William Kong

7.2k total citations · 2 hit papers
14 papers, 2.3k citations indexed

About

William Kong is a scholar working on Molecular Biology, Cancer Research and Pharmacology. According to data from OpenAlex, William Kong has authored 14 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Cancer Research and 1 paper in Pharmacology. Recurrent topics in William Kong's work include Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (8 papers) and Circular RNAs in diseases (5 papers). William Kong is often cited by papers focused on Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (8 papers) and Circular RNAs in diseases (5 papers). William Kong collaborates with scholars based in United States, Australia and Israel. William Kong's co-authors include Jin Q. Cheng, Jianjun Zhao, Lili He, Domenico Coppola, Hua Yang, William S. Dalton, Jiawang Wang, Robert M. Wenham, Santo V. Nicosia and Patricia A. Kruk and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

William Kong

14 papers receiving 2.3k citations

Hit Papers

MicroRNA Expression Profiling in Human Ovarian Cancer: mi... 2008 2026 2014 2020 2008 2008 250 500 750
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. MicroRNA Expression Profiling in Human Ovarian Cancer: miR-214 Induces Cell Survival and Cisplatin Resistance by Targeting PTEN
    2008 881 citations Hua Yang, William Kong et al. Cancer Research profile →
  2. MicroRNA-155 Is Regulated by the Transforming Growth Factor β/Smad Pathway and Contributes to Epithelial Cell Plasticity by Targeting RhoA
    2008 573 citations William Kong, Hua Yang et al. Molecular and Cellular Biology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Kong United States 9 1.9k 1.7k 335 150 115 14 2.3k
Н. Е. Кушлинский Russia 20 1.1k 0.6× 854 0.5× 473 1.4× 301 2.0× 139 1.2× 275 1.8k
Kazumori Kawakami Japan 27 2.1k 1.1× 1.5k 0.9× 254 0.8× 185 1.2× 116 1.0× 51 2.7k
Kohichi Kawahara Japan 16 1.7k 0.9× 1.2k 0.7× 246 0.7× 174 1.2× 99 0.9× 30 2.0k
Cecilia S. Leung United States 11 1.2k 0.6× 824 0.5× 450 1.3× 148 1.0× 253 2.2× 17 1.7k
Robert Schickel United States 8 1.4k 0.7× 1.0k 0.6× 167 0.5× 56 0.4× 245 2.1× 8 1.7k
Yan Qin China 18 1.2k 0.7× 1.2k 0.7× 290 0.9× 111 0.7× 227 2.0× 30 1.7k
Jian Zhou China 22 858 0.5× 636 0.4× 367 1.1× 234 1.6× 142 1.2× 95 1.4k
Meryem Gülfem Öner Germany 7 816 0.4× 766 0.5× 296 0.9× 75 0.5× 188 1.6× 7 1.3k
Jian Han China 18 1.2k 0.7× 733 0.4× 162 0.5× 66 0.4× 136 1.2× 50 1.6k

Countries citing papers authored by William Kong

Since Specialization
Citations

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

Fields of papers citing papers by William Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Kong

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

All Works

14 of 14 papers shown
1.
Kong, William, Wan-Jin Lu, Megha Dubey, et al.. (2025). Neuroendocrine cells orchestrate regeneration through Desert hedgehog signaling. Cell. 188(18). 5020–5038.e20. 1 indexed citations
2.
Liu, Qingkun, Xibin Liang, Qian Wang, et al.. (2019). PGE 2 signaling via the neuronal EP2 receptor increases injury in a model of cerebral ischemia. Proceedings of the National Academy of Sciences. 116(20). 10019–10024. 43 indexed citations
3.
Jeong, Youngtae, Ngoc T. Hoang, Alexander F. Lovejoy, et al.. (2016). Role of KEAP1 / NRF2 and TP53 Mutations in Lung Squamous Cell Carcinoma Development and Radiation Resistance. Cancer Discovery. 7(1). 86–101. 243 indexed citations
4.
Kroon, Jeroen, et al.. (2015). Mouthguard Use and Awareness of Junior Rugby League Players in the Gold Coast, Australia. Clinical Journal of Sport Medicine. 26(2). 128–132. 17 indexed citations
5.
Richards, Edward J., Gu Zhang, Jennifer Permuth‐Wey, et al.. (2015). Long Non-coding RNAs (LncRNA) Regulated by Transforming Growth Factor (TGF) β. Journal of Biological Chemistry. 290(11). 6857–6867. 127 indexed citations
6.
Jung, Hyun Min, Brittany L. Phillips, Rushi S. Patel, et al.. (2012). Keratinization-associated miR-7 and miR-21 Regulate Tumor Suppressor Reversion-inducing Cysteine-rich Protein with Kazal Motifs (RECK) in Oral Cancer. Journal of Biological Chemistry. 287(35). 29261–29272. 81 indexed citations
7.
Richards, Edward J., et al.. (2012). Abstract B28: MicroRNA-641 activates MAPK by targeting NF1 and cooperates with its host gene AKT2 in human cancer. Cancer Research. 72(2_Supplement). B28–B28. 2 indexed citations
8.
Kong, William, Lili He, Lei Tan, et al.. (2011). Abstract 3986: MicroRNA-155 regulates angiogenesis by targeting Von Hippel-Lindau (VHL) tumor suppressor. Cancer Research. 71(8_Supplement). 3986–3986. 1 indexed citations
9.
Zhao, Jianjun, Jianhong Lin, Tint Lwin, et al.. (2010). microRNA expression profile and identification of miR-29 as a prognostic marker and pathogenetic factor by targeting CDK6 in mantle cell lymphoma. Blood. 115(13). 2630–2639. 272 indexed citations
10.
Kim, Donghwa, Jianjun Zhao, William Kong, et al.. (2010). Abstract 3054: MicroRNA expression profile in cutaneous melanoma: miR-17-92 cluster is a progression and prognostic marker. Cancer Research. 70(8_Supplement). 3054–3054. 1 indexed citations
11.
Kong, William. (2010). The Role of MicroRNA-155 in Human Breast Cancer. Digital Commons - University of South Florida (University of South Florida). 1 indexed citations
12.
Kong, William, Jianjun Zhao, Lili He, & Jin Q. Cheng. (2008). Strategies for profiling MicroRNA expression. Journal of Cellular Physiology. 218(1). 22–25. 88 indexed citations
13.
Yang, Hua, William Kong, Lili He, et al.. (2008). MicroRNA Expression Profiling in Human Ovarian Cancer: miR-214 Induces Cell Survival and Cisplatin Resistance by Targeting PTEN. Cancer Research. 68(2). 425–433. 881 indexed citations breakdown →
14.
Kong, William, Hua Yang, Lili He, et al.. (2008). MicroRNA-155 Is Regulated by the Transforming Growth Factor β/Smad Pathway and Contributes to Epithelial Cell Plasticity by Targeting RhoA. Molecular and Cellular Biology. 28(22). 6773–6784. 573 indexed citations breakdown →

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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