Lan He

655 citations
21 papers · 524 · h-index 13

Impact in

Papers in

Lan He

18 papers receiving 515 citations

Peers

Lan He
Comparison fields: 5 of 82
  • Rehabilitation 92
  • Clinical Biochemistry 50
  • Biomaterials 61
  • Molecular Biology 302
  • Biotechnology 32
Replace Natalie T. Meisler with:
Natalie T. Meisler United States
Shingo Tajima Japan
Nsrein Ali Finland
Peng Luo China
Jang-Hee Hahn South Korea
Yiqing Mao China
Jeremy Soon Kiat Chan Singapore
Jingxia Han China
Shou-Ching Jaminet United States
Guangyu Dong China
Lan He relative to Natalie T. Meisler United States Natalie T. Meisler's profile →
Citations per field
00.5×11.3×
Natalie T. Meisler · 1×
Citations per year

Countries citing papers authored by Lan He

Since Specialization
Citations

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

Fields of papers citing papers by Lan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199989
2 199687
3 201765
4 201951
5 201434
6 201334
7 200525
8 200523
9 201122
10 202121
11 200620
12 201312
13 202112
14 202010
15
[Association of the Pro12Ala and C1431T polymorphism of the PPAR gamma2 gene and their haplotypes with obesity and type 2 diabetes].
20088
16 20106
17 20044
18 20011
19 20250
20 20240

About Lan He

Lan He is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Organic Chemistry, Cardiology and Cardiovascular Medicine and Aquatic Science, having authored 21 papers that have together received 524 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (2 papers), Chemical Synthesis and Analysis (2 papers), Seaweed-derived Bioactive Compounds (2 papers), Inflammasome and immune disorders (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Marine Sponges and Natural Products (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Rehabilitation (92 citations), Clinical Biochemistry (50 citations), Biomaterials (61 citations), Molecular Biology (302 citations) and Biotechnology (32 citations). Lan He has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jeffrey M. Davidson, Jeffrey R. Morgan, Jeffrey S. Whitsitt, Sabine A. Eming, Hongming Pan, Wenquan Niu, Bin Wang, Kenneth N. Broadley, Douglas J. Perkins and Lillian B. Nanney. Their work appears in journals such as Chemical Communications, Journal of Natural Products, Chinese Journal of Chemistry, Scientific Reports and Cell Research.

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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