Dai Li

2.5k citations
106 papers · 1.9k indexed · h-index 25

Dai Li

100 papers receiving 1.9k citations

Peers

Dai Li
Comparison fields: 5 of 125
  • Cancer Research 284
  • Pharmacology 298
  • Molecular Biology 982
  • Immunology 233
  • Complementary and alternative medicine 87
Replace Xiong Zhang with:
Xiong Zhang China
Danny Ling Wang Taiwan
Fang Lü China
Xue Wang China
Hongyu Zhou China
Dan Meng China
Rie Matsushima‐Nishiwaki Japan
Wangsen Cao China
Anna Grochot‐Przeczek Poland
Dai Li relative to Xiong Zhang China Xiong Zhang's profile →
Citations per field
00.5×1.7×
Xiong Zhang · 1×
Citations per year

Countries citing papers authored by Dai Li

Since Specialization
Citations

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

Fields of papers citing papers by Dai Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 202417
3 20245
4 20245
5 20244
6 20243
7 20236
8 20238
9 20209
10 201954
11 201766
12 201730
13 20161
14 201615
15
The role of CGRP and CALCA T-692C single-nucleotide polymorphism in psoriasis vulgaris.
201511
16 201515
17 201328
18 20121
19
Deletion of tumor suppressor P53gene in diffuse large B-cell lymphoma with heterogeneous immunophenotype
20121
20
Progress of the interaction between small--molecules and deoxyribonucleic acid
20051

About Dai Li

Dai Li is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Immunology, Molecular Biology and Pharmacology, having authored 106 papers that have together received 1.9k indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (9 papers), Cancer-related molecular mechanisms research (9 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers), RNA modifications and cancer (6 papers), Pulmonary Hypertension Research and Treatments (5 papers), Natural product bioactivities and synthesis (4 papers), Biological Activity of Diterpenoids and Biflavonoids (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Cancer Research (284 citations), Pharmacology (298 citations), Molecular Biology (982 citations), Immunology (233 citations) and Complementary and alternative medicine (87 citations). Dai Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Qi Li, Fan Wu, Yuanyuan Jing, Rong Li, Jiang Ting-liang, Hai-Ru Huo, Yun‐Peng Sui, Haiyu Zhou, Weihao Wang and Feng Sui. Their work appears in journals such as European Journal of Pharmacology, Canadian Journal of Physiology and Pharmacology, International Immunopharmacology, Scientific Reports and World Journal of Surgical Oncology.

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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