Yingqi Song

541 total citations
29 papers, 422 citations indexed

About

Yingqi Song is a scholar working on Molecular Biology, Hematology and Biomedical Engineering. According to data from OpenAlex, Yingqi Song has authored 29 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Hematology and 4 papers in Biomedical Engineering. Recurrent topics in Yingqi Song's work include Protein Degradation and Inhibitors (6 papers), Ubiquitin and proteasome pathways (5 papers) and Multiple Myeloma Research and Treatments (3 papers). Yingqi Song is often cited by papers focused on Protein Degradation and Inhibitors (6 papers), Ubiquitin and proteasome pathways (5 papers) and Multiple Myeloma Research and Treatments (3 papers). Yingqi Song collaborates with scholars based in China, Macao and Hong Kong. Yingqi Song's co-authors include Rong Li, Chung‐Hang Leung, Liming Zhou, Li Li, Wanhe Wang, Dik‐Lung Ma, Guan‐Jun Yang, Xiuying Ma, Frederick A. Ofosu and Yuanyuan Zhang and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Plant Cell.

In The Last Decade

Yingqi Song

25 papers receiving 416 citations

Peers

Yingqi Song
Comparison fields: 5 of 87
  • Molecular Biology 175
  • Plant Science 82
  • Hematology 64
  • Oncology 35
  • Cancer Research 35
Replace Chih‐Wei Hsia with:
Chih‐Wei Hsia Taiwan
Fatemeh Ahmadipour Malaysia
Takuya Matsui Japan
Ruhi Uyar Türkiye
Alireza Mohseni Iran
Villayat Ali India
Sebastian Maxeiner Germany
Meng Chen China
Agnieszka Czechowska Poland
Shi-Wei Chao Taiwan
Chih‐Wei Hsia Taiwan View profile →
Citations per field, relative to Yingqi Song
Yingqi Song · 1×
Citations per year, relative to Yingqi Song
Yingqi Song · 1×

Countries citing papers authored by Yingqi Song

Since Specialization
Citations

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

Fields of papers citing papers by Yingqi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingqi Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yingqi Song. A scholar is included among the top collaborators of Yingqi Song 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 Yingqi Song. Yingqi Song 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 1
3 5
4 4
5 0
6 0
7 21
8 1
9 8
10 8
11 6
12 17
13 8
14 35
15 2
16 15
17 22
18 3
19
Study of screening of strains for degrading cellulose and mechanism of degrading ability
0
20 26

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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2026