Pak Shing Kwan

1.2k total citations
10 papers, 1.0k citations indexed

About

Pak Shing Kwan is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Pak Shing Kwan has authored 10 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Pak Shing Kwan's work include MicroRNA in disease regulation (4 papers), Cancer Cells and Metastasis (3 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). Pak Shing Kwan is often cited by papers focused on MicroRNA in disease regulation (4 papers), Cancer Cells and Metastasis (3 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). Pak Shing Kwan collaborates with scholars based in Hong Kong, China and Australia. Pak Shing Kwan's co-authors include Stephanie Ma, Xin‐Yuan Guan, Kwok Wah Chan, Yuen Piu Chan, Kwan Ho Tang, Terence K. Lee, Man Tong, Irene Oi‐Lin Ng, Paul B.S. Lai and Kwan Man and has published in prestigious journals such as Gastroenterology, Hepatology and Cancer Research.

In The Last Decade

Pak Shing Kwan

10 papers receiving 992 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pak Shing Kwan Hong Kong 8 685 443 439 106 96 10 1.0k
Yuen Piu Chan Hong Kong 11 683 1.0× 427 1.0× 462 1.1× 107 1.0× 110 1.1× 13 1.0k
Teru Kawasoe Japan 11 953 1.4× 292 0.7× 332 0.8× 77 0.7× 37 0.4× 18 1.3k
Nadia Coltella Italy 16 387 0.6× 206 0.5× 194 0.4× 97 0.9× 109 1.1× 24 709
Francesca De Bacco Italy 10 391 0.6× 217 0.5× 359 0.8× 191 1.8× 64 0.7× 13 814
Paolo Luraghi Italy 13 389 0.6× 240 0.5× 380 0.9× 181 1.7× 57 0.6× 17 818
Kazuyoshi Ishibashi Japan 19 580 0.8× 197 0.4× 314 0.7× 90 0.8× 42 0.4× 45 865
Kandavel Shanmugam United States 13 629 0.9× 179 0.4× 509 1.2× 43 0.4× 152 1.6× 27 1.1k
Tetsuhiro Goto Japan 20 698 1.0× 251 0.6× 368 0.8× 66 0.6× 46 0.5× 47 1.1k
Emin Ibrahimov Canada 9 328 0.5× 239 0.5× 397 0.9× 38 0.4× 76 0.8× 12 685
D. Campbell United States 9 388 0.6× 228 0.5× 415 0.9× 49 0.5× 101 1.1× 11 943

Countries citing papers authored by Pak Shing Kwan

Since Specialization
Citations

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

Fields of papers citing papers by Pak Shing Kwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pak Shing Kwan. 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 Pak Shing Kwan. The network helps show where Pak Shing Kwan may publish in the future.

Co-authorship network of co-authors of Pak Shing Kwan

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

All Works

10 of 10 papers shown
1.
Chai, Stella, Man Tong, Pak Shing Kwan, et al.. (2014). Regulatory role of miR-142-3p on the functional hepatic cancer stem cell marker CD133. Oncotarget. 5(14). 5725–5735. 62 indexed citations
2.
Tang, Kwan Ho, Yong Dai, Man Tong, et al.. (2013). A CD90+ Tumor-Initiating Cell Population with an Aggressive Signature and Metastatic Capacity in Esophageal Cancer. Cancer Research. 73(7). 2322–2332. 128 indexed citations
3.
Kwan, Pak Shing, Cornelia Man, Ji Liu, et al.. (2013). Daxx regulates mitotic progression and prostate cancer predisposition. QUT ePrints (Queensland University of Technology). 1 indexed citations
4.
Tong, Man, Kwok Wah Chan, Jessie Y.J. Bao, et al.. (2012). Rab25 Is a Tumor Suppressor Gene with Antiangiogenic and Anti-Invasive Activities in Esophageal Squamous Cell Carcinoma. Cancer Research. 72(22). 6024–6035. 96 indexed citations
5.
Ma, Stephanie, Jessie Y.J. Bao, Pak Shing Kwan, et al.. (2012). Identification of PTK6, via RNA Sequencing Analysis, as a Suppressor of Esophageal Squamous Cell Carcinoma. Gastroenterology. 143(3). 675–686.e12. 70 indexed citations
6.
Kwan, Pak Shing, Cornelia Man, Ji Liu, et al.. (2012). Daxx regulates mitotic progression and prostate cancer predisposition. Carcinogenesis. 34(4). 750–759. 35 indexed citations
7.
Ma, Stephanie, Yuen Piu Chan, Pak Shing Kwan, et al.. (2011). MicroRNA-616 Induces Androgen-Independent Growth of Prostate Cancer Cells by Suppressing Expression of Tissue Factor Pathway Inhibitor TFPI-2. Cancer Research. 71(2). 583–592. 5 indexed citations
8.
Tang, Kwan Ho, Stephanie Ma, Terence K. Lee, et al.. (2011). CD133+ liver tumor-initiating cells promote tumor angiogenesis, growth, and self-renewal through neurotensin/interleukin-8/CXCL1 signaling. Hepatology. 55(3). 807–820. 206 indexed citations
9.
Ma, Stephanie, et al.. (2010). MicroRNA-616 induces androgen-independent growth of prostate cancer cells by suppressing expression of tissue factor pathway inhibitor TFPI-2. The HKU Scholars Hub (University of Hong Kong). 70 indexed citations
10.
Ma, Stephanie, Kwan Ho Tang, Yuen Piu Chan, et al.. (2010). miR-130b Promotes CD133+ Liver Tumor-Initiating Cell Growth and Self-Renewal via Tumor Protein 53-Induced Nuclear Protein 1. Cell stem cell. 7(6). 694–707. 328 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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