Linning Yu

792 citations
14 papers · 593 indexed · h-index 13

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Hepatotoxicity and Protection
  • Toxicology top 5%
    • Bioactive Compounds and Antitumor Agents

Papers in

Linning Yu

14 papers receiving 574 citations

Peers

Linning Yu
Comparison fields: 5 of 78
  • Pharmacology 172
  • Toxicology 58
  • Oncology 163
  • Complementary and alternative medicine 43
  • Pediatrics, Perinatology and Child Health 78
Replace Tomokazu Ohnuma with:
Tomokazu Ohnuma Japan
Chun‐Zhi Ai China
Jouko Uusitalo Finland
Praveen M. Bahadduri United States
Heather E. Kleiner United States
Konstantin Golovine United States
Lijun Wu China
Kiminori Mohri Japan
Rowan Stringer Switzerland
Linning Yu relative to Tomokazu Ohnuma Japan Tomokazu Ohnuma's profile →
Citations per field
00.5×3.1×
Tomokazu Ohnuma · 1×
Citations per year

Countries citing papers authored by Linning Yu

Since Specialization
Citations

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

Fields of papers citing papers by Linning Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2006123
2 200872
3 200465
4 200861
5 200353
6 201051
7 200738
8 200133
9 200922
10 200422
11 200421
12 200317
13 200413
14 20062

About Linning Yu

Linning Yu is a scholar working on Molecular Biology, Toxicology, Genetics, Pharmacology and Pharmacology, having authored 14 papers that have together received 593 indexed citations. Recurring topics across this work include Bioactive Compounds and Antitumor Agents (5 papers), Estrogen and related hormone effects (5 papers), Pharmacological Effects and Toxicity Studies (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Inflammatory mediators and NSAID effects (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Pharmacology (172 citations), Toxicology (58 citations), Oncology (163 citations), Complementary and alternative medicine (43 citations) and Pediatrics, Perinatology and Child Health (78 citations). Linning Yu has collaborated with scholars based in United States and Canada. Frequent co-authors include Judy L. Bolton, Abdul Mutlib, Richard B. van Breemen, Joe Palandra, Timothy G. Brayman, Joseph A. Ware, Anis A. Khan, Hani Zaher, Fagen Zhang and Robert Espina. Their work appears in journals such as Chemical Research in Toxicology, Molecular Pharmaceutics, The FASEB Journal, Drug Metabolism and Disposition and Methods in enzymology on CD-ROM/Methods in enzymology.

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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