See Voon Seow

12 total papers · 790 total citations
10 papers, 648 citations indexed

About

See Voon Seow is a scholar working on Immunology, Oncology and Microbiology. According to data from OpenAlex, See Voon Seow has authored 10 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Oncology and 3 papers in Microbiology. Recurrent topics in See Voon Seow's work include Antimicrobial Peptides and Activities (3 papers), CAR-T cell therapy research (3 papers) and Toxin Mechanisms and Immunotoxins (3 papers). See Voon Seow is often cited by papers focused on Antimicrobial Peptides and Activities (3 papers), CAR-T cell therapy research (3 papers) and Toxin Mechanisms and Immunotoxins (3 papers). See Voon Seow collaborates with scholars based in Singapore, United States and South Korea. See Voon Seow's co-authors include Dario Campana, Murray O. Robinson, Takahiro Kamiya, Yi‐Yan Yang, Nikken Wiradharma, Shuguang Zhang, Charlotte A. E. Hauser, Kaw Yan Chua, Paaventhan Palasingam and Prasanna R. Kolatkar and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Biomaterials.

In The Last Decade

See Voon Seow

10 papers receiving 638 citations

Author Peers

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

Author						Papers	Cites
See Voon Seow	299	236	199	189	88	10	648
Ichiro Azuma	180 0.6×	264 1.1×	30 0.2×	170 0.9×	32 0.4×	16	564
Stetson H. Williams	134 0.4×	395 1.7×	132 0.7×	27 0.1×	42 0.5×	7	681
Bruce Mackay	47 0.2×	302 1.3×	334 1.7×	103 0.5×	81 0.9×	14	758
Mary E. Neville	171 0.6×	301 1.3×	55 0.3×	84 0.4×	64 0.7×	20	793
Vânia Sousa Andrade	145 0.5×	175 0.7×	46 0.2×	55 0.3×	15 0.2×	18	577
Matthew L. Mayer	242 0.8×	400 1.7×	307 1.5×	39 0.2×	31 0.4×	9	765
Edie Dullaghan	194 0.6×	315 1.3×	303 1.5×	20 0.1×	62 0.7×	12	740
Alja Oblak	372 1.2×	229 1.0×	110 0.6×	54 0.3×	25 0.3×	15	595
Rui Wang	85 0.3×	522 2.2×	523 2.6×	36 0.2×	102 1.2×	20	789
Xiangyu Hong	86 0.3×	457 1.9×	461 2.3×	23 0.1×	66 0.8×	10	775

Countries citing papers authored by See Voon Seow

Since Specialization

Citations

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

Fields of papers citing papers by See Voon Seow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by See Voon Seow. 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 See Voon Seow. The network helps show where See Voon Seow may publish in the future.

Co-authorship network of co-authors of See Voon Seow

This figure shows the co-authorship network connecting the top 25 collaborators of See Voon Seow. A scholar is included among the top collaborators of See Voon Seow 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 See Voon Seow. See Voon Seow 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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