Ting Yang

2.3k total citations
65 papers, 1.3k citations indexed

About

Ting Yang is a scholar working on Molecular Biology, Insect Science and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ting Yang has authored 65 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 12 papers in Insect Science and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ting Yang's work include CRISPR and Genetic Engineering (13 papers), Insect symbiosis and bacterial influences (8 papers) and Mosquito-borne diseases and control (7 papers). Ting Yang is often cited by papers focused on CRISPR and Genetic Engineering (13 papers), Insect symbiosis and bacterial influences (8 papers) and Mosquito-borne diseases and control (7 papers). Ting Yang collaborates with scholars based in China, United States and France. Ting Yang's co-authors include Omar S. Akbari, Ming Li, Michelle Bui, Anna Buchman, John M. Marshall, Bradley J. White, Igor Antoshechkin, Nikolay P. Kandul, Fei Xie and Qian Shi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Ting Yang

62 papers receiving 1.3k citations

Peers

Ting Yang
Comparison fields: 5 of 141
  • Molecular Biology 715
  • Insect Science 389
  • Public Health, Environmental and Occupational Health 242
  • Genetics 139
  • Plant Science 123
Replace Cécile Vignal with:
Cécile Vignal France
Camila Alexandrina Figueiredo Brazil
Hui Tao China
Iram P. Rodríguez‐Sánchez Mexico
Charlotte Peeters Belgium
Enrique Fernández‐Caldas Spain
Carolina López‐Cano Spain
J. D. Wilkinson United Kingdom
Ying He China
Fengwen Zhang China
Cécile Vignal France View profile →
Citations per field, relative to Ting Yang
Ting Yang · 1×
Citations per year, relative to Ting Yang
Ting Yang · 1×

Countries citing papers authored by Ting Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ting Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Yang. A scholar is included among the top collaborators of Ting Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ting Yang. Ting Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 5
4 9
5 0
6 1
7 2
8 3
9 5
10 17
11 1
12 39
13 6
14 21
15 14
16 146
17 55
18 83
19 134
20 3

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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