Chia‐Te Liao

43 total papers · 1.6k total citations
27 papers, 884 citations indexed

About

Chia‐Te Liao is a scholar working on Nephrology, Immunology and Molecular Biology. According to data from OpenAlex, Chia‐Te Liao has authored 27 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Nephrology, 7 papers in Immunology and 6 papers in Molecular Biology. Recurrent topics in Chia‐Te Liao's work include Dialysis and Renal Disease Management (8 papers), Immune cells in cancer (6 papers) and Acute Kidney Injury Research (5 papers). Chia‐Te Liao is often cited by papers focused on Dialysis and Renal Disease Management (8 papers), Immune cells in cancer (6 papers) and Acute Kidney Injury Research (5 papers). Chia‐Te Liao collaborates with scholars based in Taiwan, United Kingdom and Canada. Chia‐Te Liao's co-authors include Philip R. Taylor, Donald Fraser, Luke C. Davies, Simon A. Jones, Marcela Rosas, Valerie B. O’Donnell, Peter Giles, Timothy Stone, Frank Brombacher and Martin Scurr and has published in prestigious journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Chia‐Te Liao

25 papers receiving 874 citations

Author Peers

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

Author Last Decade Papers Cites
Chia‐Te Liao 502 221 120 101 98 27 884
Jurandir J. Dalle Lucca 321 0.6× 189 0.9× 141 1.2× 126 1.2× 38 0.4× 36 967
E. Kondeatis 471 0.9× 129 0.6× 164 1.4× 81 0.8× 45 0.5× 22 972
Bing Han 519 1.0× 214 1.0× 106 0.9× 73 0.7× 52 0.5× 36 986
Hua Li 284 0.6× 643 2.9× 150 1.3× 78 0.8× 89 0.9× 22 913
Estíbaliz Ruiz‐Ortiz 421 0.8× 681 3.1× 136 1.1× 139 1.4× 105 1.1× 32 1.1k
Ke Li 504 1.0× 170 0.8× 72 0.6× 104 1.0× 190 1.9× 44 871
Henry Nording 250 0.5× 142 0.6× 157 1.3× 98 1.0× 35 0.4× 18 812
William McCormack 448 0.9× 237 1.1× 52 0.4× 123 1.2× 32 0.3× 17 832
Peter H. Lapchak 402 0.8× 307 1.4× 132 1.1× 140 1.4× 31 0.3× 29 969
M. R. Daha 346 0.7× 216 1.0× 53 0.4× 73 0.7× 198 2.0× 30 859

Countries citing papers authored by Chia‐Te Liao

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Te Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chia‐Te Liao

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