James Ch’ng

777 total citations · 1 hit paper
7 papers, 503 citations indexed

About

James Ch’ng is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, James Ch’ng has authored 7 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Epidemiology and 2 papers in Oncology. Recurrent topics in James Ch’ng's work include RNA modifications and cancer (2 papers), Viral-associated cancers and disorders (2 papers) and Virus-based gene therapy research (1 paper). James Ch’ng is often cited by papers focused on RNA modifications and cancer (2 papers), Viral-associated cancers and disorders (2 papers) and Virus-based gene therapy research (1 paper). James Ch’ng collaborates with scholars based in United States, Israel and Greece. James Ch’ng's co-authors include Heather R. Christofk, Shivani K Thaker, Noga Ron‐Harel, Ayelet Erez, Micah A. Luftig, Theodore B. Moore, Ashley P. Barry, Nicolás M. Reinoso-Vizcaíno, K. Mark Parnell and Sandeep S. Davé and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Science Advances and PLoS Pathogens.

In The Last Decade

James Ch’ng

7 papers receiving 499 citations

Hit Papers

align trajectories

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.

Viral hijacking of cellular metabolism

2019 350 citations Shivani K Thaker, James Ch’ng et al. BMC Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James Ch’ng United States	6	205	153	124	98	87	7	503
Xiuzhen Yan United States	12	257 1.3×	118 0.8×	191 1.5×	137 1.4×	78 0.9×	13	577
Bettina Tippler Germany	15	239 1.2×	110 0.7×	193 1.6×	186 1.9×	63 0.7×	25	688
Wen Meng United States	13	166 0.8×	148 1.0×	83 0.7×	67 0.7×	45 0.5×	22	416
Sarah L. Grady United States	5	163 0.8×	64 0.4×	179 1.4×	109 1.1×	68 0.8×	8	410
Xiaojing Chi China	11	232 1.1×	163 1.1×	112 0.9×	122 1.2×	34 0.4×	31	584
Zahia Touat France	4	267 1.3×	81 0.5×	140 1.1×	166 1.7×	72 0.8×	4	499
Huifang M. Zhang Canada	19	441 2.2×	95 0.6×	130 1.0×	195 2.0×	121 1.4×	27	826
Upendra Katneni United States	13	331 1.6×	143 0.9×	59 0.5×	87 0.9×	64 0.7×	29	616

Countries citing papers authored by James Ch’ng

Since Specialization

Citations

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

Fields of papers citing papers by James Ch’ng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Ch’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 James Ch’ng. The network helps show where James Ch’ng may publish in the future.

Co-authorship network of co-authors of James Ch’ng

This figure shows the co-authorship network connecting the top 25 collaborators of James Ch’ng. A scholar is included among the top collaborators of James Ch’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 James Ch’ng. James Ch’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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7 of 7 papers shown

1.

SoRelle, Elliott D., et al.. (2024). Epstein-Barr virus reactivation induces divergent abortive, reprogrammed, and host shutoff states by lytic progression. PLoS Pathogens. 20(10). e1012341–e1012341. 7 indexed citations

2.

Michalik, David E., Jacqueline Casillas, Ramesh Patel, et al.. (2022). Recombinant Human Granulocyte-Macrophage Colony-Stimulating Factor (rhu GM-CSF) as Adjuvant Therapy for Invasive Fungal Diseases. Open Forum Infectious Diseases. 9(11). ofac535–ofac535. 24 indexed citations

3.

Ch’ng, James, K. Mark Parnell, Nicolás M. Reinoso-Vizcaíno, et al.. (2021). Monocarboxylate transporter antagonism reveals metabolic vulnerabilities of viral-driven lymphomas. Proceedings of the National Academy of Sciences. 118(25). 45 indexed citations

4.

Ch’ng, James, et al.. (2021). Targeting nucleotide metabolism as the nexus of viral infections, cancer, and the immune response. Science Advances. 7(21). 53 indexed citations

5.

Wilhalme, Holly, et al.. (2020). Pediatric hematopoietic cell transplantation: Longitudinal trends in body mass index and outcomes. Pediatric Transplantation. 24(7). e13844–e13844. 4 indexed citations

6.

Ch’ng, James, et al.. (2020). Treatment of post‐transplant lymphoproliferative disorder (PTLD) in a heart transplant recipient with chimeric antigen receptor T‐cell therapy. Pediatric Transplantation. 25(5). e13861–e13861. 20 indexed citations

7.

Thaker, Shivani K, James Ch’ng, & Heather R. Christofk. (2019). Viral hijacking of cellular metabolism. BMC Biology. 17(1). 59–59. 350 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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