Xin Guan

932 citations
34 papers · 679 · h-index 15

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Colorectal Cancer Treatments and Studies
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Cancer-related Molecular Pathways 2
    • Cancer Immunotherapy and Biomarkers 2
    • Colorectal Cancer Treatments and Studies 2
    • Lymphatic Disorders and Treatments 1

Xin Guan

32 papers receiving 671 citations

Peers

Xin Guan
Comparison fields: 5 of 70
  • Oncology 237
  • Cancer Research 100
  • Immunology 94
  • Pathology and Forensic Medicine 56
  • Molecular Biology 195
Replace Adele Preaudet with:
Adele Preaudet Australia
Reiko Dehari Japan
Liangyu Bie China
Xinwei Wang China
Paul M. Nguyen Australia
Quanbao Zhang China
RD Mittal India
M Katano Japan
Xiangming Xu China
Ali Adili Iran
Xin Guan relative to Adele Preaudet Australia Adele Preaudet's profile →
Citations per field
00.5×1.5×2×2.5×
Adele Preaudet · 1×
Citations per year

Countries citing papers authored by Xin Guan

Since Specialization
Citations

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

Fields of papers citing papers by Xin Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021185
2 201156
3 202144
4 201141
5 201436
6 201834
7 202234
8 202024
9 201724
10 201320
11 202120
12
MiR-378a-5p acts as a tumor suppressor in renal cell carcinoma and is associated with the good prognosis of patients.
201918
13 202017
14 201916
15 202116
16 201412
17 201911
18 202110
19 20259
20 20138

About Xin Guan

Xin Guan is a scholar working on Oncology, Surgery, Molecular Biology, Pulmonary and Respiratory Medicine and Physiology, having authored 34 papers that have together received 679 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Cancer-related Molecular Pathways (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Epigenetics and DNA Methylation (2 papers), Genetic factors in colorectal cancer (2 papers) and Lymphatic Disorders and Treatments (1 paper). The work is most often cited by research in Oncology (237 citations), Cancer Research (100 citations), Immunology (94 citations), Pathology and Forensic Medicine (56 citations) and Molecular Biology (195 citations). Xin Guan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yanqiao Zhang, Bojun Wang, Chao Liu, Jian-Nong Zhou, Fei Zhan, Haoxiu Sun, Shuling Han, Lin Fang, Chunhui Zhang and Yuanfei Yao. Their work appears in journals such as Frontiers in Oncology, Clinical Therapeutics, International Journal of Cancer, Pharmacognosy Magazine and Supportive Care in Cancer.

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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