Ya Ma

46 papers receiving 1.9k citations

Ya Ma's Hit Papers

Tea leaf-derived exosome-like nanotherapeutics retard breast tumor growth by pro-apoptosis and microbiota modulation 2023 · 144 citations
1440+1+2Years since publication4080120

Peers

Ya Ma
Comparison fields: 5 of 108
  • Pharmaceutical Science 203
  • Electrochemistry 201
  • Biomaterials 415
  • Molecular Medicine 133
  • Bioengineering 94
Replace Donghui Song with:
Donghui Song United States
Kobra Omidfar Iran
Niranjan G. Kotla India
Fatemeh Oroojalian Iran
Wenying Zhong China
Md Nurunnabi United States
Lene Jørgensen Denmark
Veera Sadhu India
Karen C. Waldron Canada
Pan He China
Ya Ma relative to Donghui Song United States Donghui Song's profile →
Citations per field
00.5×1.5×2.3×
Donghui Song · 1×
Citations per year

Countries citing papers authored by Ya Ma

Since Specialization
Citations

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

Fields of papers citing papers by Ya Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019223
2 2021152
3
Tea leaf-derived exosome-like nanotherapeutics retard breast tumor growth by pro-apoptosis and microbiota modulation
Hit paper breakdown →
2023144
4 202299
5 201696
6 202285
7 201978
8 202274
9 202171
10 202168
11 202052
12 202350
13 202447
14 202046
15 201946
16 201645
17 202345
18 201739
19 201938
20 202037

About Ya Ma

Ya Ma is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Electrochemistry, Biomedical Engineering and Biomaterials, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include Electrochemical sensors and biosensors (17 papers), Electrochemical Analysis and Applications (13 papers), Nanoplatforms for cancer theranostics (9 papers), Advanced biosensing and bioanalysis techniques (7 papers), Analytical Chemistry and Sensors (7 papers), Antimicrobial Peptides and Activities (6 papers), Advanced Drug Delivery Systems (6 papers) and Silk-based biomaterials and applications (5 papers). The work is most often cited by research in Pharmaceutical Science (203 citations), Electrochemistry (201 citations), Biomaterials (415 citations), Molecular Medicine (133 citations) and Bioengineering (94 citations). Ya Ma has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Bo Xiao, Lishi Wang, Fangyin Dai, Menghang Zu, Qiang Zeng, Jianfeng Sun, Shuangquan Gou, Xiaolei Shen, Yamei Huang and Xiaoling Tong. Their work appears in journals such as Talanta, Journal of Electroanalytical Chemistry, ACS Biomaterials Science & Engineering, Microchemical Journal and Biomaterials.

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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