Guiying Shi

2.6k citations
56 papers · 1.5k indexed · h-index 20

Impact in

  • Toxicology top 1%
    • Bioactive Compounds and Antitumor Agents
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • IL-33, ST2, and ILC Pathways

Papers in

Guiying Shi

54 papers receiving 1.5k citations

Peers

Guiying Shi
Comparison fields: 5 of 108
  • Toxicology 146
  • Immunology 279
  • Cancer Research 197
  • Molecular Biology 793
  • Developmental Neuroscience 43
Replace Byeong Mo Kim with:
Byeong Mo Kim South Korea
Ok‐Sun Bang South Korea
Darlene B. Royce United States
Paola Bontempo Italy
Adriana Brondani da Rocha Brazil
Chang-Mo Kang South Korea
Byung‐Doo Hwang South Korea
Mustapha Kandouz United States
Kyungsil Yoon South Korea
Joslyn K. Brunelle United States
Guiying Shi relative to Byeong Mo Kim South Korea Byeong Mo Kim's profile →
Citations per field
00.5×1.5×1.9×
Byeong Mo Kim · 1×
Citations per year

Countries citing papers authored by Guiying Shi

Since Specialization
Citations

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

Fields of papers citing papers by Guiying Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20238
2 20227
3 20203
4 202052
5 20186
6 20187
7
Isolation and identification of wilt disease pathogen from Lanzhou lily and its pathogenicity
20162
8
Genetic Diversity of Cultivated Populations of Lilium davidii. var.unicolor at Different Altitudes
20161
9 201674
10 201262
11 2009168
12 200821
13 200873
14 200815
15 200744
16 200739
17 200649
18 200412
19 200276
20
Comparative study on male and female patients with Behcet′s disease
20001

About Guiying Shi

Guiying Shi is a scholar working on Toxicology, Developmental Neuroscience, Aging, Immunology and Cell Biology, having authored 56 papers that have together received 1.5k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (11 papers), Plant-Microbe Interactions and Immunity (4 papers), Mesenchymal stem cell research (4 papers), Bioactive Compounds and Antitumor Agents (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Mitochondrial Function and Pathology (3 papers), Ubiquitin and proteasome pathways (3 papers) and Hematopoietic Stem Cell Transplantation (3 papers). The work is most often cited by research in Toxicology (146 citations), Immunology (279 citations), Cancer Research (197 citations), Molecular Biology (793 citations) and Developmental Neuroscience (43 citations). Guiying Shi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jing Yi, Yuying Chen, Cang Hui, Lin Bai, Jing Yi, Chao Huang, Jian Wang, Edward T.H. Yeh, Yan Han and Xuxu Sun. Their work appears in journals such as Stem Cells and Development, Free Radical Biology and Medicine, Translational Neurodegeneration, Stem Cell Research & Therapy and The EMBO Journal.

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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