Lan Chang

1.1k citations
44 papers · 795 · h-index 18

Impact in

Papers in

Lan Chang

44 papers receiving 787 citations

Peers

Lan Chang
Comparison fields: 5 of 116
  • Biological Psychiatry 49
  • Neurology 95
  • Physiology 50
  • Physiology 213
  • Cellular and Molecular Neuroscience 123
Replace Carlo Follo with:
Carlo Follo Italy
Chunli Liu China
Alexandra Grubman Australia
Yan Huang China
Karolina Pierzynowska Poland
Jiang Tian United States
Atsuko Nakanishi Japan
Peng Sun China
Fabrizio Angius Italy
Lan Chang relative to Carlo Follo Italy Carlo Follo's profile →
Citations per field
00.5×1.5×
Carlo Follo · 1×
Citations per year

Countries citing papers authored by Lan Chang

Since Specialization
Citations

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

Fields of papers citing papers by Lan Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201481
2 201374
3 201965
4 200163
5 201433
6 201330
7 201529
8 201827
9 201726
10 201626
11 201824
12 202124
13 201724
14 200623
15 202120
16 201720
17 201819
18 201718
19 202217
20 201717

About Lan Chang

Lan Chang is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Inorganic Chemistry and Materials Chemistry, having authored 44 papers that have together received 795 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Metal-Organic Frameworks: Synthesis and Applications (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Epigenetics and DNA Methylation (4 papers), Neonatal and Maternal Infections (2 papers), Nuclear Physics and Applications (2 papers), Bone Tissue Engineering Materials (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Biological Psychiatry (49 citations), Neurology (95 citations), Physiology (50 citations), Physiology (213 citations) and Cellular and Molecular Neuroscience (123 citations). Lan Chang has collaborated with scholars based in China, Ireland and United States. Frequent co-authors include Shujun Xu, Xiaowei Chen, Xiaofei Wei, Wen‐Juan Ruan, Roger Anwyl, Qinwen Wang, Jean‐San Chia, Chia‐Tung Shun, Jen‐Yang Chen and Di Ning. Their work appears in journals such as Neuroscience, PLoS ONE, Infection and Immunity, Chemistry - A European Journal and RSC Advances.

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