Le Guo

2.1k citations
69 papers · 1.6k · h-index 26

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Immunology top 10%
    • Galectins and Cancer Biology

Papers in

    • Circular RNAs in diseases 8
    • Glycosylation and Glycoproteins Research 5
    • Helicobacter pylori-related gastroenterology studies 17

Le Guo

64 papers receiving 1.6k citations

Peers

Le Guo
Comparison fields: 5 of 120
  • Cancer Research 386
  • Immunology 326
  • Small Animals 92
  • Electrochemistry 64
  • Molecular Biology 670
Replace Robert Smail Jack with:
Robert Smail Jack Germany
György Fejér United Kingdom
Ernesto R. Soto United States
Constance M. John United States
Yibing Yin China
Yanmei Zhang China
Vittorio Necchi Italy
Sang-Hee Lee South Korea
Qiubing Chen China
Le Guo relative to Robert Smail Jack Germany Robert Smail Jack's profile →
Citations per field
00.5×5.1×
Robert Smail Jack · 1×
Citations per year

Countries citing papers authored by Le Guo

Since Specialization
Citations

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

Fields of papers citing papers by Le Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Le Guo, 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 Le Guo Line = papers co-authored together Le Guo 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 2012181
2 201375
3 201673
4 201758
5 201558
6 201357
7 201455
8 201451
9 201748
10 201246
11 201741
12 201340
13 201740
14 201740
15 201439
16 201539
17 201837
18 201735
19 201133
20 201933

About Le Guo

Le Guo is a scholar working on Molecular Biology, Surgery, Immunology, Cancer Research and Pathology and Forensic Medicine, having authored 69 papers that have together received 1.6k indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (17 papers), MicroRNA in disease regulation (11 papers), Galectins and Cancer Biology (9 papers), Circular RNAs in diseases (8 papers), Cancer-related molecular mechanisms research (7 papers), HIV Research and Treatment (6 papers), Glycosylation and Glycoproteins Research (5 papers) and Cancer Mechanisms and Therapy (5 papers). The work is most often cited by research in Cancer Research (386 citations), Immunology (326 citations), Small Animals (92 citations), Electrochemistry (64 citations) and Molecular Biology (670 citations). Le Guo has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Tao Xi, Kunmei Liu, Runting Yin, Yingying Xing, Yunmian He, Feng Tang, Meijuan Zou, Rui Zhang, Feng Tang and Jun Wei. Their work appears in journals such as Frontiers in Immunology, Applied Microbiology and Biotechnology, Frontiers in Cellular and Infection Microbiology, PLoS ONE and Journal of Cellular Biochemistry.

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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