Wei Gui

1.3k citations
69 papers · 1k · h-index 17

Impact in

    • Retinal Diseases and Treatments
    • Gut microbiota and health
    • Retinal Development and Disorders
    • Metabolomics and Mass Spectrometry Studies

Papers in

Wei Gui

65 papers receiving 989 citations

Peers

Wei Gui
Comparison fields: 5 of 110
  • Ophthalmology 63
  • Molecular Biology 348
  • Health, Toxicology and Mutagenesis 67
  • Pharmacology 54
  • Pathology and Forensic Medicine 52
Replace Sung‐Jin Yoon with:
Sung‐Jin Yoon South Korea
Giuseppe Belmonte Italy
Yingying He China
Agnieszka Wanda Piastowska‐Ciesielska Poland
Franco Cervellati Italy
Huimin Huang China
Juan Gao China
Mohammad‐Saeid Jami Iran
Vikas Chandhoke United States
Wei Gui relative to Sung‐Jin Yoon South Korea Sung‐Jin Yoon's profile →
Citations per field
00.5×1.5×2×2.3×
Sung‐Jin Yoon · 1×
Citations per year

Countries citing papers authored by Wei Gui

Since Specialization
Citations

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

Fields of papers citing papers by Wei Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020199
2 201892
3 201948
4 202045
5 201944
6 201831
7 201726
8 201425
9 201924
10 201423
11 202422
12 201421
13 202221
14 201820
15 202020
16 202220
17 200918
18 202216
19 201415
20 202115

About Wei Gui

Wei Gui is a scholar working on Pathology and Forensic Medicine, Ophthalmology, Health, Toxicology and Mutagenesis, Insect Science and Molecular Biology, having authored 69 papers that have together received 1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (9 papers), Toxic Organic Pollutants Impact (6 papers), Gut microbiota and health (6 papers), Insect-Plant Interactions and Control (5 papers), Migraine and Headache Studies (5 papers), Plant Reproductive Biology (3 papers), Retinal Diseases and Treatments (3 papers) and Plant Molecular Biology Research (3 papers). The work is most often cited by research in Ophthalmology (63 citations), Molecular Biology (348 citations), Health, Toxicology and Mutagenesis (67 citations), Pharmacology (54 citations) and Pathology and Forensic Medicine (52 citations). Wei Gui has collaborated with scholars based in China, United States and Türkiye. Frequent co-authors include Andrew D. Patterson, Jingwei Cai, Yuan Tian, Imhoi Koo, Robert G. Nichols, Philip B. W. Smith, Bipin Rimal, Qing Liu, Erik L. Allman and Mallappa Anitha. Their work appears in journals such as Agronomy, The Journal of Headache and Pain, BMC Plant Biology, Gut Microbes and Medical Oncology.

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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