Tailin Cui

449 citations
14 papers · 374 · h-index 11

Impact in

  • Pharmacology top 10%
    • Drug-Induced Hepatotoxicity and Protection
    • Pharmacological Effects of Natural Compounds
    • Moyamoya disease diagnosis and treatment

Papers in

    • Connective tissue disorders research 2
    • Genomic variations and chromosomal abnormalities 2
    • Moyamoya disease diagnosis and treatment 3

Tailin Cui

14 papers receiving 362 citations

Peers

Tailin Cui
Comparison fields: 5 of 82
  • Pharmacology 46
  • Rheumatology 56
  • Hepatology 28
  • Genetics 94
  • Neurology 49
Replace Kazuhiro Kudoh with:
Kazuhiro Kudoh Japan
Hairong Zhao China
Füsun Baba Türkiye
Jong Hoon Won South Korea
D J Philbrick Canada
Emídio Marques de Matos‐Neto Brazil
Hyemin Gu South Korea
Juncheng Liu China
Taiji Yamaguchi Japan
Fuli Shi China
Tailin Cui relative to Kazuhiro Kudoh Japan Kazuhiro Kudoh's profile →
Citations per field
00.5×
Kazuhiro Kudoh · 1×
Citations per year

Countries citing papers authored by Tailin Cui

Since Specialization
Citations

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

Fields of papers citing papers by Tailin Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 200757
2 200255
3 200355
4 201040
5 200240
6 200827
7 201024
8 199917
9 200317
10 201115
11 201010
12 20028
13 20106
14 20113

About Tailin Cui

Tailin Cui is a scholar working on Genetics, Rheumatology, Physiology, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health, having authored 14 papers that have together received 374 indexed citations. Recurring topics across this work include Moyamoya disease diagnosis and treatment (3 papers), Connective tissue disorders research (2 papers), Neuropeptides and Animal Physiology (2 papers), Asthma and respiratory diseases (2 papers), Nitric Oxide and Endothelin Effects (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper) and Alcohol Consumption and Health Effects (1 paper). The work is most often cited by research in Pharmacology (46 citations), Rheumatology (56 citations), Hepatology (28 citations), Genetics (94 citations) and Neurology (49 citations). Tailin Cui has collaborated with scholars based in Japan, South Korea and Germany. Frequent co-authors include Masahiko Kusunose, Yutaka Nishioka, Shojiro Kyotani, Saburo Yoshioka, Mitsuhiko Miyamura, Atsuhide Hamada, Hirofumi Nakaoka, Atsushi Tajima, Hidetoshi Kasuya and Boris Krischek. Their work appears in journals such as Biological and Pharmaceutical Bulletin, Nitric Oxide, Immunogenetics, International Journal of Immunogenetics and Stroke.

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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