Taoyingnan Li

502 total citations
9 papers, 230 citations indexed

About

Taoyingnan Li is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, Taoyingnan Li has authored 9 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Taoyingnan Li's work include Autophagy in Disease and Therapy (4 papers), Phagocytosis and Immune Regulation (2 papers) and Immune Response and Inflammation (2 papers). Taoyingnan Li is often cited by papers focused on Autophagy in Disease and Therapy (4 papers), Phagocytosis and Immune Regulation (2 papers) and Immune Response and Inflammation (2 papers). Taoyingnan Li collaborates with scholars based in Canada, United States and United Kingdom. Taoyingnan Li's co-authors include John H. Brumell, Élise Jacquin, Joanne Durgan, Oliver Florey, Kirsty M. Hooper, Jonathan M. Goodwin, Brian Raught, Étienne Coyaud, Jonathan St‐Germain and Estelle Laurent and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and The Journal of Immunology.

In The Last Decade

Taoyingnan Li

9 papers receiving 229 citations

Peers

Taoyingnan Li
Comparison fields: 5 of 62
  • Molecular Biology 95
  • Epidemiology 90
  • Cell Biology 63
  • Immunology 54
  • Physiology 26
Replace Thabata Duque with:
Thabata Duque United States
Ruobing Liang China
Veena Ammanathan India
Ariel Basulto Perdomo Italy
Alexis Bonfim‐Melo Brazil
Cláudia Brito Portugal
Christopher I. Graham Canada
Éden Ramalho Ferreira Brazil
Shruti Agarwal India
Alfredo Panebra United States
Thabata Duque United States View profile →
Citations per field, relative to Taoyingnan Li
Taoyingnan Li · 1×
Citations per year, relative to Taoyingnan Li
Taoyingnan Li · 1×

Countries citing papers authored by Taoyingnan Li

Since Specialization
Citations

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

Fields of papers citing papers by Taoyingnan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taoyingnan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Taoyingnan Li. A scholar is included among the top collaborators of Taoyingnan 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 Taoyingnan Li. Taoyingnan Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 5
2 107
3 7
4 11
5 17
6 24
7 5
8 41
9 13

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