Gui Huang

641 citations
20 papers · 528 · h-index 11

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 2
    • CRISPR and Genetic Engineering 2
    • Glycosylation and Glycoproteins Research 1
    • Nanoplatforms for cancer theranostics 5

Gui Huang

18 papers receiving 515 citations

Peers

Gui Huang
Comparison fields: 5 of 88
  • Pharmaceutical Science 95
  • Cancer Research 123
  • Biomaterials 84
  • Molecular Medicine 22
  • Molecular Biology 285
Replace Mandip Singh with:
Mandip Singh United States
Terrick Andey United States
Dulla Naveen Kumar India
Suyash M. Patil United States
Parvin Mahdipoor Canada
Fazhan Wang China
Kadriye Çiftçi United States
Jishan Quan China
Tushar Date India
Mahmoud M. Abd Elwakil Japan
Gui Huang relative to Mandip Singh United States Mandip Singh's profile →
Citations per field
00.5×2×3.3×
Mandip Singh · 1×
Citations per year

Countries citing papers authored by Gui Huang

Since Specialization
Citations

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

Fields of papers citing papers by Gui Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2005145
2 201878
3 201645
4 202142
5 202142
6 202234
7 202331
8 201931
9 202023
10 201912
11 202311
12 20188
13 20197
14 20165
15 20235
16 20244
17 20213
18 20182
19 20190
20 20250

About Gui Huang

Gui Huang is a scholar working on Molecular Biology, Biomedical Engineering, Oncology, Cancer Research and Biomaterials, having authored 20 papers that have together received 528 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (5 papers), Nanoparticle-Based Drug Delivery (3 papers), Cancer-related molecular mechanisms research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), CRISPR and Genetic Engineering (2 papers), Glioma Diagnosis and Treatment (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Pharmaceutical Science (95 citations), Cancer Research (123 citations), Biomaterials (84 citations), Molecular Medicine (22 citations) and Molecular Biology (285 citations). Gui Huang has collaborated with scholars based in China and United States. Frequent co-authors include Na Zhang, Wen Xu, Xuenong Zhang, Wenjun Wan, Jiang Wu, Yan Zhang, Qianglin Zeng, Yamei Zhang, Yu Wang and Hui Li. Their work appears in journals such as International Journal of Pharmaceutics, Cancer Management and Research, Acta Biomaterialia, Advanced Healthcare Materials and Journal of Drug Delivery Science and Technology.

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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