Bin Gui

2.1k citations
46 papers · 1.3k · h-index 21

Impact in

    • Cancer-related molecular mechanisms research
  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

Bin Gui

46 papers receiving 1.3k citations

Peers

Bin Gui
Comparison fields: 5 of 112
  • Cancer Research 242
  • Hepatology 102
  • Molecular Biology 850
  • Oncology 295
  • Physiology 27
Replace Mahmut Yilmaz with:
Mahmut Yilmaz Switzerland
Yulong Shang China
Guangzhi Wang China
Weibin Wang China
Janelle Simon United States
Nilgun Tasdemir United States
Kwang‐Yu Chang Taiwan
Wan-Chi Lin United States
David I. Bellovin United States
Heidi L. Kenerson United States
Bin Gui relative to Mahmut Yilmaz Switzerland Mahmut Yilmaz's profile →
Citations per field
00.5×
Mahmut Yilmaz · 1×
Citations per year

Countries citing papers authored by Bin Gui

Since Specialization
Citations

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

Fields of papers citing papers by Bin Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011149
2 2014110
3 201488
4 201981
5 201478
6 201164
7 201258
8 201758
9 200951
10 201146
11 201939
12 201439
13 201838
14 201836
15 201732
16 200830
17 201729
18 201627
19 202223
20 201821

About Bin Gui

Bin Gui is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Surgery and Cancer Research, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (5 papers), RNA modifications and cancer (5 papers), Cancer-related gene regulation (5 papers), RNA Research and Splicing (4 papers), Cancer-related molecular mechanisms research (4 papers), Photoacoustic and Ultrasonic Imaging (4 papers), Nanoplatforms for cancer theranostics (3 papers) and Prostate Cancer Treatment and Research (3 papers). The work is most often cited by research in Cancer Research (242 citations), Hepatology (102 citations), Molecular Biology (850 citations), Oncology (295 citations) and Physiology (27 citations). Bin Gui has collaborated with scholars based in China, United States and Iran. Frequent co-authors include Yongfeng Shang, Nirmalya Sen, Jing Liang, Adam S. Kibel, Jia Li, Xiao Han, Rakesh Kumar, Wenhua Yu, Luyang Sun and Lei Shi. Their work appears in journals such as Journal of Biological Chemistry, International Journal of Radiation Oncology*Biology*Physics, The Prostate, ACS Applied Materials & Interfaces and Cancer and Metastasis Reviews.

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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