Fanglei Shi

488 citations
16 papers · 139 · h-index 8

Impact in

Papers in

    • Genomics and Phylogenetic Studies 8
    • Identification and Quantification in Food 3
    • Machine Learning in Bioinformatics 3
    • Primate Behavior and Ecology 5

Fanglei Shi

16 papers receiving 137 citations

Peers

Fanglei Shi
Comparison fields: 5 of 50
  • Environmental Chemistry 26
  • Sensory Systems 10
  • Developmental Biology 4
  • Ecological Modeling 7
  • Health, Toxicology and Mutagenesis 21
Replace Margit Palzenberger with:
Margit Palzenberger Austria
Tommaso Cancellario Spain
W. Calvin Borden United States
Jennifer M. Bayer United States
Brandon S. Guida United States
José Ignacio Arroyo Chile
Christopher Foote United Kingdom
Cameron C. Barth Canada
Miguel Vázquez Archdale Japan
Jia‐Ho Shiu Taiwan
Fanglei Shi relative to Margit Palzenberger Austria Margit Palzenberger's profile →
Citations per field
00.5×3.7×
Margit Palzenberger · 1×
Citations per year

Countries citing papers authored by Fanglei Shi

Since Specialization
Citations

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

Fields of papers citing papers by Fanglei Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201927
2 201518
3 201515
4 201515
5 201413
6 201112
7 201110
8 20209
9 20217
10 20196
11 20212
12 20141
13 20141
14 20181
15 20141
16 20151

About Fanglei Shi

Fanglei Shi is a scholar working on Molecular Biology, Social Psychology, Nature and Landscape Conservation, Genetics and Global and Planetary Change, having authored 16 papers that have together received 139 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Primate Behavior and Ecology (5 papers), Identification and Quantification in Food (3 papers), Machine Learning in Bioinformatics (3 papers), Ichthyology and Marine Biology (3 papers), Amphibian and Reptile Biology (3 papers), Genetic diversity and population structure (3 papers) and Fish Biology and Ecology Studies (2 papers). The work is most often cited by research in Environmental Chemistry (26 citations), Sensory Systems (10 citations), Developmental Biology (4 citations), Ecological Modeling (7 citations) and Health, Toxicology and Mutagenesis (21 citations). Fanglei Shi has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Zhijin Liu, Huijuan Pan, Jiayin Dai, Yitao Pan, Qianqian Cui, Ming Li, Christian Roos, Hongxia Zhang, Philip Riordan and Alice Laguardia. Their work appears in journals such as Integrative Zoology, iScience, Journal of Zoological Systematics & Evolutionary Research, The Science of The Total Environment and Frontiers in Zoology.

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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