Yu Ding

5.7k total citations · 2 hit papers
117 papers, 3.8k citations indexed

About

Yu Ding is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Yu Ding has authored 117 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 13 papers in Cell Biology. Recurrent topics in Yu Ding's work include Monoclonal and Polyclonal Antibodies Research (12 papers), MicroRNA in disease regulation (10 papers) and Glycosylation and Glycoproteins Research (8 papers). Yu Ding is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (12 papers), MicroRNA in disease regulation (10 papers) and Glycosylation and Glycoproteins Research (8 papers). Yu Ding collaborates with scholars based in China, United States and United Kingdom. Yu Ding's co-authors include Boxun Lu, Yiyan Fei, Xiaoxiong Zeng, Dan Chen, Jia Mi, Youlong Cao, Yamei Yan, Lu Lu, Chunquan Sheng and Guoqiang Dong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Chemical Society Reviews and Genes & Development.

In The Last Decade

Yu Ding

108 papers receiving 3.8k citations

Hit Papers

Gut microbiota modulation and anti-inflammatory propertie... 2019 2026 2021 2023 2019 2021 100 200 300

Peers

Yu Ding
Comparison fields: 5 of 129
  • Molecular Biology 2.4k
  • Oncology 494
  • Plant Science 390
  • Food Science 357
  • Physiology 288
Replace Rita Lang with:
Rita Lang Austria
Paolo Paoli Italy
Yiming Li China
Jinseu Park South Korea
Shu‐Chen Chu Taiwan
Ivano Eberini Italy
Anna Maria Eleuteri Italy
Sung‐Hoon Kim South Korea
Xi Zheng China
David N. Criddle United Kingdom
Rita Lang Austria View profile →
Citations per field, relative to Yu Ding
Yu Ding · 1×
Citations per year, relative to Yu Ding
Yu Ding · 1×

Countries citing papers authored by Yu Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yu Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Ding. A scholar is included among the top collaborators of Yu 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 Yu Ding. Yu 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 0
2 0
3 2
4 0
5 0
6 3
7 8
8 2
9 1
10 1
11 6
12 2
13 91
14 7
15 54
16
Molecular Glues for Targeted Protein Degradation: From Serendipity to Rational Discovery breakdown →
230
17
Host Immune Response Triggered by Graphene Quantum-Dot-Mediated Photodynamic Therapy for Oral Squamous Cell Carcinoma
2
18 53
19 67
20
[Establishment of human cardiac C protein induced experimental autoimmune myocarditis model in rat].
4

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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