William Kong

7.2k citations
14 papers · 2.3k indexed · 2 hit papers · h-index 9
Topics
Cancer-related molecular mechanisms research (9 papers)MicroRNA in disease regulation (8 papers)Circular RNAs in diseases (5 papers)

In The Last Decade

William Kong

14 papers receiving 2.3k citations

Hit Papers

MicroRNA Expression Profiling in Human Ovarian Cancer: mi...200820262014202020082008250500750

Peers

William Kong
Comparison fields: 5 of 96
  • Molecular Biology 1.9k
  • Cancer Research 1.7k
  • Oncology 335
  • Pulmonary and Respiratory Medicine 150
  • Immunology 115
Replace Н. Е. Кушлинский with:
Н. Е. Кушлинский Russia
Kazumori Kawakami Japan
Masashi Idogawa Japan
Robert Schickel United States
Meryem Gülfem Öner Germany
Yan Qin China
Wei Guan China
Jian Zhou China
Lourdes Mengual Spain
William Kong relative to Н. Е. Кушлинский Russia Н. Е. Кушлинский's profile →
Citations per field
00.5×4.2×
Н. Е. Кушлинский · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 43
3 243
4 17
5 127
6 81
7 2
8 1
9 272
10 1
11
The Role of MicroRNA-155 in Human Breast Cancer
1
12 88
13
MicroRNA Expression Profiling in Human Ovarian Cancer: miR-214 Induces Cell Survival and Cisplatin Resistance by Targeting PTENbreakdown →
881
14
MicroRNA-155 Is Regulated by the Transforming Growth Factor β/Smad Pathway and Contributes to Epithelial Cell Plasticity by Targeting RhoAbreakdown →
573

About William Kong

William Kong is a scholar working on Cancer Research, Virology and Molecular Biology, having authored 14 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (8 papers) and Circular RNAs in diseases (5 papers). The work is most often cited by research in Cancer Research (1.7k citations), Molecular Biology (1.9k citations) and Oncology (335 citations). William Kong has collaborated with scholars based in United States, Australia and Israel. Frequent 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. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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