Fangge Li

740 citations
10 papers · 385 · h-index 7

Impact in

  • Aging top 10%
  • Immunology top 10%
    • Invertebrate Immune Response Mechanisms
    • Aquaculture disease management and microbiota

Papers in

    • Genetic Associations and Epidemiology 2
    • Invertebrate Immune Response Mechanisms 3
    • Aquaculture disease management and microbiota 2

Fangge Li

10 papers receiving 381 citations

Peers

Fangge Li
Comparison fields: 5 of 62
  • Aging 21
  • Immunology 209
  • Insect Science 114
  • Cellular and Molecular Neuroscience 106
  • Endocrine and Autonomic Systems 11
Replace Hsiao Yu Fang with:
Hsiao Yu Fang United States
Amélie Avet‐Rochex France
Alessandro Bonfini United States
Zongzhao Zhai China
Philip Houtz United States
Leire Herboso Spain
Alyssa Bost United States
Bumsik Cho South Korea
Karine Narbonne-Reveau France
Ana Paula Elias Portugal
Fangge Li relative to Hsiao Yu Fang United States Hsiao Yu Fang's profile →
Citations per field
00.5×1.5×2.2×
Hsiao Yu Fang · 1×
Citations per year

Countries citing papers authored by Fangge Li

Since Specialization
Citations

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

Fields of papers citing papers by Fangge Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2020165
2 2020125
3 202338
4 201318
5 201915
6 201910
7 20116
8 20185
9 20112
10
Application of Analytic Hierarchy Process Using Accumulation Factor to Evaluate Weight Factors in Sorting Cities
20081

About Fangge Li

Fangge Li is a scholar working on Genetics, Immunology, Molecular Biology, Ecology and Infectious Diseases, having authored 10 papers that have together received 385 indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (3 papers), Genetic Associations and Epidemiology (2 papers), Gene expression and cancer classification (2 papers), Bioinformatics and Genomic Networks (2 papers), Aquaculture disease management and microbiota (2 papers), Iron Metabolism and Disorders (1 paper), Evaluation Methods in Various Fields (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Aging (21 citations), Immunology (209 citations), Insect Science (114 citations), Cellular and Molecular Neuroscience (106 citations) and Endocrine and Autonomic Systems (11 citations). Fangge Li has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Yanhui Hu, Aram Comjean, Norbert Perrimon, Sudhir Gopal Tattikota, Ruei‐Jiun Hung, Shannan Ho Sui, Yifang Liu, Wei Song, Rory Kirchner and Chiwei Xu. Their work appears in journals such as Metallomics, PLoS ONE, Nucleic Acids Research, Proceedings of the National Academy of Sciences and BMC Genomics.

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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