Changgui Lan

423 citations
7 papers · 367 · h-index 7

Impact in

Papers in

    • Heat shock proteins research 2
    • Plant Gene Expression Analysis 1
    • Fungal and yeast genetics research 1
    • Genomics and Chromatin Dynamics 1
    • Insect and Pesticide Research 2

Changgui Lan

7 papers receiving 358 citations

Peers

Changgui Lan
Comparison fields: 5 of 70
  • Cancer Research 67
  • Health, Toxicology and Mutagenesis 62
  • Aging 7
  • Molecular Biology 196
  • Developmental Neuroscience 11
Replace Cristina Osorio with:
Cristina Osorio United States
Yao Zhu China
Reiko Kawase Japan
Young-Eun Leem South Korea
Giulia Fragola United States
Sarah Vose United States
Robyn A. Umans United States
Sean C. Thomas Canada
Nir Skalka Israel
José Luis Ventura Mexico
Changgui Lan relative to Cristina Osorio United States Cristina Osorio's profile →
Citations per field
00.5×3.2×
Cristina Osorio · 1×
Citations per year

Countries citing papers authored by Changgui Lan

Since Specialization
Citations

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

Fields of papers citing papers by Changgui Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Changgui Lan, 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 Changgui Lan Line = papers co-authored together Changgui Lan links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2006111
2 200693
3 200446
4 200838
5 200635
6 200333
7 200711

About Changgui Lan

Changgui Lan is a scholar working on Molecular Biology, Insect Science, Cancer Research, Infectious Diseases and Health, Toxicology and Mutagenesis, having authored 7 papers that have together received 367 indexed citations. Recurring topics across this work include Heat shock proteins research (2 papers), Insect and Pesticide Research (2 papers), Viral Infections and Vectors (1 paper), Plant Gene Expression Analysis (1 paper), Toxin Mechanisms and Immunotoxins (1 paper), Fungal and yeast genetics research (1 paper), Genomics and Chromatin Dynamics (1 paper) and Pesticide Exposure and Toxicity (1 paper). The work is most often cited by research in Cancer Research (67 citations), Health, Toxicology and Mutagenesis (62 citations), Aging (7 citations), Molecular Biology (196 citations) and Developmental Neuroscience (11 citations). Changgui Lan has collaborated with scholars based in United States. Frequent co-authors include Zhang Li, David J. Volsky, Galina Bentsman, Sarah M. Mense, Hee Chul Lee, A. Sengupta, Mi Zhou, Amitabha Sengupta, Shan Tang and Frederica P. Perera. Their work appears in journals such as NeuroToxicology, Physiological Genomics, Molecular and Cellular Biology, Biochemical and Biophysical Research Communications and Journal of Biological Chemistry.

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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