Li Gui

95 papers receiving 2.2k citations

Hit Papers

Gut Microbiota is Altered in Patients with Alzheimer’s Disease 2018 · 658 citations
6582018202620202023200400600

Peers

Li Gui
Comparison fields: 5 of 144
  • Biological Psychiatry 324
  • Research and Theory 54
  • Neurology 341
  • Physiology 592
  • Physiology 70
Replace Ling Shen with:
Ling Shen United States
Ryan W. Grant United States
Hui Liang China
Tetsuya Maeda Japan
Suzanne Campion United Kingdom
Nathalie Laflamme Canada
Claudio Franceschi Sweden
Elisa Cevenini Italy
Maria Scurti Italy
Li Gui relative to Ling Shen United States Ling Shen's profile →
Citations per field
00.5×1.5×2.3×
Ling Shen · 1×
Citations per year

Countries citing papers authored by Li Gui

Since Specialization
Citations

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

Fields of papers citing papers by Li Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Gut Microbiota is Altered in Patients with Alzheimer’s Disease
Hit paper breakdown →
2018658
2 201785
3 201266
4 201457
5 200954
6 200954
7 202352
8 202150
9 202150
10 201348
11 200946
12 202140
13 201739
14 201435
15 201435
16 200935
17 201734
18 200833
19 201631
20 202331

About Li Gui

Li Gui is a scholar working on Research and Theory, Neurology, Leadership and Management, Physiology and Critical Care and Intensive Care Medicine, having authored 105 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neurological Disease Mechanisms and Treatments (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Functional Brain Connectivity Studies (6 papers), Plant biochemistry and biosynthesis (6 papers), Alzheimer's disease research and treatments (5 papers), Inflammasome and immune disorders (5 papers), Dementia and Cognitive Impairment Research (5 papers) and Healthcare professionals’ stress and burnout (4 papers). The work is most often cited by research in Biological Psychiatry (324 citations), Research and Theory (54 citations), Neurology (341 citations), Physiology (592 citations) and Physiology (70 citations). Li Gui has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Yan‐Jiang Wang, Xian‐Le Bu, Xue Fu, Weiwei Li, Yinling Tan, Jie Zhu, Huadong Zhou, Lin‐Lin Shen, Min Cai and Yang Lü. Their work appears in journals such as Behavioural Brain Research, Nurse Education Today, Frontiers in Public Health, The Neuroscientist and Biochemical and Biophysical Research Communications.

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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