Eric Hsu

884 citations
19 papers · 775 · h-index 12

Impact in

Papers in

    • RNA Interference and Gene Delivery 6
    • Fibroblast Growth Factor Research 5
    • Bone Metabolism and Diseases 2
    • Protein purification and stability 2
    • Wound Healing and Treatments 2

Eric Hsu

19 papers receiving 749 citations

Peers

Eric Hsu
Comparison fields: 5 of 72
  • Rehabilitation 62
  • Molecular Medicine 39
  • Molecular Biology 327
  • Biomaterials 53
  • Urology 25
Replace Behrouz Farhadihosseinabadi with:
Behrouz Farhadihosseinabadi Iran
Sabrina Kellouche France
Miguel Concha Chile
Thoudam Debraj Singh South Korea
Maohua Cai China
Johanna Jokinen Finland
Yanchun Quan China
Anca Onaciu Romania
Anastasia Kristine Varanko United States
Sang Hyuk Lee South Korea
Eric Hsu relative to Behrouz Farhadihosseinabadi Iran Behrouz Farhadihosseinabadi's profile →
Citations per field
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Behrouz Farhadihosseinabadi · 1×
Citations per year

Countries citing papers authored by Eric Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Eric Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1994166
2 2010135
3 2011121
4 199472
5 201270
6 200636
7 199833
8 199825
9 201420
10 202119
11 201216
12 201315
13 199612
14 19939
15 20137
16 20116
17 20216
18 19935
19 20102

About Eric Hsu

Eric Hsu is a scholar working on Molecular Biology, Rehabilitation, Reproductive Medicine, Immunology and Molecular Medicine, having authored 19 papers that have together received 775 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (6 papers), Fibroblast Growth Factor Research (5 papers), Bone Metabolism and Diseases (2 papers), Wound Healing and Treatments (2 papers), Sperm and Testicular Function (2 papers), Protein purification and stability (2 papers), Pregnancy and preeclampsia studies (1 paper) and Orthopedic Infections and Treatments (1 paper). The work is most often cited by research in Rehabilitation (62 citations), Molecular Medicine (39 citations), Molecular Biology (327 citations), Biomaterials (53 citations) and Urology (25 citations). Eric Hsu has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Charles F. Morris, W C Kenney, Donna L. Yanagihara, Dimitry M. Danilenko, Glenn F. Pierce, Tsutomu Arakawa, Jeffrey O. Hollinger, Linda Owers Narhi, Arun R. Shrivats and Krzysztof Aleksander Matyjaszewski. Their work appears in journals such as Biomacromolecules, Journal of Reproductive Immunology, Molecular Cancer Therapeutics, Protein Expression and Purification and Materials.

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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