Chien‐Ting Lin

64 total papers · 1.4k total citations
33 papers, 735 citations indexed

About

Chien‐Ting Lin is a scholar working on Hematology, Oncology and Genetics. According to data from OpenAlex, Chien‐Ting Lin has authored 33 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hematology, 10 papers in Oncology and 9 papers in Genetics. Recurrent topics in Chien‐Ting Lin's work include Acute Myeloid Leukemia Research (9 papers), Lymphoma Diagnosis and Treatment (7 papers) and Chronic Lymphocytic Leukemia Research (5 papers). Chien‐Ting Lin is often cited by papers focused on Acute Myeloid Leukemia Research (9 papers), Lymphoma Diagnosis and Treatment (7 papers) and Chronic Lymphocytic Leukemia Research (5 papers). Chien‐Ting Lin collaborates with scholars based in Taiwan, United States and South Korea. Chien‐Ting Lin's co-authors include Hwei‐Fang Tien, Shang‐Ju Wu, Shang‐Yi Huang, Jih‐Luh Tang, Ming Yao, Wen‐Chien Chou, Hsin‐An Hou, Bor‐Sheng Ko, Woei Tsay and Chien‐Yuan Chen and has published in prestigious journals such as Nature Communications, Blood and PLoS ONE.

In The Last Decade

Chien‐Ting Lin

31 papers receiving 729 citations

Author Peers

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

Author Last Decade Papers Cites
Chien‐Ting Lin 351 297 194 97 92 33 735
Estelle Verburgh 446 1.3× 438 1.5× 226 1.2× 98 1.0× 86 0.9× 34 814
Hirotoshi Sakaguchi 442 1.3× 312 1.1× 204 1.1× 65 0.7× 62 0.7× 51 751
Ilona Seferyńska 374 1.1× 190 0.6× 226 1.2× 94 1.0× 99 1.1× 40 678
Laure Vincent 351 1.0× 432 1.5× 136 0.7× 177 1.8× 94 1.0× 57 795
Angela Hamblin 206 0.6× 283 1.0× 200 1.0× 179 1.8× 96 1.0× 31 702
H Saitoh 257 0.7× 210 0.7× 133 0.7× 162 1.7× 61 0.7× 35 738
Francis Lacombe 287 0.8× 190 0.6× 161 0.8× 141 1.5× 117 1.3× 35 652
Uri Mintz 286 0.8× 127 0.4× 194 1.0× 139 1.4× 118 1.3× 34 695
Robert A. Preti 198 0.6× 288 1.0× 239 1.2× 219 2.3× 57 0.6× 32 890
K Takeyama 230 0.7× 196 0.7× 139 0.7× 219 2.3× 109 1.2× 32 636

Countries citing papers authored by Chien‐Ting Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chien‐Ting Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien‐Ting Lin. 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 Chien‐Ting Lin. The network helps show where Chien‐Ting Lin may publish in the future.

Co-authorship network of co-authors of Chien‐Ting Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Ting Lin. A scholar is included among the top collaborators of Chien‐Ting Lin 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 Chien‐Ting Lin. Chien‐Ting Lin 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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