Daniel Hsiang‐Te Tsai

37 total papers · 1.4k total citations
21 papers, 241 citations indexed

About

Daniel Hsiang‐Te Tsai is a scholar working on Infectious Diseases, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel Hsiang‐Te Tsai has authored 21 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Molecular Biology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel Hsiang‐Te Tsai's work include Diabetes Treatment and Management (3 papers), Anesthesia and Sedative Agents (2 papers) and Neonatal and Maternal Infections (2 papers). Daniel Hsiang‐Te Tsai is often cited by papers focused on Diabetes Treatment and Management (3 papers), Anesthesia and Sedative Agents (2 papers) and Neonatal and Maternal Infections (2 papers). Daniel Hsiang‐Te Tsai collaborates with scholars based in Taiwan, United Kingdom and United States. Daniel Hsiang‐Te Tsai's co-authors include Huei-Yann Tsai, Gail B. Mahady, A. Simon Pickard, Edward Chia‐Cheng Lai, Shih‐Chieh Shao, Yingfen Hsia, Kuan‐Hung Liu, Swu‐Jane Lin, Miao‐Lin Hu and Adrienne Y L Chan and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The British Journal of Psychiatry.

In The Last Decade

Daniel Hsiang‐Te Tsai

15 papers receiving 221 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel Hsiang‐Te Tsai 65 53 33 32 31 21 241
Geraldine Moses 37 0.6× 31 0.6× 32 1.0× 18 0.6× 26 0.8× 32 279
Smita Sontakke 48 0.7× 21 0.4× 49 1.5× 24 0.8× 30 1.0× 27 303
Umar Yagoub 58 0.9× 33 0.6× 23 0.7× 34 1.1× 23 0.7× 17 328
James M Wooten 61 0.9× 32 0.6× 19 0.6× 30 0.9× 10 0.3× 21 267
Atena Mahdavi 28 0.4× 39 0.7× 19 0.6× 36 1.1× 81 2.6× 18 307
Mayuree Tangkiatkumjai 161 2.5× 23 0.4× 40 1.2× 27 0.8× 16 0.5× 13 299
Mohammad Hossein Sharifi 31 0.5× 48 0.9× 14 0.4× 12 0.4× 37 1.2× 42 287
Ilana Levy 105 1.6× 30 0.6× 32 1.0× 29 0.9× 10 0.3× 31 329
Lida Teng 43 0.7× 21 0.4× 30 0.9× 37 1.2× 22 0.7× 24 305
Joan Kapusnik-Uner 38 0.6× 17 0.3× 32 1.0× 21 0.7× 69 2.2× 21 251

Countries citing papers authored by Daniel Hsiang‐Te Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hsiang‐Te Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Hsiang‐Te Tsai

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