Yingqiu Li

1.3k citations
62 papers · 1.0k indexed · h-index 17
Topics
Ubiquitin and proteasome pathways (9 papers)Stochastic processes and statistical mechanics (8 papers)Probability and Risk Models (6 papers)
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Yingqiu Li

58 papers receiving 987 citations

Peers

Yingqiu Li
Comparison fields: 5 of 118
  • Molecular Biology 667
  • Immunology 197
  • Oncology 189
  • Cancer Research 168
  • Cell Biology 99
Replace Marion A. Brach with:
Marion A. Brach Germany
Ian R. Watson Canada
Zhichao Wang China
Sarah Hawley United States
Nigel Clegg United States
Jing Du China
Jeffrey A. Hooke United States
Yunyun Zhou United States
Wulfran Cacheux France
Gregory Riedlinger United States
Yingqiu Li relative to Marion A. Brach Germany Marion A. Brach's profile →
Citations per field
00.5×10×20×30×38.5×
Marion A. Brach · 1×
Citations per year

Countries citing papers authored by Yingqiu Li

Since Specialization
Citations

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

Fields of papers citing papers by Yingqiu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingqiu Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yingqiu Li. A scholar is included among the top collaborators of Yingqiu Li 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 Yingqiu Li. Yingqiu Li 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
#WorkIndexed citations
1 5
2 0
3 0
4 3
5 13
6 8
7 11
8 11
9 6
10 2
11 15
12 5
13 17
14 22
15 12
16
Tabu search method for shortest path problem
1
17
Effect of High Intensity Pulsed Electric Field on Inactivation of Soybean Trypsin Inhibitor
1
18 78
19 42
20 100

About Yingqiu Li

Yingqiu Li is a scholar working on Mathematical Physics, Cancer Research and Statistics and Probability, having authored 62 papers that have together received 1.0k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (9 papers), Stochastic processes and statistical mechanics (8 papers) and Probability and Risk Models (6 papers). The work is most often cited by research in Cancer Research (168 citations), Molecular Biology (667 citations) and Immunology (197 citations). Yingqiu Li has collaborated with scholars based in China, United States and France. Frequent co-authors include Jiahuai Han, Edward Y. Skolnik, Irene E. Zohn, Kathryn V. Anderson, Amnon Altman, Lee Niswander, Junru Hu, Xiaowen Zhou, Binggang Sun and Hiroki Tabata. Their work appears in journals such as Cell, Journal of Biological Chemistry and The EMBO Journal.

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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