Tianda Li

2.0k citations
30 papers · 908 · h-index 15

Impact in

Papers in

    • Pluripotent Stem Cells Research 15
    • CRISPR and Genetic Engineering 15
    • Renal and related cancers 4
    • Epigenetics and DNA Methylation 3
    • Animal Genetics and Reproduction 6

Tianda Li

28 papers receiving 889 citations

Peers

Tianda Li
Comparison fields: 5 of 80
  • Business and International Management 32
  • Aging 23
  • Molecular Biology 657
  • Genetics 192
  • Public Health, Environmental and Occupational Health 143
Replace Daisuke Mashiko with:
Daisuke Mashiko Japan
Quanjun Zhang China
Yaofu Bai China
Karl Petri United States
Ariel Kantor United Kingdom
Xiaoling Yi China
Adam Yongxin Ye China
Matthew VerMilyea United States
A Modzelewski United States
Tianda Li relative to Daisuke Mashiko Japan Daisuke Mashiko's profile →
Citations per field
00.5×1.5×1.9×
Daisuke Mashiko · 1×
Citations per year

Countries citing papers authored by Tianda Li

Since Specialization
Citations

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

Fields of papers citing papers by Tianda Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018215
2 2012134
3 202094
4 201380
5 202063
6 202046
7 201640
8 201933
9 201932
10 201727
11 201718
12 201518
13 201717
14 201617
15 201915
16 201210
17 201310
18 20218
19 20127
20 20216

About Tianda Li

Tianda Li is a scholar working on Molecular Biology, Genetics, Artificial Intelligence, Public Health, Environmental and Occupational Health and Surgery, having authored 30 papers that have together received 908 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (15 papers), CRISPR and Genetic Engineering (15 papers), Animal Genetics and Reproduction (6 papers), Topic Modeling (6 papers), Renal and related cancers (4 papers), Natural Language Processing Techniques (4 papers), Speech and dialogue systems (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Business and International Management (32 citations), Aging (23 citations), Molecular Biology (657 citations), Genetics (192 citations) and Public Health, Environmental and Occupational Health (143 citations). Tianda Li has collaborated with scholars based in China, Canada and Poland. Frequent co-authors include Qi Zhou, Guihai Feng, Kai Xu, Tongtong Cui, Lu Guo, Wei Li, Fei Teng, Qingqin Gao, Jing Li and Haifeng Wan. Their work appears in journals such as Cell Reports, Frontiers in Cell and Developmental Biology, Journal of genetics and genomics, Cell stem cell and Cell Proliferation.

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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