Ting C. Wong

17 total papers · 821 total citations
14 papers, 673 citations indexed

About

Ting C. Wong is a scholar working on Molecular Biology, Organic Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ting C. Wong has authored 14 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Organic Chemistry and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ting C. Wong's work include Glycosylation and Glycoproteins Research (9 papers), Carbohydrate Chemistry and Synthesis (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Ting C. Wong is often cited by papers focused on Glycosylation and Glycoproteins Research (9 papers), Carbohydrate Chemistry and Synthesis (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Ting C. Wong collaborates with scholars based in Canada, United States and India. Ting C. Wong's co-authors include R. Rao Koganty, B. Michael Longenecker, John Samuel, Raymond U. Lemieux, Grant D. MacLean, Sham S. Gandhi, J.-M. Nabholtz, Yuan Chuan Lee, Jerry Liao and Elvin A. Kabat and has published in prestigious journals such as The Journal of Immunology, Tetrahedron Letters and Pure and Applied Chemistry.

In The Last Decade

Ting C. Wong

14 papers receiving 624 citations

Author Peers

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

Author						Papers	Cites
Ting C. Wong	492	289	245	208	96	14	673
Eliada Lazoura	423 0.9×	269 0.9×	166 0.7×	59 0.3×	64 0.7×	19	764
Margot Larkin	508 1.0×	209 0.7×	261 1.1×	114 0.5×	36 0.4×	10	730
Róisín O’Flaherty	596 1.2×	157 0.5×	124 0.5×	206 1.0×	57 0.6×	28	782
Payton A. Weidenbacher	503 1.0×	202 0.7×	59 0.2×	157 0.8×	75 0.8×	13	785
Weijie Dong	606 1.2×	215 0.7×	96 0.4×	84 0.4×	57 0.6×	32	774
Chao Gao	449 0.9×	213 0.7×	180 0.7×	90 0.4×	38 0.4×	33	661
Rachel E. Taylor	428 0.9×	173 0.6×	78 0.3×	180 0.9×	35 0.4×	8	622
Eve Barak Briles	479 1.0×	210 0.7×	117 0.5×	83 0.4×	72 0.8×	12	743
Guido Kohla	382 0.8×	130 0.4×	128 0.5×	77 0.4×	38 0.4×	24	693
Jihye Jang‐Lee	546 1.1×	247 0.9×	141 0.6×	104 0.5×	44 0.5×	9	730

Countries citing papers authored by Ting C. Wong

Since Specialization

Citations

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

Fields of papers citing papers by Ting C. Wong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting C. 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 Ting C. Wong. The network helps show where Ting C. Wong may publish in the future.

Co-authorship network of co-authors of Ting C. Wong

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