Si Gui

441 citations
6 papers · 357 · h-index 4

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics

Papers in

    • Circular RNAs in diseases 3
    • Extracellular vesicles in disease 2
    • RNA Research and Splicing 1
    • Histone Deacetylase Inhibitors Research 1
    • MicroRNA in disease regulation 2
    • Cancer-related molecular mechanisms research 1

Si Gui

6 papers receiving 355 citations

Peers

Si Gui
Comparison fields: 5 of 41
  • Genetics 195
  • Cancer Research 198
  • Molecular Biology 203
  • Radiology, Nuclear Medicine and Imaging 61
  • Structural Biology 3
Replace Amithys Rahimian with:
Amithys Rahimian France
Angela Zacher Germany
Lorena Bissola Italy
Wojciech Szopa Poland
Sandra Ferreyra Vega Sweden
Kay Ka-Wai Li Hong Kong
K A Joyce United Kingdom
Nina Lelic United States
Olga Gusyatiner Switzerland
Si Gui relative to Amithys Rahimian France Amithys Rahimian's profile →
Citations per field
00.5×1.5×1.8×
Amithys Rahimian · 1×
Citations per year

Countries citing papers authored by Si Gui

Since Specialization
Citations

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

Fields of papers citing papers by Si Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Si 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 Si Gui Line = papers co-authored together Si Gui links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2011227
2 2019108
3 202015
4 20203
5 20142
6 20192

About Si Gui

Si Gui is a scholar working on Molecular Biology, Cancer Research, Radiology, Nuclear Medicine and Imaging, Genetics and Pulmonary and Respiratory Medicine, having authored 6 papers that have together received 357 indexed citations. Recurring topics across this work include Circular RNAs in diseases (3 papers), MicroRNA in disease regulation (2 papers), MRI in cancer diagnosis (2 papers), Extracellular vesicles in disease (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), RNA Research and Splicing (1 paper), Histone Deacetylase Inhibitors Research (1 paper) and Cancer-related molecular mechanisms research (1 paper). The work is most often cited by research in Genetics (195 citations), Cancer Research (198 citations), Molecular Biology (203 citations), Radiology, Nuclear Medicine and Imaging (61 citations) and Structural Biology (3 citations). Si Gui has collaborated with scholars based in China. Frequent co-authors include Songtao Qi, Lei Yu, Zhang Xue-lin, Fei Yao, Hui-xia Han, Yanqing Ding, Jun Fan, Xiaoyu Qiu, Binghui Qiu and Guozhong Zhang. Their work appears in journals such as Therapeutic Advances in Medical Oncology, Cancer Science, Aging, SSRN Electronic Journal and PubMed.

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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