L. Wang

18 papers receiving 512 citations

Peers

L. Wang
Comparison fields: 5 of 87
  • Endocrine and Autonomic Systems 146
  • Behavioral Neuroscience 47
  • Gastroenterology 68
  • Nutrition and Dietetics 101
  • Neurology 90
Replace Jin‐Xia Zhu with:
Jin‐Xia Zhu China
Li‐Fei Zheng China
Herbert S. Ormsbee United States
Thomas O. Mundinger United States
Steven W. Shaver Canada
Simon Verheijden Belgium
Gintautas Grabauskas United States
Patricia A. Glazebrook United States
Muneshige Kaibara Japan
PW Mantyh United States
L. Wang relative to Jin‐Xia Zhu China Jin‐Xia Zhu's profile →
Citations per field
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Jin‐Xia Zhu · 1×
Citations per year

Countries citing papers authored by L. Wang

Since Specialization
Citations

This map shows the geographic impact of 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 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 L. Wang more than expected).

Fields of papers citing papers by L. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2006102
2 201293
3 201450
4 200641
5 200937
6 200334
7 200431
8 200431
9 200422
10
Dexamethasone increases the expression of retinoid X receptor genes in rat hepatoma cell lines.
199421
11 199217
12
Expression of retinoic acid receptor genes in developing rat livers and hepatoma cells.
199216
13 19988
14 19957
15 19957
16 20154
17 19982
18 20211

About L. Wang

L. Wang is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Dermatology and Neurology, having authored 18 papers that have together received 524 indexed citations. Recurring topics across this work include Gastrointestinal motility and disorders (2 papers), Dermatology and Skin Diseases (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), Neuropeptides and Animal Physiology (2 papers), Retinoids in leukemia and cellular processes (2 papers), Fatigue and fracture mechanics (2 papers), Probabilistic and Robust Engineering Design (2 papers) and Regulation of Appetite and Obesity (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (146 citations), Behavioral Neuroscience (47 citations), Gastroenterology (68 citations), Nutrition and Dietetics (101 citations) and Neurology (90 citations). L. Wang has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Yvette Taché, Tao Wu, J. Rivier, Franziska Richter, M.‐F. Chesselet, David W. Adelson, Guillaume Gourcerol, Matthieu Million, Iddo Magen and Sudhakar Subramaniam. Their work appears in journals such as Journal of Molecular Endocrinology, AIAA Journal, Neurogastroenterology & Motility, Peptides and The Journal of Membrane Biology.

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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