King Pan Ng

923 total citations
11 papers, 213 citations indexed

About

King Pan Ng is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, King Pan Ng has authored 11 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Immunology. Recurrent topics in King Pan Ng's work include CAR-T cell therapy research (4 papers), RNA Research and Splicing (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). King Pan Ng is often cited by papers focused on CAR-T cell therapy research (4 papers), RNA Research and Splicing (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). King Pan Ng collaborates with scholars based in Singapore, Hong Kong and United States. King Pan Ng's co-authors include Kevin A. W. Lee, Vladimir N. Uversky, Christopher T. Denny, Charles Chuah, Kian Leong Lee, S. Tiong Ong, Soo‐Yong Tan, Lorenz Poellinger, Weijie Huang and Mark Seow Khoon Chong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and PLoS ONE.

In The Last Decade

King Pan Ng

10 papers receiving 210 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
King Pan Ng Singapore	7	125	52	35	29	27	11	213
Thomas Mehrling United Kingdom	7	132 1.1×	25 0.5×	81 2.3×	73 2.5×	13 0.5×	22	258
Lori Jukofsky United States	8	152 1.2×	29 0.6×	86 2.5×	14 0.5×	17 0.6×	16	256
Gaetanina Golino Switzerland	8	193 1.5×	50 1.0×	69 2.0×	23 0.8×	43 1.6×	16	245
Gege Gui United States	9	164 1.3×	118 2.3×	61 1.7×	50 1.7×	44 1.6×	18	314
Sayuri Horikawa Japan	4	250 2.0×	99 1.9×	30 0.9×	52 1.8×	74 2.7×	5	319
Zhihong J. Wang United States	6	181 1.4×	136 2.6×	69 2.0×	79 2.7×	18 0.7×	10	314
Jennifer VanOudenhove United States	9	236 1.9×	26 0.5×	30 0.9×	15 0.5×	54 2.0×	27	339
Marco De Dominici United States	10	188 1.5×	107 2.1×	84 2.4×	43 1.5×	37 1.4×	17	293
Timo K. Nykopp Finland	9	154 1.2×	17 0.3×	47 1.3×	14 0.5×	40 1.5×	18	276
Katherine Delaria United States	5	132 1.1×	28 0.5×	41 1.2×	26 0.9×	40 1.5×	8	231

Countries citing papers authored by King Pan Ng

Since Specialization

Citations

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

Fields of papers citing papers by King Pan Ng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by King Pan Ng. 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 King Pan Ng. The network helps show where King Pan Ng may publish in the future.

Co-authorship network of co-authors of King Pan Ng

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

All Works

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11 of 11 papers shown

Ng, King Pan, Michaela Su-Fern Seng, & Wing Leung. (2025). Optimization of hypo-alloimmunogenic multispecific CAR-T and SARS-CoV-2-specific T cells for off-the-shelf adoptive cell therapy. Molecular Therapy — Methods & Clinical Development. 33(2). 101462–101462. 1 indexed citations

Seng, Michaela Su-Fern, King Pan Ng, Thuan Tong Tan, et al.. (2024). A phase I/II study of adoptive SARS-CoV-2-specific T cells in immunocompromised hosts with or at risk of severe COVID-19 infection. Cytotherapy. 26(10). 1170–1178. 1 indexed citations

Krishnan, Vaidehi, King Pan Ng, Chuqi Wang, et al.. (2024). The BIM deletion polymorphism potentiates the survival of leukemia stem and progenitor cells and impairs response to targeted therapies. Leukemia. 39(1). 134–143.

Leung, Wing, Yeh Ching Linn, Jenny G. Low, et al.. (2020). Rapid production of clinical‐grade SARS‐CoV‐2 specific T cells. PubMed. 3(4). e101–e101. 16 indexed citations

Ng, King Pan, et al.. (2018). The arginase inhibitor Nω−hydroxy−nor−arginine (nor−NOHA) induces apoptosis in leukemic cells specifically under hypoxic conditions but CRISPR/Cas9 excludes arginase 2 (ARG2) as the functional target. PLoS ONE. 13(10). e0205254–e0205254. 11 indexed citations

Chong, Mark Seow Khoon, et al.. (2016). Human Bone Xenografts: from Preclinical Testing for Regenerative Medicine to Modeling of Diseases. 2(3). 158–170. 9 indexed citations

Ng, King Pan, Kian Leong Lee, Weijie Huang, et al.. (2014). Physiologic hypoxia promotes maintenance of CML stem cells despite effective BCR-ABL1 inhibition. Blood. 123(21). 3316–3326. 78 indexed citations

Zhao, Yang, et al.. (2012). The RNA Pol II sub-complex hsRpb4/7 is required for viability of multiple human cell lines. Protein & Cell. 3(11). 846–854. 8 indexed citations

Ng, King Pan, et al.. (2010). A transcription assay for EWS oncoproteins in Xenopus oocytes. Protein & Cell. 1(10). 927–934. 3 indexed citations

10.

Ng, King Pan, et al.. (2009). In Vitro Activity of the EWS Oncogene Transcriptional Activation Domain. Biochemistry. 48(13). 2849–2857. 7 indexed citations

11.

Ng, King Pan, et al.. (2007). Multiple aromatic side chains within a disordered structure are critical for transcription and transforming activity of EWS family oncoproteins. Proceedings of the National Academy of Sciences. 104(2). 479–484. 79 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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