Suet‐Ping Wong

470 total citations
10 papers, 338 citations indexed

About

Suet‐Ping Wong is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Suet‐Ping Wong has authored 10 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Genetics. Recurrent topics in Suet‐Ping Wong's work include Virus-based gene therapy research (4 papers), RNA Interference and Gene Delivery (4 papers) and Bacillus and Francisella bacterial research (2 papers). Suet‐Ping Wong is often cited by papers focused on Virus-based gene therapy research (4 papers), RNA Interference and Gene Delivery (4 papers) and Bacillus and Francisella bacterial research (2 papers). Suet‐Ping Wong collaborates with scholars based in United Kingdom, Germany and United States. Suet‐Ping Wong's co-authors include Andia N. Redpath, Richard P. Harbottle, Tariq G. Fellous, Jill R. Johnson, Orestis Argyros, Hans J. Lipps, Armin Baiker, Maya Thanou, Jürgen Haas and Brian H. Johnston and has published in prestigious journals such as Pharmacology & Therapeutics, Bioconjugate Chemistry and Human Gene Therapy.

In The Last Decade

Suet‐Ping Wong

10 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suet‐Ping Wong United Kingdom	8	211	93	63	41	36	10	338
Herdit M. Schüler Germany	10	216 1.0×	120 1.3×	107 1.7×	31 0.8×	62 1.7×	22	398
Lucrezia della Volpe Italy	5	266 1.3×	98 1.1×	113 1.8×	61 1.5×	27 0.8×	10	468
Ronit Reich‐Slotky United States	12	308 1.5×	66 0.7×	89 1.4×	80 2.0×	42 1.2×	29	538
Xia Han United States	13	278 1.3×	100 1.1×	76 1.2×	54 1.3×	48 1.3×	22	436
Davide Ceresa Italy	10	141 0.7×	68 0.7×	68 1.1×	77 1.9×	32 0.9×	20	264
Marlinde L. van den Boogaard Netherlands	11	290 1.4×	58 0.6×	72 1.1×	37 0.9×	16 0.4×	17	392
Mira Park South Korea	15	249 1.2×	99 1.1×	51 0.8×	51 1.2×	69 1.9×	27	559
Taigo Horiguchi Japan	14	351 1.7×	89 1.0×	29 0.5×	23 0.6×	29 0.8×	29	462
Karolina Janczar Poland	9	134 0.6×	44 0.5×	78 1.2×	33 0.8×	31 0.9×	15	327
Anca Remes Germany	9	224 1.1×	182 2.0×	65 1.0×	27 0.7×	58 1.6×	23	388

Countries citing papers authored by Suet‐Ping Wong

Since Specialization

Citations

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

Fields of papers citing papers by Suet‐Ping Wong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suet‐Ping Wong. 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 Suet‐Ping Wong. The network helps show where Suet‐Ping Wong may publish in the future.

Co-authorship network of co-authors of Suet‐Ping Wong

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

All Works

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10 of 10 papers shown

Fellous, Tariq G., Andia N. Redpath, Sapan D. Gandhi, et al.. (2020). Pharmacological tools to mobilise mesenchymal stromal cells into the blood promote bone formation after surgery. npj Regenerative Medicine. 5(1). 3–3. 7 indexed citations

Redpath, Andia N., Moïra François, Suet‐Ping Wong, Dominique Bonnet, & Sara M. Rankin. (2017). Two distinct CXCR4 antagonists mobilize progenitor cells in mice by different mechanisms. Blood Advances. 1(22). 1934–1943. 16 indexed citations

Wong, Suet‐Ping, et al.. (2015). Pericytes, mesenchymal stem cells and their contributions to tissue repair. Pharmacology & Therapeutics. 151. 107–120. 143 indexed citations

Wong, Suet‐Ping & Richard P. Harbottle. (2013). Genetic modification of dividing cells using episomally maintained S/MAR DNA vectors. Molecular Therapy — Nucleic Acids. 2. e115–e115. 7 indexed citations

Wong, Suet‐Ping, et al.. (2013). pH-Triggered Nanoparticle Mediated Delivery of siRNA to Liver Cells in Vitro and in Vivo. Bioconjugate Chemistry. 24(3). 314–332. 33 indexed citations

Argyros, Orestis, Suet‐Ping Wong, & Richard P. Harbottle. (2011). Non-viral episomal modification of cells using S/MAR elements. Expert Opinion on Biological Therapy. 11(9). 1177–1191. 18 indexed citations

Hagedorn, Claudia, Suet‐Ping Wong, Richard P. Harbottle, & Hans J. Lipps. (2011). Scaffold/Matrix Attached Region-Based Nonviral Episomal Vectors. Human Gene Therapy. 22(8). 915–923. 18 indexed citations

Haase, Rudolf, Orestis Argyros, Suet‐Ping Wong, et al.. (2010). pEPito: a significantly improved non-viral episomal expression vector for mammalian cells. BMC Biotechnology. 10(1). 20–20. 61 indexed citations

Howe, Steven J., Suet‐Ping Wong, Hildegard Büning, et al.. (2008). Luciferin detection after intra-nasal vector delivery is improved by intra-nasal rather than intra-peritoneal luciferin administration.. Human Gene Therapy. 0(ja). 3420089880–3420089880. 4 indexed citations

10.

Buckley, Suzanne M. K., Steven J. Howe, Rahimin Affandi Abdul Rahim, et al.. (2008). Luciferin Detection After Intranasal Vector Delivery Is Improved by Intranasal Rather Than Intraperitoneal Luciferin Administration. Human Gene Therapy. 19(10). 1050–1056. 31 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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