Mao‐Song Tsai

49 total papers · 853 total citations
37 papers, 574 citations indexed

About

Mao‐Song Tsai is a scholar working on Infectious Diseases, Epidemiology and Virology. According to data from OpenAlex, Mao‐Song Tsai has authored 37 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Infectious Diseases, 18 papers in Epidemiology and 10 papers in Virology. Recurrent topics in Mao‐Song Tsai's work include HIV/AIDS drug development and treatment (13 papers), HIV Research and Treatment (9 papers) and Pneumocystis jirovecii pneumonia detection and treatment (8 papers). Mao‐Song Tsai is often cited by papers focused on HIV/AIDS drug development and treatment (13 papers), HIV Research and Treatment (9 papers) and Pneumocystis jirovecii pneumonia detection and treatment (8 papers). Mao‐Song Tsai collaborates with scholars based in Taiwan, China and Czechia. Mao‐Song Tsai's co-authors include Chien‐Ching Hung, Hsin‐Yun Sun, Chia‐Jui Yang, Sui‐Yuan Chang, Wen‐Chun Liu, Shan‐Chwen Chang, Aristine Cheng, Pei‐Ying Wu, Yi‐Ching Su and Wang‐Huei Sheng and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and The Journal of Infectious Diseases.

In The Last Decade

Mao‐Song Tsai

36 papers receiving 565 citations

Author Peers

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

Author						Papers	Cites
Mao‐Song Tsai	288	265	117	109	103	37	574
P Gioannini	246 0.9×	223 0.8×	192 1.6×	70 0.6×	67 0.7×	33	590
Yuan‐Ti Lee	327 1.1×	271 1.0×	60 0.5×	87 0.8×	76 0.7×	63	688
Kimon C. Zachary	334 1.2×	227 0.9×	126 1.1×	85 0.8×	46 0.4×	32	593
Jean Paul Viard	406 1.4×	261 1.0×	200 1.7×	100 0.9×	81 0.8×	24	658
Giovanni Cassola	215 0.7×	184 0.7×	99 0.8×	67 0.6×	109 1.1×	46	512
Bernardino Roca	222 0.8×	149 0.6×	80 0.7×	42 0.4×	52 0.5×	55	496
Christer Lidman	249 0.9×	510 1.9×	41 0.4×	104 1.0×	43 0.4×	32	657
Alexandra Scherrer	379 1.3×	214 0.8×	274 2.3×	86 0.8×	53 0.5×	37	588
Vincenza Règine	345 1.2×	399 1.5×	148 1.3×	89 0.8×	50 0.5×	53	629
Pierfrancesco Grima	230 0.8×	178 0.7×	192 1.6×	60 0.6×	183 1.8×	46	569

Countries citing papers authored by Mao‐Song Tsai

Since Specialization

Citations

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

Fields of papers citing papers by Mao‐Song Tsai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mao‐Song Tsai. 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 Mao‐Song Tsai. The network helps show where Mao‐Song Tsai may publish in the future.

Co-authorship network of co-authors of Mao‐Song Tsai

This figure shows the co-authorship network connecting the top 25 collaborators of Mao‐Song Tsai. A scholar is included among the top collaborators of Mao‐Song Tsai 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 Mao‐Song Tsai. Mao‐Song Tsai 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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