Qingbin Kong

2.4k total citations · 2 hit papers
17 papers, 1.7k citations indexed

About

Qingbin Kong is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Qingbin Kong has authored 17 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Oncology and 2 papers in Surgery. Recurrent topics in Qingbin Kong's work include PI3K/AKT/mTOR signaling in cancer (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Estrogen and related hormone effects (2 papers). Qingbin Kong is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Estrogen and related hormone effects (2 papers). Qingbin Kong collaborates with scholars based in China. Qingbin Kong's co-authors include Yangfu Jiang, Hui Hua, Jiao Wang, Hongying Zhang, Ting Luo, Hongying Zhang, Hui Hua, Jie Yin, Jin Zhang and Ting Shao and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Qingbin Kong

17 papers receiving 1.7k citations

Hit Papers

Targeting mTOR for cancer therapy 2019 2026 2021 2023 2019 2020 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Targeting mTOR for cancer therapy
    2019 661 citations Hui Hua, Qingbin Kong et al. Journal of Hematology & Oncology profile →
  2. Complex roles of cAMP–PKA–CREB signaling in cancer
    2020 305 citations Hongying Zhang, Qingbin Kong et al. Experimental Hematology and Oncology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qingbin Kong China 15 1.0k 398 364 217 191 17 1.7k
Kiyomu Fujii Japan 28 888 0.9× 421 1.1× 380 1.0× 201 0.9× 221 1.2× 75 1.9k
Kyung Song United States 22 1.1k 1.0× 280 0.7× 341 0.9× 171 0.8× 178 0.9× 50 1.6k
Yueh‐Min Lin Taiwan 23 891 0.9× 363 0.9× 395 1.1× 152 0.7× 126 0.7× 77 1.7k
Yi Luo China 24 895 0.9× 499 1.3× 273 0.8× 214 1.0× 174 0.9× 75 1.7k
Basabi Rana United States 26 1.2k 1.2× 313 0.8× 478 1.3× 115 0.5× 223 1.2× 58 2.0k
Xisong Ke China 20 1.3k 1.3× 503 1.3× 533 1.5× 213 1.0× 247 1.3× 54 2.0k
Xiuling Zhi China 27 1.1k 1.1× 399 1.0× 509 1.4× 192 0.9× 384 2.0× 63 2.3k
Lina Sabatino Italy 25 1.1k 1.1× 504 1.3× 351 1.0× 118 0.5× 217 1.1× 61 1.8k
Andelko Hrzenjak Austria 32 1.4k 1.3× 604 1.5× 374 1.0× 326 1.5× 224 1.2× 63 2.5k

Countries citing papers authored by Qingbin Kong

Since Specialization
Citations

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

Fields of papers citing papers by Qingbin Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingbin Kong

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

All Works

17 of 17 papers shown
1.
Kong, Qingbin, et al.. (2024). Multiple sarcomatoid carcinoma of the small intestine with perforation as the initial symptom: case report and review of the literature. Frontiers in Oncology. 14. 1477951–1477951. 1 indexed citations
2.
Shu, Yang, et al.. (2021). Targeting Na+/K+‐ATPase by berbamine and ouabain synergizes with sorafenib to inhibit hepatocellular carcinoma. British Journal of Pharmacology. 178(21). 4389–4407. 21 indexed citations
3.
Zhang, Hongying, Qingbin Kong, Jiao Wang, Yangfu Jiang, & Hui Hua. (2020). Complex roles of cAMP–PKA–CREB signaling in cancer. Experimental Hematology and Oncology. 9(1). 32–32. 305 indexed citations breakdown →
4.
Hua, Hui, Qingbin Kong, Jie Yin, Jin Zhang, & Yangfu Jiang. (2020). Insulin-like growth factor receptor signaling in tumorigenesis and drug resistance: a challenge for cancer therapy. Journal of Hematology & Oncology. 13(1). 64–64. 146 indexed citations
5.
Hua, Hui, Qingbin Kong, Hongying Zhang, et al.. (2019). Targeting mTOR for cancer therapy. Journal of Hematology & Oncology. 12(1). 71–71. 661 indexed citations breakdown →
6.
Hua, Hui, Hongying Zhang, Qingbin Kong, et al.. (2019). The regulatory protein GADD34 inhibits TRAIL-induced apoptosis via TRAF6/ERK-dependent stabilization of myeloid cell leukemia 1 in liver cancer cells. Journal of Biological Chemistry. 294(15). 5945–5955. 23 indexed citations
7.
Shao, Ting, Hui Hua, Hongying Zhang, et al.. (2018). Gamma synuclein is a novel Twist1 target that promotes TGF-β-induced cancer cell migration and invasion. Cell Death and Disease. 9(6). 625–625. 31 indexed citations
8.
Hua, Hui, Hongying Zhang, Qingbin Kong, & Yangfu Jiang. (2018). Mechanisms for estrogen receptor expression in human cancer. Experimental Hematology and Oncology. 7(1). 24–24. 159 indexed citations
9.
Kong, Qingbin, et al.. (2018). Interleukin‑17 promotes the development of cisplatin resistance in colorectal cancer. Oncology Letters. 17(1). 944–950. 39 indexed citations
10.
Hua, Hui, Hongying Zhang, Qingbin Kong, Jiao Wang, & Yangfu Jiang. (2018). Complex roles of the old drug aspirin in cancer chemoprevention and therapy. Medicinal Research Reviews. 39(1). 114–145. 93 indexed citations
11.
Wang, Jiao, Ting Shao, Qingbin Kong, et al.. (2017). The natural agent rhein induces β‐catenin degradation and tumour growth arrest. Journal of Cellular and Molecular Medicine. 22(1). 589–599. 20 indexed citations
12.
Gao, Mei, Qingbin Kong, Hui Hua, et al.. (2016). AMPK-mediated up-regulation of mTORC2 and MCL-1 compromises the anti-cancer effects of aspirin. Oncotarget. 7(13). 16349–16361. 39 indexed citations
13.
Hua, Hui, et al.. (2015). Aflatoxin B1 induces Src phosphorylation and stimulates lung cancer cell migration. Tumor Biology. 36(8). 6507–6513. 26 indexed citations
14.
Yin, Yancun, Hui Hua, Minjing Li, et al.. (2015). mTORC2 promotes type I insulin-like growth factor receptor and insulin receptor activation through the tyrosine kinase activity of mTOR. Cell Research. 26(1). 46–65. 111 indexed citations
15.
Huo, Xiaodong, Ting Shao, Hui Hua, et al.. (2014). GSK3 Protein Positively Regulates Type I Insulin-like Growth Factor Receptor through Forkhead Transcription Factors FOXO1/3/4. Journal of Biological Chemistry. 289(36). 24759–24770. 29 indexed citations
16.
Kong, Qingbin, et al.. (2014). SP600125 Induces Src and Type I IGF Receptor Phosphorylation Independent of JNK. International Journal of Molecular Sciences. 15(9). 16246–16256. 3 indexed citations
17.
Ma, Yanli, Qingbin Kong, Hui Hua, Ting Luo, & Yangfu Jiang. (2012). Aflatoxin B1 Up-Regulates Insulin Receptor Substrate 2 and Stimulates Hepatoma Cell Migration. PLoS ONE. 7(10). e47961–e47961. 14 indexed citations

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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