K. Y. Tsang

50 total papers · 873 total citations
32 papers, 718 citations indexed

About

K. Y. Tsang is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, K. Y. Tsang has authored 32 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Immunology, 8 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in K. Y. Tsang's work include Immunotherapy and Immune Responses (14 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Cancer Research and Treatments (4 papers). K. Y. Tsang is often cited by papers focused on Immunotherapy and Immune Responses (14 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Cancer Research and Treatments (4 papers). K. Y. Tsang collaborates with scholars based in United States, Italy and Canada. K. Y. Tsang's co-authors include Jeffrey Schlom, Pierpaolo Correale, Carol Nieroda, S Zaremba, Mingzhi Zhu, David J. Cole, H. Hugh Fudenberg, Miaozhang Zhu, John Marshall and Raymond P. Donnelly and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

K. Y. Tsang

31 papers receiving 689 citations

Author Peers

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

Author						Papers	Cites
K. Y. Tsang	521	271	268	82	77	32	718
A M Pitts	303 0.6×	181 0.7×	105 0.4×	75 0.9×	54 0.7×	25	694
Krzysztof Grzegorzewski	368 0.7×	312 1.2×	214 0.8×	88 1.1×	49 0.6×	34	859
J. J. Rinehart	268 0.5×	154 0.6×	193 0.7×	26 0.3×	88 1.1×	28	650
Haifeng Song	286 0.5×	386 1.4×	105 0.4×	61 0.7×	73 0.9×	32	828
G. P. Sandilands	384 0.7×	195 0.7×	186 0.7×	92 1.1×	122 1.6×	40	809
Oscar De La Calle-Martin	278 0.5×	155 0.6×	242 0.9×	38 0.5×	66 0.9×	35	688
Joanna Stanson	436 0.8×	338 1.2×	206 0.8×	31 0.4×	42 0.5×	20	714
Richard S. Schulof	249 0.5×	152 0.6×	140 0.5×	109 1.3×	20 0.3×	30	657
Sergiusz Markowicz	500 1.0×	231 0.9×	227 0.8×	34 0.4×	32 0.4×	30	751
Ingrid Jakobsen Falk	490 0.9×	293 1.1×	203 0.8×	105 1.3×	37 0.5×	37	880

Countries citing papers authored by K. Y. Tsang

Since Specialization

Citations

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

Fields of papers citing papers by K. Y. Tsang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Y. Tsang. 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 K. Y. Tsang. The network helps show where K. Y. Tsang may publish in the future.

Co-authorship network of co-authors of K. Y. Tsang

This figure shows the co-authorship network connecting the top 25 collaborators of K. Y. Tsang. A scholar is included among the top collaborators of K. Y. Tsang 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 K. Y. Tsang. K. Y. Tsang 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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