Kunning Wang

1.2k total citations · 1 hit paper
8 papers, 891 citations indexed

About

Kunning Wang is a scholar working on Molecular Biology, Cancer Research and Pharmacology. According to data from OpenAlex, Kunning Wang has authored 8 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Pharmacology. Recurrent topics in Kunning Wang's work include Circular RNAs in diseases (2 papers), Cancer-related molecular mechanisms research (2 papers) and Cancer-related gene regulation (2 papers). Kunning Wang is often cited by papers focused on Circular RNAs in diseases (2 papers), Cancer-related molecular mechanisms research (2 papers) and Cancer-related gene regulation (2 papers). Kunning Wang collaborates with scholars based in China, Hong Kong and Australia. Kunning Wang's co-authors include Jun Yu, Joseph J.�Y. Sung, Ho Tsoi, Jingwan Zhang, Siew C. Ng, Yujuan Dong, Qiaoyi Liang, Sunny H. Wong, Ning Zhang and Qian Kang and has published in prestigious journals such as Nature Communications, Gut and Molecular Cancer.

In The Last Decade

Kunning Wang

8 papers receiving 882 citations

Hit Papers

align trajectories

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.

Gut mucosal microbiome across stages of colorectal carcinogenesis

2015 510 citations Geicho Nakatsu, Xiangchun Li et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kunning Wang China	6	718	264	249	91	91	8	891
Yanru Ma China	12	664 0.9×	161 0.6×	324 1.3×	70 0.8×	89 1.0×	18	930
Jianqiang Liu China	7	461 0.6×	261 1.0×	282 1.1×	92 1.0×	49 0.5×	25	679
Yasi Pan Hong Kong	11	665 0.9×	205 0.8×	310 1.2×	104 1.1×	89 1.0×	18	993
Martina Di Modica Italy	12	588 0.8×	444 1.7×	189 0.8×	44 0.5×	90 1.0×	15	972
Jiahong Tan China	13	393 0.5×	168 0.6×	171 0.7×	45 0.5×	98 1.1×	29	781
Tiffany A. Coon United States	19	743 1.0×	174 0.7×	141 0.6×	76 0.8×	151 1.7×	27	1.1k
Xiuyan Yu China	16	412 0.6×	277 1.0×	208 0.8×	55 0.6×	107 1.2×	35	916
Zhonghua Chu China	17	461 0.6×	227 0.9×	182 0.7×	66 0.7×	69 0.8×	36	759
Chaoqin Shen China	16	945 1.3×	164 0.6×	643 2.6×	92 1.0×	149 1.6×	18	1.2k

Countries citing papers authored by Kunning Wang

Since Specialization

Citations

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

Fields of papers citing papers by Kunning Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunning Wang

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Shao, Xiaodan, Na Wang, Ke Tang, et al.. (2025). Network analysis used to investigate the symptoms of cancer patients during chemotherapy: a scoping review. Discover Oncology. 16(1). 1011–1011. 1 indexed citations

2.

Wang, Kunning, Enxiao Li, Rita A. Busuttil, et al.. (2020). A cohort study and meta-analysis of the evidence for consideration of Lauren subtype when prescribing adjuvant or palliative chemotherapy for gastric cancer. Therapeutic Advances in Medical Oncology. 12. 3863545399–3863545399. 14 indexed citations

3.

Wang, Kunning, Ruiqing Li, Ripeng Jiang, Lihua Zhang, & Xiaoqian Li. (2019). Effect of Different-Source Ultrasonic Treatment on Intergranular Phase and Mechanical Properties of Large-Scale AlCu Ingots. JOM. 71(12). 4414–4423. 3 indexed citations

4.

Wang, Zongyan, et al.. (2018). MiR-299-3p functions as a tumor suppressor via targeting Sirtuin 5 in hepatocellular carcinoma. Biomedicine & Pharmacotherapy. 106. 966–975. 51 indexed citations

5.

Zhang, Jingwan, Ho Tsoi, Xiaoxing Li, et al.. (2015). Carbonic anhydrase IV inhibits colon cancer development by inhibiting the Wnt signalling pathway through targeting the WTAP–WT1–TBL1 axis. Gut. 65(9). 1482–1493. 141 indexed citations

6.

Nakatsu, Geicho, Xiangchun Li, Haokui Zhou, et al.. (2015). Gut mucosal microbiome across stages of colorectal carcinogenesis. Nature Communications. 6(1). 8727–8727. 510 indexed citations breakdown →

7.

Wang, Kunning, Qiaoyi Liang, Xiaoxing Li, et al.. (2015). MDGA2 is a novel tumour suppressor cooperating with DMAP1 in gastric cancer and is associated with disease outcome. Gut. 65(10). 1619–1631. 58 indexed citations

8.

Zhang, Lijing, Yujuan Dong, Ho Tsoi, et al.. (2014). microRNA-139-5p exerts tumor suppressor function by targeting NOTCH1 in colorectal cancer. Molecular Cancer. 13(1). 124–124. 113 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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