J. Chan

450 total citations
9 papers, 330 citations indexed

About

J. Chan is a scholar working on Molecular Biology, Molecular Medicine and Genetics. According to data from OpenAlex, J. Chan has authored 9 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Molecular Medicine and 2 papers in Genetics. Recurrent topics in J. Chan's work include Antibiotic Resistance in Bacteria (3 papers), Acute Myeloid Leukemia Research (2 papers) and Pluripotent Stem Cells Research (2 papers). J. Chan is often cited by papers focused on Antibiotic Resistance in Bacteria (3 papers), Acute Myeloid Leukemia Research (2 papers) and Pluripotent Stem Cells Research (2 papers). J. Chan collaborates with scholars based in China, Singapore and United Kingdom. J. Chan's co-authors include Kin‐Hung Chow, Eileen L. Lai, W. U. Lo, Pak‐Leung Ho, Kwok‐Yung Yuen, Pierra Y. Law, Yok‐Lam Kwong, K. F. Wong, W.Y. Au and Adrian Kee Keong Teo and has published in prestigious journals such as Annals of Oncology, Stem Cells and Cell Reports.

In The Last Decade

J. Chan

9 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Chan China	8	161	117	80	71	56	9	330
Haiyan Long China	8	101 0.6×	78 0.7×	53 0.7×	30 0.4×	18 0.3×	13	307
Matthias H. Busch Netherlands	8	69 0.4×	57 0.5×	40 0.5×	53 0.7×	13 0.2×	16	242
Anita N. Stumpf Germany	7	89 0.6×	105 0.9×	126 1.6×	21 0.3×	23 0.4×	8	339
Ji Young Choi South Korea	11	136 0.8×	142 1.2×	74 0.9×	26 0.4×	42 0.8×	17	356
Kamel Ben‐Mahrez Tunisia	11	140 0.9×	167 1.4×	58 0.7×	42 0.6×	39 0.7×	34	356
Shelley Campeau United States	10	144 0.9×	99 0.8×	16 0.2×	29 0.4×	74 1.3×	14	425
Barbara Dehecq France	9	212 1.3×	146 1.2×	63 0.8×	30 0.4×	54 1.0×	13	320
Neil Molyneaux United States	6	426 2.6×	225 1.9×	218 2.7×	65 0.9×	45 0.8×	7	634
Michael P. Motley United States	8	112 0.7×	145 1.2×	44 0.6×	9 0.1×	70 1.3×	10	361
Floriana Barbera Italy	11	80 0.5×	156 1.3×	27 0.3×	17 0.2×	78 1.4×	24	370

Countries citing papers authored by J. Chan

Since Specialization

Citations

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

Fields of papers citing papers by J. Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Chan

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Chan, J. & Adrian Kee Keong Teo. (2020). Replicates in stem cell models—How complicated!. Stem Cells. 38(9). 1055–1059. 10 indexed citations

2.

Chan, J., Chia Yin Chong, Koh Cheng Thoon, et al.. (2019). Invasive paediatric Elizabethkingia meningoseptica infections are best treated with a combination of piperacillin/tazobactam and trimethoprim/sulfamethoxazole or fluoroquinolone. Journal of Medical Microbiology. 68(8). 1167–1172. 21 indexed citations

3.

Chan, J., Zheng‐Shan Chong, Haofei Wang, et al.. (2016). RNAi Reveals Phase-Specific Global Regulators of Human Somatic Cell Reprogramming. Cell Reports. 15(12). 2597–2607. 40 indexed citations

4.

Ho, Pak‐Leung, J. Chan, W. U. Lo, et al.. (2012). Dissemination of plasmid-mediated fosfomycin resistance fosA3 among multidrug-resistant Escherichia coli from livestock and other animals. Journal of Applied Microbiology. 114(3). 695–702. 72 indexed citations

5.

Ho, Pak‐Leung, Kin‐Hung Chow, Eileen L. Lai, et al.. (2011). Extensive dissemination of CTX-M-producing Escherichia coli with multidrug resistance to 'critically important' antibiotics among food animals in Hong Kong, 2008-10. Journal of Antimicrobial Chemotherapy. 66(4). 765–768. 90 indexed citations

6.

Au, W.Y., A K W Lie, Chor Sang Chim, et al.. (2003). Arsenic trioxide in comparison with chemotherapy and bone marrow transplantation for the treatment of relapsed acute promyelocytic leukaemia. Annals of Oncology. 14(5). 752–757. 51 indexed citations

7.

Wan, T.S.K., et al.. (2003). Trisomy 21 and other chromosomal abnormalities in acute promyelocytic leukemia. Cancer Genetics and Cytogenetics. 140(2). 170–173. 6 indexed citations

8.

Wong, K. F., et al.. (2002). Chromosomal abnormalities in T‐cell large granular lymphocyte leukaemia: report of two cases and review of the literature. British Journal of Haematology. 116(3). 598–600. 26 indexed citations

9.

Au, W.Y., Yok‐Lam Kwong, S. K., et al.. (2000). Hairy cell leukemia in Hong Kong Chinese: a 12-year retrospective survey. Hematological Oncology. 18(4). 155–159. 14 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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