Ting-Chang Sheu

891 citations
5 papers · 676 indexed · 1 hit paper · h-index 5
Topics
Animal Disease Management and Epidemiology (2 papers)Vector-Borne Animal Diseases (1 paper)Viral Infections and Immunology Research (1 paper)
Journals
JAMACirculationSHILAP Revista de lepidopterología
Partner nations
United StatesTaiwan

In The Last Decade

Ting-Chang Sheu

5 papers receiving 659 citations

Hit Papers

Cardiovascular, Bleeding, and Mortality Risks in Elderly ...20142026201820222014100200300400

Peers

Ting-Chang Sheu
Comparison fields: 5 of 64
  • Cardiology and Cardiovascular Medicine 476
  • Internal Medicine 246
  • Hematology 121
  • Genetics 71
  • Economics and Econometrics 61
Replace Anne‐Céline Martin with:
Anne‐Céline Martin France
Ashley Chen United States
S. Gehrisch Germany
Claire Flaujac France
David C. Kressin United States
JD Banga Netherlands
Sonia S. Anand Canada
Brynja R. Guðmundsdóttir Iceland
Lai Heng Lee Singapore
A. Groth Germany
Ting-Chang Sheu relative to Anne‐Céline Martin France Anne‐Céline Martin's profile →
Citations per field
00.5×5.5×
Anne‐Céline Martin · 1×
Citations per year

Countries citing papers authored by Ting-Chang Sheu

Since Specialization
Citations

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

Fields of papers citing papers by Ting-Chang Sheu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting-Chang Sheu. 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 Ting-Chang Sheu. The network helps show where Ting-Chang Sheu may publish in the future.

Co-authorship network of co-authors of Ting-Chang Sheu

This figure shows the co-authorship network connecting the top 25 collaborators of Ting-Chang Sheu. A scholar is included among the top collaborators of Ting-Chang Sheu 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 Ting-Chang Sheu. Ting-Chang Sheu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

About Ting-Chang Sheu

Ting-Chang Sheu is a scholar working on Agronomy and Crop Science, Immunology and Allergy and Dermatology, having authored 5 papers that have together received 676 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (2 papers), Vector-Borne Animal Diseases (1 paper) and Viral Infections and Immunology Research (1 paper). The work is most often cited by research in Internal Medicine (246 citations), Cardiology and Cardiovascular Medicine (476 citations) and Hematology (121 citations). Ting-Chang Sheu has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Marsha E. Reichman, David J. Graham, Thomas MaCurdy, Jeffrey A. Kelman, Mark Levenson, Katrina Mott, Chris Worrall, Michael Wernecke, Margie R. Goulding and Monika Houstoun. Their work appears in journals such as JAMA, Circulation and SHILAP Revista de lepidopterología.

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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