Tianfa Li

489 citations
23 papers · 335 · h-index 11

Impact in

Papers in

Tianfa Li

23 papers receiving 335 citations

Peers

Tianfa Li
Comparison fields: 5 of 80
  • Cancer Research 60
  • Nutrition and Dietetics 35
  • Molecular Biology 143
  • Health, Toxicology and Mutagenesis 28
  • Cardiology and Cardiovascular Medicine 40
Replace Feven Tigistu‐Sahle with:
Feven Tigistu‐Sahle Finland
Luping Du China
RE Brenner Germany
Sophie Mokas Canada
Joseph Gawdzik United States
Rugivan Sabaratnam Denmark
Dewei Peng China
Geer Tian China
Jingwen Zhang China
Tianfa Li relative to Feven Tigistu‐Sahle Finland Feven Tigistu‐Sahle's profile →
Citations per field
00.5×
Feven Tigistu‐Sahle · 1×
Citations per year

Countries citing papers authored by Tianfa Li

Since Specialization
Citations

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

Fields of papers citing papers by Tianfa Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tianfa 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 Tianfa Li Line = papers co-authored together Tianfa Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201696
2 201640
3 201439
4 202026
5 202017
6 201916
7 202015
8 202211
9 202211
10 202111
11 202210
12 202110
13 20229
14 20148
15 20156
16 20192
17 20232
18 20101
19 20251
20 20241

About Tianfa Li

Tianfa Li is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Control and Systems Engineering, Cancer Research and Biomedical Engineering, having authored 23 papers that have together received 335 indexed citations. Recurring topics across this work include Robotic Locomotion and Control (3 papers), Congenital heart defects research (2 papers), Control and Dynamics of Mobile Robots (2 papers), Chromatin Remodeling and Cancer (2 papers), Ferroptosis and cancer prognosis (1 paper), Infectious Aortic and Vascular Conditions (1 paper), Cell death mechanisms and regulation (1 paper) and Heart rate and cardiovascular health (1 paper). The work is most often cited by research in Cancer Research (60 citations), Nutrition and Dietetics (35 citations), Molecular Biology (143 citations), Health, Toxicology and Mutagenesis (28 citations) and Cardiology and Cardiovascular Medicine (40 citations). Tianfa Li has collaborated with scholars based in China and United States. Frequent co-authors include Junli Guo, Hongwei Wei, Jun Wang, Yuanyuan Zhang, Lelai Zhou, Yibin Li, Wei Jie, Shaojiang Zheng, Shan Huang and Shaoli Guo. Their work appears in journals such as Frontiers in Cell and Developmental Biology, BMC Cardiovascular Disorders, Heart, Hypertension and Pharmacoepidemiology and Drug Safety.

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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