Tiejun Li

2.5k citations
85 papers · 1.4k · h-index 22

Impact in

Papers in

    • Gene Regulatory Network Analysis 20
    • Single-cell and spatial transcriptomics 9
    • stochastic dynamics and bifurcation 10
    • Advanced Thermodynamics and Statistical Mechanics 9
    • Model Reduction and Neural Networks 5

Tiejun Li

80 papers receiving 1.4k citations

Peers

Tiejun Li
Comparison fields: 5 of 144
  • Statistical and Nonlinear Physics 235
  • Biotechnology 126
  • Biophysics 65
  • Modeling and Simulation 50
  • Molecular Biology 599
Replace Ursula Kummer with:
Ursula Kummer Germany
Philipp Thomas United Kingdom
Ralf Steuer Germany
Robert A. Singer United States
Timothy S. Gardner United States
Marcus Weber Germany
Sang-Bum Lee South Korea
Eric von Lieres Germany
Rudiyanto Gunawan United States
Tiejun Li relative to Ursula Kummer Germany Ursula Kummer's profile →
Citations per field
00.5×3.1×
Ursula Kummer · 1×
Citations per year

Countries citing papers authored by Tiejun Li

Since Specialization
Citations

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

Fields of papers citing papers by Tiejun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tiejun Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tiejun Li Line = papers co-authored together Tiejun Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201387
2 201777
3 200469
4 200867
5 201460
6 202160
7 200051
8 200749
9 201448
10 201646
11 201840
12 201536
13 200834
14 202131
15 201227
16 202226
17 202224
18 201224
19 200724
20 200724

About Tiejun Li

Tiejun Li is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Biotechnology, Materials Chemistry and Atomic and Molecular Physics, and Optics, having authored 85 papers that have together received 1.4k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (20 papers), stochastic dynamics and bifurcation (10 papers), Single-cell and spatial transcriptomics (9 papers), Advanced Thermodynamics and Statistical Mechanics (9 papers), Marine Sponges and Natural Products (8 papers), Probabilistic and Robust Engineering Design (5 papers), Evolution and Genetic Dynamics (5 papers) and Model Reduction and Neural Networks (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (235 citations), Biotechnology (126 citations), Biophysics (65 citations), Modeling and Simulation (50 citations) and Molecular Biology (599 citations). Tiejun Li has collaborated with scholars based in China, United States and Italy. Frequent co-authors include E Weinan, Pingwen Zhang, Xiaoguang Li, Luonan Chen, Peijie Zhou, Fangting Li, Eric Vanden‐Eijnden, Peng Sun, Qing Nie and Wei Zhang. Their work appears in journals such as Multiscale Modeling and Simulation, The Journal of Chemical Physics, Communications in Mathematical Sciences, PLoS Computational Biology and Marine Drugs.

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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