Guangjie Sui

18 papers receiving 411 citations

Peers

Guangjie Sui
Comparison fields: 5 of 72
  • Molecular Biology 196
  • Oncology 108
  • Cardiology and Cardiovascular Medicine 74
  • Endocrinology, Diabetes and Metabolism 56
  • Pulmonary and Respiratory Medicine 53
Replace Arata Kimura with:
Arata Kimura Japan
Haizhao Yan China
Harvey G. Roweth United States
Jianping Hu China
K Park United States
Sunyi Lee South Korea
Zhan‐Qi Cao China
Ji‐Yoon Noh South Korea
Suresh Guruswamy United States
Yueh‐Shan Weng Taiwan
Guangjie Sui relative to Arata Kimura Japan Arata Kimura's profile →
Citations per field
00.5×4.2×
Arata Kimura · 1×
Citations per year

Countries citing papers authored by Guangjie Sui

Since Specialization
Citations

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

Fields of papers citing papers by Guangjie Sui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangjie Sui

This figure shows the co-authorship network connecting the top 25 collaborators of Guangjie Sui. A scholar is included among the top collaborators of Guangjie Sui 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 Guangjie Sui. Guangjie Sui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 93
2 78
3
Comparisons of multiple characteristics between young and old lung cancer patients.
15
4 33
5 4
6 14
7 38
8 61
9 25
10
[DDP-sensitivity-related genes in 10 lung cancer cell lines].
4
11 20
12 1
13
[Decreased expression of Cx32 and Cx43 and their function of gap junction intercellular communication in gastric cancer].
9
14
[Inhibitory effect of carbamazepine on proliferation of estrogen-dependent breast cancer cells].
7
15
[Enhancement of HER-2 degradation by carbamazepine in breast cancer SKBR-3 cell line].
1
16
[Analysis of genes related to sensitivity to navalbine and docetaxel in 10 lung cancer cell lines].
1
17 12
18 3

About Guangjie Sui

Guangjie Sui is a scholar working on Oncology, Cancer Research and Genetics, having authored 18 papers that have together received 419 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Oncology (108 citations), Endocrinology, Diabetes and Metabolism (56 citations) and Cardiology and Cardiovascular Medicine (74 citations). Guangjie Sui has collaborated with scholars based in China and United States. Frequent co-authors include Li Cai, Xuesong Chen, Yanbin Zhao, Yanmei Yang, Lichun Sun, Qingwei Meng, Songbin Fu, Dandan Li, Tao Xin and Weixi Shen. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Cellular Physiology and Cancer Letters.

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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