Wei Kang

12.8k total citations · 7 hit papers
169 papers, 8.5k citations indexed

About

Wei Kang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Wei Kang has authored 169 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Molecular Biology, 40 papers in Cancer Research and 39 papers in Oncology. Recurrent topics in Wei Kang's work include RNA modifications and cancer (30 papers), Cancer-related molecular mechanisms research (24 papers) and Cancer-related gene regulation (21 papers). Wei Kang is often cited by papers focused on RNA modifications and cancer (30 papers), Cancer-related molecular mechanisms research (24 papers) and Cancer-related gene regulation (21 papers). Wei Kang collaborates with scholars based in China, Hong Kong and United States. Wei Kang's co-authors include Jun Yu, Ka‐Fai To, Alfred S.L. Cheng, Joseph J.�Y. Sung, Tingting Huang, Chi Chun Wong, Huarong Chen, Raymond Wai Ming Lung, Joanna H. Tong and Jian Geng and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Wei Kang

163 papers receiving 8.4k citations

Hit Papers

Organ distribution of severe acute respiratory syndrome (... 2003 2026 2010 2018 2004 2003 2022 2022 2023 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Kang China 52 4.9k 2.3k 1.5k 1.3k 848 169 8.5k
Yun Qiu China 47 3.5k 0.7× 1.1k 0.5× 1.4k 0.9× 791 0.6× 1.9k 2.2× 164 8.0k
Liang Cao China 44 4.0k 0.8× 954 0.4× 2.1k 1.4× 454 0.3× 848 1.0× 241 8.0k
Na Liu China 49 5.6k 1.2× 3.7k 1.6× 1.8k 1.2× 335 0.2× 1.5k 1.8× 319 9.1k
Tingbo Liang China 49 3.0k 0.6× 1.5k 0.7× 2.6k 1.7× 632 0.5× 1.1k 1.3× 306 8.1k
Mohammad Hashemi Iran 40 3.7k 0.8× 1.4k 0.6× 782 0.5× 388 0.3× 442 0.5× 350 7.6k
Lin Li China 38 3.3k 0.7× 1.8k 0.8× 1.0k 0.7× 512 0.4× 478 0.6× 244 6.6k
Hein W. Verspaget Netherlands 53 3.1k 0.6× 1.7k 0.8× 2.1k 1.3× 534 0.4× 681 0.8× 236 9.7k
Kevin M. Ryan United Kingdom 53 7.3k 1.5× 2.3k 1.0× 3.0k 1.9× 424 0.3× 610 0.7× 115 11.8k
Jin‐Ping Li China 55 6.3k 1.3× 1.5k 0.7× 905 0.6× 360 0.3× 367 0.4× 248 9.6k
Gerrit Jansen Netherlands 58 5.1k 1.0× 957 0.4× 3.9k 2.5× 643 0.5× 816 1.0× 330 11.4k

Countries citing papers authored by Wei Kang

Since Specialization
Citations

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

Fields of papers citing papers by Wei Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Kang. A scholar is included among the top collaborators of Wei Kang 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 Wei Kang. Wei Kang 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
1.
Xie, Fuda, Yang Lyu, Bonan Chen, et al.. (2025). The arginine metabolism and its deprivation in cancer therapy. Cancer Letters. 620. 217680–217680. 17 indexed citations breakdown →
2.
Deng, Xinyi, Junyang Luo, Zaibo Jiang, et al.. (2025). Update in the treatment of cirrhotic patients with portal vein thrombosis. Clinical and Molecular Hepatology. 31(4). 1139–1166.
3.
Farooq, Mohammad Saad, Yidan Jiang, Tianzuo Zhan, et al.. (2024). Nuclear pore protein POM121 regulates subcellular localization and transcriptional activity of PPARγ. Cell Death and Disease. 15(1). 7–7. 5 indexed citations
5.
Xie, Fuda, Bonan Chen, Peiyao Yu, et al.. (2023). Updated Epidemiology of Gastric Cancer in Asia: Decreased Incidence but Still a Big Challenge. Cancers. 15(9). 2639–2639. 56 indexed citations
6.
Chan, Wai Nok, Bonan Chen, Alvin H.K. Cheung, et al.. (2022). Targeting YAP1/TAZ in nonsmall‐cell lung carcinoma: From molecular mechanisms to precision medicine. International Journal of Cancer. 152(4). 558–571. 12 indexed citations
7.
Liu, Xiaoli, Yifei Wang, Bonan Chen, et al.. (2022). Targeting the Hippo Pathway in Gastric Cancer and Other Malignancies in the Digestive System: From Bench to Bedside. Biomedicines. 10(10). 2512–2512. 18 indexed citations
8.
Qian, Yun, Jiaying Xu, Weilin Li, et al.. (2022). The sodium channel subunit SCNN1B suppresses colorectal cancer via suppression of active c-Raf and MAPK signaling cascade. Oncogene. 42(8). 601–612. 7 indexed citations
9.
Wang, Yifei, Huarong Chen, Jun Yu, Wei Kang, & Ka‐Fai To. (2022). Recent insight into the role and therapeutic potential of YAP/TAZ in gastrointestinal cancers. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1877(5). 188787–188787. 7 indexed citations
10.
Bai, Xiaowu, Hong Wei, Weixin Liu, et al.. (2022). Cigarette smoke promotes colorectal cancer through modulation of gut microbiota and related metabolites. Gut. 71(12). 2439–2450. 189 indexed citations breakdown →
11.
Zhou, Yuhang, Jinglin Zhang, Hui Li, et al.. (2020). AMOTL1 enhances YAP1 stability and promotes YAP1-driven gastric oncogenesis. Oncogene. 39(22). 4375–4389. 34 indexed citations
12.
Zhang, Jinglin, Patrick Ming‐Kuen Tang, Yuhang Zhou, et al.. (2019). Targeting the Oncogenic FGF-FGFR Axis in Gastric Carcinogenesis. Cells. 8(6). 637–637. 35 indexed citations
13.
Zhang, Jinglin, Yuhang Zhou, Tingting Huang, et al.. (2018). FGF18, a prominent player in FGF signaling, promotes gastric tumorigenesis through autocrine manner and is negatively regulated by miR-590-5p. Oncogene. 38(1). 33–46. 43 indexed citations
14.
Liu, Lei, Yanquan Zhang, Chi Chun Wong, et al.. (2018). RNF6 Promotes Colorectal Cancer by Activating the Wnt/β-Catenin Pathway via Ubiquitination of TLE3. Cancer Research. 78(8). 1958–1971. 70 indexed citations
15.
Higashimori, Akihiro, Yujuan Dong, Yanquan Zhang, et al.. (2018). Forkhead Box F2 Suppresses Gastric Cancer through a Novel FOXF2–IRF2BPL–β-Catenin Signaling Axis. Cancer Research. 78(7). 1643–1656. 52 indexed citations
16.
Pan, Yi, Joanna H.M. Tong, Wei Kang, et al.. (2018). EXOSC4 functions as a potential oncogene in development and progression of colorectal cancer. Molecular Carcinogenesis. 57(12). 1780–1791. 16 indexed citations
17.
Qian, Yun, Chi Chun Wong, Jiaying Xu, et al.. (2017). Sodium Channel Subunit SCNN1B Suppresses Gastric Cancer Growth and Metastasis via GRP78 Degradation. Cancer Research. 77(8). 1968–1982. 51 indexed citations
18.
Dong, Yujuan, Junhong Zhao, Chung‐Wah Wu, et al.. (2013). Tumor Suppressor Functions of miR-133a in Colorectal Cancer. Molecular Cancer Research. 11(9). 1051–1060. 92 indexed citations
19.
Zhao, Jin, Qiaoyi Liang, Wei Kang, et al.. (2013). Somatostatin Receptor 1, a novel EBV-associated CpG hypermethylated gene, contributes to the pathogenesis of EBV-associated gastric cancer. British Journal of Cancer. 108(12). 2557–2564. 33 indexed citations
20.
Kang, Wei, Joanna H. Tong, Anthony W.H. Chan, et al.. (2011). Yes-Associated Protein 1 Exhibits Oncogenic Property in Gastric Cancer and Its Nuclear Accumulation Associates with Poor Prognosis. Clinical Cancer Research. 17(8). 2130–2139. 211 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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