Tai‐Tsung Chang

944 total citations
31 papers, 657 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 657 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, Italy and United States. Tai‐Tsung Chang's co-authors include Ting‐Chao Chou, Subhash C. Gulati, Michael Colvin, C M Tiu, Ellen M. McDonagh, I‐Wen Penn, Lucio Luzzatto, Cyrine E. Haidar, Kelly E. Caudle and Cheng‐Ting Shih 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 630 citations

Peers

Tai‐Tsung Chang
Comparison fields: 5 of 88
  • Molecular Biology 151
  • Pediatrics, Perinatology and Child Health 143
  • Hematology 141
  • Pulmonary and Respiratory Medicine 108
  • Epidemiology 91
Replace John Mondick with:
John Mondick United States
Samir Mallat Lebanon
Friedrich Priem Germany
Kostas Stylianou Greece
Ovadia Shemesh Israel
Ajay P. Sharma Canada
E.P.G. Mansvelt South Africa
Alex B. Magil Canada
Hans Dieperink Denmark
Su-Kil Park South Korea
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Citations per field, relative to Tai‐Tsung Chang
Tai‐Tsung Chang · 1×
Citations per year, relative to Tai‐Tsung Chang
Tai‐Tsung Chang · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 92
2 5
3 5
4 51
5 10
6 28
7 29
8 3
9 5
10 2
11 13
12 27
13 8
14 20
15 4
16 16
17 19
18 69
19 18
20 18

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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