Jane L. Wang

648 citations
10 papers · 573 · h-index 10

Impact in

    • Inflammatory mediators and NSAID effects
    • Cannabis and Cannabinoid Research
  • Toxicology top 5%
    • Bioactive Compounds and Antitumor Agents

Papers in

    • Inflammatory mediators and NSAID effects 4
    • Cannabis and Cannabinoid Research 3
    • Synthesis and biological activity 2
    • Synthesis of β-Lactam Compounds 2

Jane L. Wang

10 papers receiving 550 citations

Peers

Jane L. Wang
Comparison fields: 5 of 70
  • Pharmacology 267
  • Toxicology 54
  • Organic Chemistry 305
  • Computational Theory and Mathematics 98
  • Pharmaceutical Science 31
Replace Hongzhi Lin with:
Hongzhi Lin China
John R. Springer United States
Oualid Talhi Portugal
Khairia M. Youssef Egypt
Michael Grigalunas Germany
Xing‐Kai Qian China
Kamilia M. Amin Egypt
Albert-José Chulia France
Leili Jalili‐Baleh Iran
David R. Cheshire United Kingdom
Jane L. Wang relative to Hongzhi Lin China Hongzhi Lin's profile →
Citations per field
00.5×10×20×30×37×
Hongzhi Lin · 1×
Citations per year

Countries citing papers authored by Jane L. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jane L. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane L. Wang. 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 Jane L. Wang. The network helps show where Jane L. Wang may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2010304
2 201057
3 201044
4 200344
5 201033
6 201128
7 200221
8 201121
9 200411
10 200910

About Jane L. Wang

Jane L. Wang is a scholar working on Pharmacology, Organic Chemistry, Genetics, Endocrinology, Diabetes and Metabolism and Surgery, having authored 10 papers that have together received 573 indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (4 papers), Cannabis and Cannabinoid Research (3 papers), Estrogen and related hormone effects (3 papers), Cholesterol and Lipid Metabolism (2 papers), Synthesis and biological activity (2 papers), Diet, Metabolism, and Disease (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Synthesis of β-Lactam Compounds (2 papers). The work is most often cited by research in Pharmacology (267 citations), Toxicology (54 citations), Organic Chemistry (305 citations), Computational Theory and Mathematics (98 citations) and Pharmaceutical Science (31 citations). Jane L. Wang has collaborated with scholars based in United States. Frequent co-authors include Matthew J. Graneto, John J. Talley, James R. Kiefer, Ravi G. Kurumbail, Jennifer L. Pawlitz, David C. Limburg, Timothy J. Maziasz, Subo Liao, John R. Springer and Jaime L. Masferrer. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Tetrahedron and Biochemical Pharmacology.

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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