Taiming Li

666 citations
44 papers · 562 · h-index 15

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Atherosclerosis and Cardiovascular Diseases
    • Immune Cell Function and Interaction

Papers in

    • Heat shock proteins research 6
    • RNA Interference and Gene Delivery 5
    • Immunotherapy and Immune Responses 10
    • Atherosclerosis and Cardiovascular Diseases 8
    • Immune Cell Function and Interaction 4

Taiming Li

43 papers receiving 559 citations

Peers

Taiming Li
Comparison fields: 5 of 74
  • Immunology 271
  • Biotechnology 40
  • Molecular Biology 300
  • Genetics 103
  • Endocrinology, Diabetes and Metabolism 58
Replace Daniela Pintérová with:
Daniela Pintérová Czechia
Jarkko Räbinä Finland
Hugo Wolf Austria
Haifeng Song China
Mutita Junking Thailand
Jing Geng China
Zhongcheng Zou United States
Kevin D. Cook United States
Yuko Takahashi Japan
Denny H. Liggitt United States
Taiming Li relative to Daniela Pintérová Czechia Daniela Pintérová's profile →
Citations per field
00.5×3.2×
Daniela Pintérová · 1×
Citations per year

Countries citing papers authored by Taiming Li

Since Specialization
Citations

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

Fields of papers citing papers by Taiming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201448
2 200342
3 201135
4 200627
5 200827
6 200627
7 200927
8 200926
9 201125
10 200821
11 201220
12 200916
13 200916
14 200715
15 201114
16 201813
17 200912
18 200911
19 201011
20 202010

About Taiming Li

Taiming Li is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Surgery, having authored 44 papers that have together received 562 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (10 papers), Atherosclerosis and Cardiovascular Diseases (8 papers), Diabetes and associated disorders (6 papers), Pancreatic function and diabetes (6 papers), Heat shock proteins research (6 papers), RNA Interference and Gene Delivery (5 papers), Peptidase Inhibition and Analysis (5 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Immunology (271 citations), Biotechnology (40 citations), Molecular Biology (300 citations), Genetics (103 citations) and Endocrinology, Diabetes and Metabolism (58 citations). Taiming Li has collaborated with scholars based in China and United States. Frequent co-authors include Rongyue Cao, Jie Wu, Jingjing Liu, Jingjing Liu, Yan‐Kai Zhang, Liang Jin, 良樹 鷹津, Yanjun Ma, Dongping Yuan and Yun Xing. Their work appears in journals such as Vaccine, Tumor Biology, Regulatory Peptides, Endocrine Related Cancer and The Journal of Immunology.

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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