LI De-shan

2.1k citations
4 papers · 1.8k · 1 hit paper · h-index 3

Impact in

    • Fibroblast Growth Factor Research
    • Kruppel-like factors research
    • Epigenetics and DNA Methylation
    • Metabolism, Diabetes, and Cancer
  • Physiology top 5%
    • Adipose Tissue and Metabolism

Papers in

LI De-shan

4 papers receiving 1.7k citations

LI De-shan's Hit Papers

FGF-21 as a novel metabolic regulator 2005 · 1.8k citations
1.8k0+7+14Years since publication50010001.5k

Peers

LI De-shan
Comparison fields: 5 of 84
  • Molecular Biology 1.3k
  • Physiology 332
  • Endocrine and Autonomic Systems 74
  • Epidemiology 252
  • Nephrology 53
Replace Tatiyana L. Shiyanova with:
Tatiyana L. Shiyanova United States
Amy Ford United States
Vinay Parameswara United States
Sabrina Prudente Italy
Terrie‐Anne Cock Australia
Tim B. Koenen Netherlands
Elena A. De Filippis United States
Hiroshi Satonaka Japan
Søren A. Urhammer Denmark
Burritt Haag United States
LI De-shan relative to Tatiyana L. Shiyanova United States Tatiyana L. Shiyanova's profile →
Citations per field
00.5×1.5×
Tatiyana L. Shiyanova · 1×
Citations per year

Countries citing papers authored by LI De-shan

Since Specialization
Citations

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

Fields of papers citing papers by LI De-shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by LI De-shan. 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 LI De-shan. The network helps show where LI De-shan may publish in the future.

Co-authors

The 16 scholars most cited alongside LI De-shan, 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 LI De-shan Line = papers co-authored together LI De-shan links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
FGF-21 as a novel metabolic regulator
Hit paper breakdown →
20051764
2 20219
3 20217
4
The Importance of Academic Management in Teaching Management of Institutions of Higher Learning
20051

About LI De-shan

LI De-shan is a scholar working on Economics and Econometrics, Molecular Biology, Infectious Diseases, Organic Chemistry and Surgery, having authored 4 papers that have together received 1.8k indexed citations. Recurring topics across this work include Energy, Environment, Economic Growth (2 papers), Kruppel-like factors research (1 paper), Epigenetics and DNA Methylation (1 paper) and Fibroblast Growth Factor Research (1 paper). The work is most often cited by research in Molecular Biology (1.3k citations), Physiology (332 citations), Endocrine and Autonomic Systems (74 citations), Epidemiology (252 citations) and Nephrology (53 citations). LI De-shan has collaborated with scholars based in China and United States. Frequent co-authors include Amy Ford, Julie S. Moyers, Tatiyana L. Shiyanova, Jesper Gromada, Radmila Micanovic, Lisa J. Hammond, George E. Sandusky, Armen B. Shanafelt, Alexei Kharitonenkov and Eric D. Hawkins. Their work appears in journals such as Journal of Clinical Investigation and Polish Journal of Environmental Studies.

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.

Explore authors with similar magnitude of impact