Xiaoling Guo

1.8k citations
62 papers · 1.5k indexed · h-index 20

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

Xiaoling Guo

61 papers receiving 1.4k citations

Peers

Xiaoling Guo
Comparison fields: 5 of 117
  • Immunology 316
  • Oncology 335
  • Cancer Research 133
  • Molecular Biology 591
  • Pharmacology 70
Replace Sukmook Lee with:
Sukmook Lee South Korea
Simone Kühnle Germany
Vanina A. Medina Argentina
Yongting Luo China
Yang Xu China
Jie Gao China
Yung Joon Yoo South Korea
Roberto Giovannoni Italy
Annette Bakker United States
Jeongwon Sohn South Korea
Xiaoling Guo relative to Sukmook Lee South Korea Sukmook Lee's profile →
Citations per field
00.5×4.4×
Sukmook Lee · 1×
Citations per year

Countries citing papers authored by Xiaoling Guo

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20231
3 202322
4 20233
5 20232
6 201911
7 201824
8 20175
9 201617
10 201610
11 20167
12 201425
13 201421
14 201451
15 201360
16 201371
17 201212
18 200712
19 2004329
20 200439

About Xiaoling Guo

Xiaoling Guo is a scholar working on Neurology, Cancer Research, Molecular Biology, Physiology and Cellular and Molecular Neuroscience, having authored 62 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), MicroRNA in disease regulation (5 papers), Neuropeptides and Animal Physiology (4 papers), Retinoids in leukemia and cellular processes (3 papers), Redox biology and oxidative stress (3 papers), Immune Cell Function and Interaction (3 papers), RNA modifications and cancer (3 papers) and Ion Transport and Channel Regulation (3 papers). The work is most often cited by research in Immunology (316 citations), Oncology (335 citations), Cancer Research (133 citations), Molecular Biology (591 citations) and Pharmacology (70 citations). Xiaoling Guo has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Carl W. White, Lieping Chen, Erhu Cao, Jean-Claude D. Schwartz, Steven C. Almo, Xuewu Zhang, Michael Edidin, Stanley G. Nathenson, Sumeena Bhatia and Kumuda C. Das. Their work appears in journals such as Stem Cell Research, Journal of Cellular and Molecular Medicine, PLoS ONE, Scientific Reports and Immunity.

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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