Lan Cheng

1.1k citations
24 papers · 802 · h-index 13

Impact in

  • Genetics top 5%
    • Mesenchymal stem cell research
    • Electrospun Nanofibers in Biomedical Applications

Papers in

Lan Cheng

23 papers receiving 788 citations

Peers

Lan Cheng
Comparison fields: 5 of 102
  • Genetics 329
  • Biomaterials 193
  • Surgery 391
  • Nuclear and High Energy Physics 59
  • Cardiology and Cardiovascular Medicine 99
Replace Cathleen Enriquez with:
Cathleen Enriquez United States
Francesco Saverio Pastore Italy
Walter Muir United States
Elizabeth H. Danish United States
L. Ferretti France
Christopher G. Schultz Australia
Belinda S.Y. Li United States
Dwaine Rieves United States
Yasuko Abe Japan
Lan Cheng relative to Cathleen Enriquez United States Cathleen Enriquez's profile →
Citations per field
00.5×10×15×19.3×
Cathleen Enriquez · 1×
Citations per year

Countries citing papers authored by Lan Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Lan Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006486
2 201841
3 201429
4 201827
5 201327
6 198327
7 202218
8 202016
9 202216
10 202015
11 202015
12 199213
13 202113
14 198412
15 198410
16 20229
17 20209
18 20237
19 20195
20 19903

About Lan Cheng

Lan Cheng is a scholar working on Public Health, Environmental and Occupational Health, Nuclear and High Energy Physics, Surgery, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 24 papers that have together received 802 indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (6 papers), Nuclear physics research studies (5 papers), Health and Lifestyle Studies (3 papers), Quantum Chromodynamics and Particle Interactions (3 papers), Diabetes Treatment and Management (3 papers), Bone health and osteoporosis research (2 papers), Body Composition Measurement Techniques (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Genetics (329 citations), Biomaterials (193 citations), Surgery (391 citations), Nuclear and High Energy Physics (59 citations) and Cardiology and Cardiovascular Medicine (99 citations). Lan Cheng has collaborated with scholars based in China, Germany and Estonia. Frequent co-authors include Robert L. Wilensky, Hashim Osman, Minmin Lü, Maria Palasis, Glenn M. Polin, Toby Freyman, J. Y. Zeng, Chenggui Wu, Ting Cheng and Xu Chen. Their work appears in journals such as Nuclear Physics A, Scientific Reports, BMC Cardiovascular Disorders, Nutrients and Journal of Clinical Investigation.

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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