Ya Gao

3.7k citations
145 papers · 2.9k · 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

138 papers receiving 2.9k citations

Peers

Ya Gao
Comparison fields: 5 of 131
  • Pharmaceutical Science 170
  • Biomaterials 339
  • Biomedical Engineering 876
  • Molecular Biology 1.0k
  • Materials Chemistry 668
Replace Majid Sharifi with:
Majid Sharifi Iran
Xinli Liu China
Jolanta Saczko Poland
Agnishwar Girigoswami India
Juan C. Stockert Spain
Ioannis S. Vizirianakis Greece
Norbert Lange Switzerland
Jinsong Ding China
Na Li China
Ya 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 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015149
2 2018108
3 202091
4 201990
5 202189
6 202084
7 201977
8 201972
9 201868
10 201465
11 201655
12 201953
13 202350
14 202348
15 201946
16 201943
17 202340
18 201939
19 201139
20 201539

About Ya Gao

Ya Gao is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Electrical and Electronic Engineering and Biomaterials, having authored 145 papers that have together received 2.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (15 papers), Nanoplatforms for cancer theranostics (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 Luminescence and Fluorescent Materials (6 papers). The work is most often cited by research in Pharmaceutical Science (170 citations), Biomaterials (339 citations), Biomedical Engineering (876 citations), Molecular Biology (1.0k citations) and Materials Chemistry (668 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, Wei Wen, Shengfu Wang, Xun Zhang, Xinghai Ning and Yurui Xu. Their work appears in journals such as The Journal of Physical Chemistry B, Chemical Physics Letters, Biosensors and Bioelectronics, Journal of Chemical Information and Modeling and International Journal of Gynecological Cancer.

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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