Mazie Tsang

95 total papers · 895 total citations
26 papers, 244 citations indexed

About

Mazie Tsang is a scholar working on Genetics, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mazie Tsang has authored 26 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 10 papers in Pathology and Forensic Medicine and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mazie Tsang's work include Lymphoma Diagnosis and Treatment (10 papers), Chronic Lymphocytic Leukemia Research (7 papers) and CNS Lymphoma Diagnosis and Treatment (5 papers). Mazie Tsang is often cited by papers focused on Lymphoma Diagnosis and Treatment (10 papers), Chronic Lymphocytic Leukemia Research (7 papers) and CNS Lymphoma Diagnosis and Treatment (5 papers). Mazie Tsang collaborates with scholars based in United States, Mexico and Denmark. Mazie Tsang's co-authors include Sameer A. Parikh, Tait D. Shanafelt, Colin P. West, Paolo Strati, Hong Xu, Andrew Wang, Kae M. Pusic, George Hui, Zoraida P. Aguilar and James L. Rubenstein and has published in prestigious journals such as Journal of Clinical Oncology, Blood and The FASEB Journal.

In The Last Decade

Mazie Tsang

22 papers receiving 240 citations

Author Peers

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

Author						Papers	Cites
Mazie Tsang	102	92	76	37	35	26	244
R. Mozzana	67 0.7×	84 0.9×	41 0.5×	22 0.6×	22 0.6×	24	195
Muhammad Junaid Tariq	35 0.3×	59 0.6×	66 0.9×	42 1.1×	31 0.9×	42	276
Suheil Albert Atallah‐Yunes	32 0.3×	48 0.5×	81 1.1×	41 1.1×	18 0.5×	22	295
Juan Manuel Casas Fernández de Tejerina	35 0.3×	27 0.3×	81 1.1×	44 1.2×	12 0.3×	27	325
Laëtitia Souchet	151 1.5×	106 1.2×	96 1.3×	22 0.6×	13 0.4×	18	302
Isabel González-Gascón-y-Marín	105 1.0×	80 0.9×	83 1.1×	32 0.9×	18 0.5×	32	330
Irl Brian Greenwell	92 0.9×	90 1.0×	31 0.4×	75 2.0×	27 0.8×	19	254
Nydia Strachman Bacal	74 0.7×	39 0.4×	40 0.5×	31 0.8×	37 1.1×	41	206
Sushrut Patil	60 0.6×	58 0.6×	36 0.5×	69 1.9×	33 0.9×	35	290
David Bosler	55 0.5×	74 0.8×	38 0.5×	33 0.9×	8 0.2×	30	260

Countries citing papers authored by Mazie Tsang

Since Specialization

Citations

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

Fields of papers citing papers by Mazie Tsang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mazie Tsang

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