Yangyang Ding

3.3k total citations
107 papers, 2.1k citations indexed

About

Yangyang Ding is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Hematology. According to data from OpenAlex, Yangyang Ding has authored 107 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 19 papers in Health, Toxicology and Mutagenesis and 17 papers in Hematology. Recurrent topics in Yangyang Ding's work include Cancer-related molecular mechanisms research (7 papers), Effects and risks of endocrine disrupting chemicals (7 papers) and CAR-T cell therapy research (7 papers). Yangyang Ding is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), Effects and risks of endocrine disrupting chemicals (7 papers) and CAR-T cell therapy research (7 papers). Yangyang Ding collaborates with scholars based in China, United States and Nigeria. Yangyang Ding's co-authors include Weiwei Feng, Guanghua Mao, Liuqing Yang, Xiangyang Wu, Shudao Xiong, Linhui Hu, Lianfang Pu, Michael W. Rajala, Albert F. Parlow and Mathieu Laplante and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yangyang Ding

96 papers receiving 2.1k citations

Peers

Yangyang Ding
Comparison fields: 5 of 150
  • Molecular Biology 607
  • Epidemiology 424
  • Physiology 362
  • Oncology 351
  • Immunology 203
Replace Xi Zhang with:
Xi Zhang China
Jianying Guo China
Don‐Kyu Kim South Korea
Ai Sato Japan
Levan Muskhelishvili United States
Zhicheng Wang China
Kyung Eun Kim South Korea
Dong‐Hoon Shin South Korea
Wen Zhang China
Hirohito Mori Japan
Xi Zhang China View profile →
Citations per field, relative to Yangyang Ding
Yangyang Ding · 1×
Citations per year, relative to Yangyang Ding
Yangyang Ding · 1×

Countries citing papers authored by Yangyang Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yangyang Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yangyang Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Yangyang Ding. A scholar is included among the top collaborators of Yangyang Ding 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 Yangyang Ding. Yangyang Ding 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 1
3 0
4 1
5 3
6 0
7 2
8 1
9 4
10 3
11 1
12 8
13 13
14 6
15 124
16 6
17 5
18 39
19 7
20 58

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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