Tze‐Kiong Er

103 total papers · 1.1k total citations
56 papers, 835 citations indexed

About

Tze‐Kiong Er is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Tze‐Kiong Er has authored 56 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 15 papers in Oncology and 8 papers in Immunology. Recurrent topics in Tze‐Kiong Er's work include Colorectal Cancer Treatments and Studies (9 papers), Biochemical and Molecular Research (6 papers) and Genetic factors in colorectal cancer (6 papers). Tze‐Kiong Er is often cited by papers focused on Colorectal Cancer Treatments and Studies (9 papers), Biochemical and Molecular Research (6 papers) and Genetic factors in colorectal cancer (6 papers). Tze‐Kiong Er collaborates with scholars based in Taiwan, Spain and United States. Tze‐Kiong Er's co-authors include Jan‐Gowth Chang, Chih-Chieh Chen, Marta Herreros‐Villanueva, Ta‐Chih Liu, Eing‐Mei Tsai, Yuh‐Jyh Jong, Luís Bujanda, Li‐Yu Tsai, Ya‐Sian Chang and Tien‐Jye Chang and has published in prestigious journals such as Nature Communications, PLoS ONE and Cancer Letters.

In The Last Decade

Tze‐Kiong Er

53 papers receiving 822 citations

Author Peers

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

Author Last Decade Papers Cites
Tze‐Kiong Er 389 203 130 123 123 56 835
ES Newlands 337 0.9× 258 1.3× 96 0.7× 172 1.4× 100 0.8× 38 1.0k
Darlene Gibbon 374 1.0× 324 1.6× 58 0.4× 45 0.4× 108 0.9× 38 830
Barrett Jc 308 0.8× 195 1.0× 38 0.3× 72 0.6× 183 1.5× 43 804
Celalettin Camcı 228 0.6× 298 1.5× 100 0.8× 33 0.3× 106 0.9× 65 979
Fei Wang 289 0.7× 224 1.1× 38 0.3× 50 0.4× 145 1.2× 67 1.0k
Maria Pagano 196 0.5× 229 1.1× 137 1.1× 41 0.3× 83 0.7× 50 815
Mohammad Ali Mashhadi 328 0.8× 152 0.7× 124 1.0× 76 0.6× 154 1.3× 67 838
Ezra M. Greenspan 230 0.6× 259 1.3× 91 0.7× 29 0.2× 52 0.4× 62 955
Ying Luo 301 0.8× 123 0.6× 61 0.5× 38 0.3× 102 0.8× 62 730
Agata Filip 315 0.8× 160 0.8× 88 0.7× 104 0.8× 173 1.4× 65 744

Countries citing papers authored by Tze‐Kiong Er

Since Specialization
Citations

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

Fields of papers citing papers by Tze‐Kiong Er

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tze‐Kiong Er. 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 Tze‐Kiong Er. The network helps show where Tze‐Kiong Er may publish in the future.

Co-authorship network of co-authors of Tze‐Kiong Er

This figure shows the co-authorship network connecting the top 25 collaborators of Tze‐Kiong Er. A scholar is included among the top collaborators of Tze‐Kiong Er 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 Tze‐Kiong Er. Tze‐Kiong Er 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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