Siu‐Fun Wong

47 total papers · 2.3k total citations
33 papers, 885 citations indexed

About

Siu‐Fun Wong is a scholar working on Oncology, Hematology and Dermatology. According to data from OpenAlex, Siu‐Fun Wong has authored 33 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 8 papers in Hematology and 7 papers in Dermatology. Recurrent topics in Siu‐Fun Wong's work include Cancer Treatment and Pharmacology (10 papers), HER2/EGFR in Cancer Research (8 papers) and Multiple Myeloma Research and Treatments (5 papers). Siu‐Fun Wong is often cited by papers focused on Cancer Treatment and Pharmacology (10 papers), HER2/EGFR in Cancer Research (8 papers) and Multiple Myeloma Research and Treatments (5 papers). Siu‐Fun Wong collaborates with scholars based in United States, Canada and Netherlands. Siu‐Fun Wong's co-authors include Petra Wilder‐Smith, Mark Bounthavong, Dawn L. Hershman, Carol M. Moinpour, Lori M. Minasian, Danika L. Lew, Katherine D. Crew, James L. Wade, Joseph M. Unger and Kathy S. Albain and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Clinical Cancer Research.

In The Last Decade

Siu‐Fun Wong

33 papers receiving 846 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Siu‐Fun Wong	473	249	189	184	108	33	885
Polly Niravath	453 1.0×	193 0.8×	54 0.3×	209 1.1×	119 1.1×	53	964
Hoon‐Gu Kim	317 0.7×	112 0.4×	51 0.3×	189 1.0×	30 0.3×	42	703
J. Alexandre	370 0.8×	170 0.7×	55 0.3×	205 1.1×	21 0.2×	45	755
Sachin Shah	287 0.6×	211 0.8×	103 0.5×	173 0.9×	16 0.1×	25	736
T. Cerny	347 0.7×	240 1.0×	89 0.5×	156 0.8×	28 0.3×	36	891
Maliha Khan	335 0.7×	232 0.9×	148 0.8×	312 1.7×	32 0.3×	55	1.0k
Jacob Colsky	450 1.0×	235 0.9×	78 0.4×	176 1.0×	72 0.7×	40	899
Justin D. Floyd	473 1.0×	120 0.5×	42 0.2×	179 1.0×	44 0.4×	17	843
Mirte Muller	660 1.4×	77 0.3×	115 0.6×	253 1.4×	205 1.9×	29	886
I Adachi	592 1.3×	190 0.8×	27 0.1×	139 0.8×	43 0.4×	33	957

Countries citing papers authored by Siu‐Fun Wong

Since Specialization

Citations

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

Fields of papers citing papers by Siu‐Fun Wong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siu‐Fun Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Siu‐Fun Wong. A scholar is included among the top collaborators of Siu‐Fun 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 Siu‐Fun Wong. Siu‐Fun 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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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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