Luye Shi

440 citations
22 papers · 306 · h-index 10

Impact in

    • Genetic diversity and population structure
    • Genetic Mapping and Diversity in Plants and Animals
    • High Altitude and Hypoxia

Papers in

    • Mitochondrial Function and Pathology 6
    • Genomics and Phylogenetic Studies 3
    • Metabolomics and Mass Spectrometry Studies 3
    • Physiological and biochemical adaptations 7

Luye Shi

19 papers receiving 295 citations

Peers

Luye Shi
Comparison fields: 5 of 63
  • Genetics 174
  • Aging 8
  • Ecology 94
  • Ecology, Evolution, Behavior and Systematics 47
  • Virology 10
Replace Ahmed Sayadi with:
Ahmed Sayadi Sweden
Björn E. Langer Germany
Cláudia Rohde Brazil
Oksung Chung South Korea
Adrian Schneider Switzerland
Bellis Kullman Estonia
Steve Searle United Kingdom
Jessica M. Warren United States
Wei-Chin Ho United States
Tina Graves United States
Luye Shi relative to Ahmed Sayadi Sweden Ahmed Sayadi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Luye Shi

Since Specialization
Citations

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

Fields of papers citing papers by Luye Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988132
2 202139
3 202417
4 201816
5 202113
6 202012
7 202011
8 202010
9 202110
10 202110
11
[Mitochondrial DNA polymorphism in five species of the genus Macaca].
19908
12 20236
13 20216
14 20195
15 20224
16 20183
17 20222
18 20201
19 20181
20 20250

About Luye Shi

Luye Shi is a scholar working on Molecular Biology, Ecology, Genetics, Ecology, Evolution, Behavior and Systematics and Cancer Research, having authored 22 papers that have together received 306 indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (7 papers), High Altitude and Hypoxia (6 papers), Mitochondrial Function and Pathology (6 papers), Bat Biology and Ecology Studies (4 papers), Genomics and Phylogenetic Studies (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Genetic diversity and population structure (3 papers) and Marine Biology and Ecology Research (2 papers). The work is most often cited by research in Genetics (174 citations), Aging (8 citations), Ecology (94 citations), Ecology, Evolution, Behavior and Systematics (47 citations) and Virology (10 citations). Luye Shi has collaborated with scholars based in China, Canada and Japan. Frequent co-authors include Osamu Gotoh, Nobumoto Miyashita, Hiromichi Yonekawa, Kenta Moriwaki, Yusaku Tagashira, Zhenlong Wang, Yuhua Shi, Xiangyu Tian, Xiujuan Li and Baishi Wang. Their work appears in journals such as The Science of The Total Environment, 动物学研究, Frontiers in Zoology, PeerJ and Integrative 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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