Tai‐Tsung Chang

44 total papers · 942 total citations
31 papers, 656 citations indexed

About

Tai‐Tsung Chang is a scholar working on Hematology, Pediatrics, Perinatology and Child Health and Genetics. According to data from OpenAlex, Tai‐Tsung Chang has authored 31 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 7 papers in Pediatrics, Perinatology and Child Health and 6 papers in Genetics. Recurrent topics in Tai‐Tsung Chang's work include Neonatal Health and Biochemistry (3 papers), Acute Myeloid Leukemia Research (3 papers) and Hemoglobinopathies and Related Disorders (3 papers). Tai‐Tsung Chang is often cited by papers focused on Neonatal Health and Biochemistry (3 papers), Acute Myeloid Leukemia Research (3 papers) and Hemoglobinopathies and Related Disorders (3 papers). Tai‐Tsung Chang collaborates with scholars based in Taiwan, United States and Italy. Tai‐Tsung Chang's co-authors include Ting‐Chao Chou, Michael Colvin, Subhash C. Gulati, C M Tiu, Cheng‐Ting Shih, I‐Wen Penn, Mary V. Relling, Kelly E. Caudle, Cyrine E. Haidar and Ellen M. McDonagh and has published in prestigious journals such as Radiology, Clinical Pharmacology & Therapeutics and Journal of General Virology.

In The Last Decade

Tai‐Tsung Chang

31 papers receiving 629 citations

Author Peers

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

Author						Papers	Cites
Tai‐Tsung Chang	151	143	141	108	91	31	656
John Mondick	101 0.7×	116 0.8×	71 0.5×	138 1.3×	98 1.1×	32	595
Jean‐Frédéric Blickle	142 0.9×	51 0.4×	177 1.3×	72 0.7×	86 0.9×	46	781
T. Tan	101 0.7×	109 0.8×	69 0.5×	42 0.4×	70 0.8×	32	781
Mariarosaria Campise	54 0.4×	90 0.6×	191 1.4×	84 0.8×	125 1.4×	42	791
R. Morrison Hurley	122 0.8×	111 0.8×	54 0.4×	173 1.6×	65 0.7×	46	726
Eva Montané	70 0.5×	92 0.6×	106 0.8×	39 0.4×	146 1.6×	40	740
E.P.G. Mansvelt	56 0.4×	92 0.6×	158 1.1×	29 0.3×	45 0.5×	29	640
Basilio De Vizia	111 0.7×	41 0.3×	80 0.6×	176 1.6×	104 1.1×	28	778
G. Roussey	152 1.0×	151 1.1×	33 0.2×	47 0.4×	42 0.5×	35	619
Eugene Daphnis	143 0.9×	54 0.4×	41 0.3×	147 1.4×	77 0.8×	43	777

Countries citing papers authored by Tai‐Tsung Chang

Since Specialization

Citations

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

Fields of papers citing papers by Tai‐Tsung Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tai‐Tsung Chang. 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 Tai‐Tsung Chang. The network helps show where Tai‐Tsung Chang may publish in the future.

Co-authorship network of co-authors of Tai‐Tsung Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Tai‐Tsung Chang. A scholar is included among the top collaborators of Tai‐Tsung Chang 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 Tai‐Tsung Chang. Tai‐Tsung Chang 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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