Xiaobin Gu

1.8k citations
51 papers · 1.4k · h-index 21

Impact in

  • Oncology top 5%
    • Inflammatory Biomarkers in Disease Prognosis
    • Cancer Immunotherapy and Biomarkers
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Xiaobin Gu

50 papers receiving 1.4k citations

Peers

Xiaobin Gu
Comparison fields: 5 of 80
  • Oncology 663
  • Cancer Research 240
  • Immunology 194
  • Hepatology 54
  • Pulmonary and Respiratory Medicine 206
Replace Donavan T. Cheng with:
Donavan T. Cheng United States
Hélène LaRue Canada
Kenji Kashiwabara Japan
Vera Schellerer Germany
Hye Won Lee South Korea
Stephan Herbertz Germany
Ioan Jung Romania
Mevyn Nizard France
Florian Cabillic France
Atsushi Takai Japan
Xiaobin Gu relative to Donavan T. Cheng United States Donavan T. Cheng's profile →
Citations per field
00.5×2.7×
Donavan T. Cheng · 1×
Citations per year

Countries citing papers authored by Xiaobin Gu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobin Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015175
2 2016106
3 201697
4 202094
5 202072
6 202168
7 201555
8 201653
9 201652
10 201950
11 202145
12 202141
13 201640
14 201538
15 201431
16 201629
17 202027
18 202025
19 201523
20 201623

About Xiaobin Gu

Xiaobin Gu is a scholar working on Oncology, Molecular Biology, Cancer Research, Surgery and Pulmonary and Respiratory Medicine, having authored 51 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (8 papers), Inflammatory Biomarkers in Disease Prognosis (8 papers), Cancer, Lipids, and Metabolism (4 papers), Bone and Dental Protein Studies (3 papers), Immune cells in cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers) and Aldose Reductase and Taurine (3 papers). The work is most often cited by research in Oncology (663 citations), Cancer Research (240 citations), Immunology (194 citations), Hepatology (54 citations) and Pulmonary and Respiratory Medicine (206 citations). Xiaobin Gu has collaborated with scholars based in China and United States. Frequent co-authors include Xianshu Gao, Xiaojun Zhang, Tian Tian, Yonggang Shi, Shaoqian Sun, Mingwei Ma, Meilian Dong, Hao Yu, Xin Qi and Wen Wang. Their work appears in journals such as Scientific Reports, Oncotarget, OncoTargets and Therapy, Frontiers in Oncology and Cancer Management and Research.

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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