578
19 201350
20 2002349

About Haifa Shen

Haifa Shen is a scholar working on Biomaterials, Molecular Biology, Immunology, Cancer Research and Immunology and Allergy, having authored 125 papers that have together received 11.6k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (36 papers), Nanoparticle-Based Drug Delivery (31 papers), Advanced biosensing and bioanalysis techniques (25 papers), Immunotherapy and Immune Responses (16 papers), Nanoplatforms for cancer theranostics (14 papers), Graphene and Nanomaterials Applications (8 papers), Nanopore and Nanochannel Transport Studies (6 papers) and MicroRNA in disease regulation (6 papers). The work is most often cited by research in Biomaterials (4.4k citations), Biomedical Engineering (4.4k citations), Pharmaceutical Science (549 citations), Molecular Biology (5.6k citations) and Immunology (1.4k citations). Haifa Shen has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Mauro Ferrari, Elvin Blanco, Joy Wolfram, Jianliang Shen, Junhua Mai, Yong Yang, Chaofeng Mu, Yuliang Zhao, Xuewu Liu and Mauro Ferrari. Their work appears in journals such as Journal of Biological Chemistry, Journal of Controlled Release, Advanced Healthcare Materials, Scientific Reports and Colloids and Surfaces B Biointerfaces.

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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