Bin Xiong

5.9k citations
99 papers · 4.1k indexed · 2 hit papers · h-index 32
Topics
Cancer Cells and Metastasis (22 papers)Cancer-related molecular mechanisms research (20 papers)Immune cells in cancer (10 papers)
Journals
Advanced MaterialsSHILAP Revista de lepidopterologíaPLoS ONE
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Bin Xiong

97 papers receiving 4.1k citations

Hit Papers

Crosstalk between cancer cells and tumor associated macro...201920262021202320192022200400600

Peers

Bin Xiong
Comparison fields: 5 of 134
  • Molecular Biology 1.9k
  • Oncology 1.6k
  • Cancer Research 1.3k
  • Biomedical Engineering 863
  • Immunology 729
Replace Gayathri R. Devi with:
Gayathri R. Devi United States
Minjie Wei China
Fei Chen China
Helmut Dolznig Austria
Yingqi Hua China
Chen Liu China
Weiling He China
Quanxing Ni China
Judy R. van Beijnum Netherlands
Zhengzhi Zou China
Bin Xiong relative to Gayathri R. Devi United States Gayathri R. Devi's profile →
Citations per field
00.5×12×
Gayathri R. Devi · 1×
Citations per year

Countries citing papers authored by Bin Xiong

Since Specialization
Citations

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

Fields of papers citing papers by Bin Xiong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Xiong

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Xiong. A scholar is included among the top collaborators of Bin Xiong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bin Xiong. Bin Xiong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 1
4 7
5 8
6 9
7 19
8 77
9 5
10 28
11 30
12 160
13
M2 macrophages confer resistance to 5-fluorouracil in colorectal cancer through the activation of CCL22/PI3K/AKT signaling
4
14
Upregulation of STC2 in colorectal cancer and its clinicopathological significance
4
15 51
16 57
17 28
18 301
19
[Overexpression of miR-21 promotes proliferation and reduces apoptosis in non-small cell lung cancer].
9
20 42

About Bin Xiong

Bin Xiong is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 99 papers that have together received 4.1k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (22 papers), Cancer-related molecular mechanisms research (20 papers) and Immune cells in cancer (10 papers). The work is most often cited by research in Cancer Research (1.3k citations), Oncology (1.6k citations) and Immunology (729 citations). Bin Xiong has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Chaogang Yang, Shuyi Wang, Dongdong Shi, Rongzhang Dou, Xiaobin Lin, Chunxiao Zhang, Wei Chen, Qing Liu, Sihao Huang and Jialin Song. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and PLoS ONE.

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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