Ya Gao

3.6k citations
143 papers · 2.8k · h-index 31

Impact in

Papers in

    • Protein Structure and Dynamics 15
    • Advanced biosensing and bioanalysis techniques 9
    • RNA and protein synthesis mechanisms 8
    • DNA and Nucleic Acid Chemistry 6
    • Nanoplatforms for cancer theranostics 15
    • Biosensors and Analytical Detection 7

Ya Gao

135 papers receiving 2.8k citations

Peers

Ya Gao
Comparison fields: 5 of 132
  • Pharmaceutical Science 166
  • Biomaterials 336
  • Biomedical Engineering 864
  • Molecular Biology 1.0k
  • Materials Chemistry 665
Replace Majid Sharifi with:
Majid Sharifi Iran
Xinli Liu China
Jolanta Saczko Poland
Agnishwar Girigoswami India
Ioannis S. Vizirianakis Greece
Juan C. Stockert Spain
Kobra Omidfar Iran
João Paulo Figueiró Longo Brazil
Na Li China
Jinsong Ding China
Ya Gao relative to Majid Sharifi Iran Majid Sharifi's profile →
Citations per field
00.5×10×20×29×
Majid Sharifi · 1×
Citations per year

Countries citing papers authored by Ya Gao

Since Specialization
Citations

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

Fields of papers citing papers by Ya Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015148
2 2018107
3 202089
4 201987
5 202181
6 202078
7 201976
8 201972
9 201867
10 201465
11 201655
12 201953
13 202349
14 201945
15 201943
16 202343
17 201139
18 201938
19 201838
20 201837

About Ya Gao

Ya Gao is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Electrical and Electronic Engineering and Biomaterials, having authored 143 papers that have together received 2.8k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (15 papers), Protein Structure and Dynamics (15 papers), Advanced biosensing and bioanalysis techniques (9 papers), RNA and protein synthesis mechanisms (8 papers), Biosensors and Analytical Detection (7 papers), Enzyme Structure and Function (7 papers), DNA and Nucleic Acid Chemistry (6 papers) and Advanced Nanomaterials in Catalysis (6 papers). The work is most often cited by research in Pharmaceutical Science (166 citations), Biomaterials (336 citations), Biomedical Engineering (864 citations), Molecular Biology (1.0k citations) and Materials Chemistry (665 citations). Ya Gao has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Yuejun Kang, Peng Xue, Zhigang Xu, Ruihao Yang, Mengmeng Hou, Shengfu Wang, Xun Zhang, Wei Wen, Yurui Xu and Xinghai Ning. Their work appears in journals such as The Journal of Physical Chemistry B, Chemical Physics Letters, Journal of Chemical Information and Modeling, Biosensors and Bioelectronics and New Journal of Chemistry.

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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