Yuan Li

8.3k total citations · 1 hit paper
212 papers, 3.8k citations indexed

About

Yuan Li is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Yuan Li has authored 212 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, 58 papers in Epidemiology and 28 papers in Oncology. Recurrent topics in Yuan Li's work include Autophagy in Disease and Therapy (19 papers), Liver Disease Diagnosis and Treatment (16 papers) and MicroRNA in disease regulation (10 papers). Yuan Li is often cited by papers focused on Autophagy in Disease and Therapy (19 papers), Liver Disease Diagnosis and Treatment (16 papers) and MicroRNA in disease regulation (10 papers). Yuan Li collaborates with scholars based in China, United States and Canada. Yuan Li's co-authors include Wen‐Xing Ding, Hong‐Min Ni, Wolfgang Maret, Madhu B. Anand‐Srivastava, Masaki Okano, Wei-Wu He, Masahiro Nogami, Shaoping Xie, Katsuzumi Okumura and En Li and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Yuan Li

198 papers receiving 3.7k citations

Hit Papers

Impaired TFEB-Mediated Lysosome Biogenesis and Autophagy ... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers

Yuan Li
Comparison fields: 5 of 147
  • Molecular Biology 1.6k
  • Epidemiology 860
  • Cancer Research 512
  • Oncology 403
  • Physiology 366
Replace Hui Gong with:
Hui Gong China
Li Xiao China
Quan Hong China
Changwei Liu China
Jian Shen China
Yi Chen China
Tingting Liu China
Tian Lan China
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Christian Liedtke Germany
Hui Gong China View profile →
Citations per field, relative to Yuan Li
Yuan Li · 1×
Citations per year, relative to Yuan Li
Yuan Li · 1×

Countries citing papers authored by Yuan Li

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Li. A scholar is included among the top collaborators of Yuan 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 Yuan Li. Yuan 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
# Work Indexed citations
1 2
2 3
3 0
4 3
5 1
6 2
7 7
8 3
9 43
10 39
11 5
12 6
13 23
14 2
15 2
16 15
17 22
18 34
19 4
20
Molecular Cloning and Expression of the fp25k Gene of HaSNPV in E. coli and Preparation of Its Antiserum
2

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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